feat: added prediction and training proto files for enhanced AI Platform client libraries.
Provides defined Message types for formatting data assigned to protobuf.Value fields in AI Platform. PiperOrigin-RevId: 342967619
This commit is contained in:
Google APIs
committed by
Copybara-Service
Copybara-Service
parent
5fdb685a68
commit
e3e7e7ddb0
@@ -1,13 +1,5 @@
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# This file was automatically generated by BuildFileGenerator
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# https://github.com/googleapis/gapic-generator/tree/master/rules_gapic/bazel
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# Most of the manual changes to this file will be overwritten.
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# It's **only** allowed to change the following rule attribute values:
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# - names of *_gapic_assembly_* rules
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# - certain parameters of *_gapic_library rules, including but not limited to:
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# * extra_protoc_parameters
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# * extra_protoc_file_parameters
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# The complete list of preserved parameters can be found in the source code.
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# This file was generated and then heavily edited by hand. Be careful not
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# to rollback, undo, or overwrite any of the manual changes.
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# This is an API workspace, having public visibility by default makes perfect sense.
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package(default_visibility = ["//visibility:public"])
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@@ -18,6 +10,14 @@ package(default_visibility = ["//visibility:public"])
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load("@rules_proto//proto:defs.bzl", "proto_library")
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load("@com_google_googleapis_imports//:imports.bzl", "proto_library_with_info")
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_PROTO_SUBPACKAGE_DEPS = [
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"//google/cloud/aiplatform/v1beta1/schema:schema_proto",
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"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_proto",
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"//google/cloud/aiplatform/v1beta1/schema/predict/params:params_proto",
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"//google/cloud/aiplatform/v1beta1/schema/predict/prediction:prediction_proto",
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"//google/cloud/aiplatform/v1beta1/schema/trainingjob/definition:definition_proto",
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]
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proto_library(
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name = "aiplatform_proto",
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srcs = [
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@@ -72,7 +72,7 @@ proto_library(
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"@com_google_protobuf//:field_mask_proto",
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"@com_google_protobuf//:struct_proto",
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"@com_google_protobuf//:timestamp_proto",
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],
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] + _PROTO_SUBPACKAGE_DEPS,
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)
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proto_library_with_info(
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@@ -80,7 +80,7 @@ proto_library_with_info(
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deps = [
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":aiplatform_proto",
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"//google/cloud:common_resources_proto",
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],
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] + _PROTO_SUBPACKAGE_DEPS,
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)
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##############################################################################
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@@ -93,8 +93,23 @@ load(
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"java_gapic_test",
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"java_grpc_library",
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"java_proto_library",
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"java_resource_name_proto_library",
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)
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_JAVA_PROTO_SUBPACKAGE_DEPS = [
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"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_java_proto",
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"//google/cloud/aiplatform/v1beta1/schema/predict/params:params_java_proto",
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"//google/cloud/aiplatform/v1beta1/schema/predict/prediction:prediction_java_proto",
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"//google/cloud/aiplatform/v1beta1/schema/trainingjob/definition:definition_java_proto",
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]
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_JAVA_GRPC_SUBPACKAGE_DEPS = [
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"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_java_grpc",
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"//google/cloud/aiplatform/v1beta1/schema/predict/params:params_java_grpc",
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"//google/cloud/aiplatform/v1beta1/schema/predict/prediction:prediction_java_grpc",
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"//google/cloud/aiplatform/v1beta1/schema/trainingjob/definition:definition_java_grpc",
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]
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java_proto_library(
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name = "aiplatform_java_proto",
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deps = [":aiplatform_proto"],
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@@ -103,7 +118,7 @@ java_proto_library(
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java_grpc_library(
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name = "aiplatform_java_grpc",
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srcs = [":aiplatform_proto"],
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deps = [":aiplatform_java_proto"],
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deps = [":aiplatform_java_proto"] + _JAVA_PROTO_SUBPACKAGE_DEPS,
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)
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java_gapic_library(
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@@ -115,10 +130,10 @@ java_gapic_library(
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service_yaml = "aiplatform_v1beta1.yaml",
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test_deps = [
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":aiplatform_java_grpc",
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],
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] + _JAVA_GRPC_SUBPACKAGE_DEPS,
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deps = [
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":aiplatform_java_proto",
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],
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] + _JAVA_PROTO_SUBPACKAGE_DEPS,
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)
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java_gapic_test(
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@@ -144,7 +159,7 @@ java_gapic_assembly_gradle_pkg(
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":aiplatform_java_grpc",
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":aiplatform_java_proto",
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":aiplatform_proto",
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],
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] + _JAVA_PROTO_SUBPACKAGE_DEPS + _PROTO_SUBPACKAGE_DEPS + _JAVA_GRPC_SUBPACKAGE_DEPS,
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)
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##############################################################################
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@@ -215,6 +230,13 @@ load(
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py_gapic_library = "py_gapic_library2",
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)
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_PY_GAPIC_SUBPACKAGE_DEPS = [
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"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_py_gapic",
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"//google/cloud/aiplatform/v1beta1/schema/predict/params:params_py_gapic",
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"//google/cloud/aiplatform/v1beta1/schema/predict/prediction:prediction_py_gapic",
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"//google/cloud/aiplatform/v1beta1/schema/trainingjob/definition:definition_py_gapic",
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]
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py_gapic_library(
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name = "aiplatform_py_gapic",
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srcs = [":aiplatform_proto"],
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@@ -226,7 +248,7 @@ py_gapic_assembly_pkg(
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name = "aiplatform-v1beta1-py",
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deps = [
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":aiplatform_py_gapic",
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],
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] + _PROTO_SUBPACKAGE_DEPS + _PY_GAPIC_SUBPACKAGE_DEPS,
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)
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##############################################################################
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@@ -298,7 +320,7 @@ nodejs_gapic_assembly_pkg(
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deps = [
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":aiplatform_nodejs_gapic",
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":aiplatform_proto",
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],
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] + _PROTO_SUBPACKAGE_DEPS,
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)
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##############################################################################
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179
google/cloud/aiplatform/v1beta1/schema/BUILD.bazel
Normal file
179
google/cloud/aiplatform/v1beta1/schema/BUILD.bazel
Normal file
@@ -0,0 +1,179 @@
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# This file was automatically generated by BuildFileGenerator
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# This is an API workspace, having public visibility by default makes perfect sense.
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package(default_visibility = ["//visibility:public"])
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##############################################################################
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# Common
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##############################################################################
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load("@rules_proto//proto:defs.bzl", "proto_library")
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proto_library(
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name = "schema_proto",
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srcs = [
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"annotation_payload.proto",
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"annotation_spec_color.proto",
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"data_item_payload.proto",
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"dataset_metadata.proto",
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"geometry.proto",
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"io_format.proto",
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"saved_query_metadata.proto",
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],
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deps = [
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"//google/api:annotations_proto",
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"//google/api:field_behavior_proto",
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"//google/type:color_proto",
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"@com_google_protobuf//:duration_proto",
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"@com_google_protobuf//:struct_proto",
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"@com_google_protobuf//:wrappers_proto",
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],
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)
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##############################################################################
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# Java
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"java_grpc_library",
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"java_proto_library",
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)
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java_proto_library(
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name = "schema_java_proto",
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deps = [":schema_proto"],
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)
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java_grpc_library(
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name = "schema_java_grpc",
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srcs = [":schema_proto"],
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deps = [":schema_java_proto"],
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)
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##############################################################################
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# Go
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"go_proto_library",
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)
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go_proto_library(
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name = "schema_go_proto",
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compilers = ["@io_bazel_rules_go//proto:go_grpc"],
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importpath = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema",
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protos = [":schema_proto"],
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deps = [
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"//google/api:annotations_go_proto",
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"//google/type:color_go_proto",
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],
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)
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##############################################################################
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# Python
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"moved_proto_library",
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"py_grpc_library",
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"py_proto_library",
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)
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moved_proto_library(
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name = "schema_moved_proto",
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srcs = [":schema_proto"],
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deps = [
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"//google/api:annotations_proto",
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"//google/api:field_behavior_proto",
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"//google/type:color_proto",
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"@com_google_protobuf//:duration_proto",
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"@com_google_protobuf//:struct_proto",
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"@com_google_protobuf//:wrappers_proto",
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],
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)
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py_proto_library(
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name = "schema_py_proto",
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plugin = "@protoc_docs_plugin//:docs_plugin",
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deps = [":schema_moved_proto"],
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)
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py_grpc_library(
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name = "schema_py_grpc",
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srcs = [":schema_moved_proto"],
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deps = [":schema_py_proto"],
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)
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##############################################################################
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# PHP
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"php_grpc_library",
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"php_proto_library",
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)
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php_proto_library(
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name = "schema_php_proto",
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deps = [":schema_proto"],
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)
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php_grpc_library(
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name = "schema_php_grpc",
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srcs = [":schema_proto"],
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deps = [":schema_php_proto"],
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)
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##############################################################################
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# Node.js
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"nodejs_gapic_assembly_pkg",
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"nodejs_gapic_library",
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)
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##############################################################################
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# Ruby
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"ruby_grpc_library",
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"ruby_proto_library",
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)
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ruby_proto_library(
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name = "schema_ruby_proto",
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deps = [":schema_proto"],
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)
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ruby_grpc_library(
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name = "schema_ruby_grpc",
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srcs = [":schema_proto"],
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deps = [":schema_ruby_proto"],
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)
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##############################################################################
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# C#
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##############################################################################
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load(
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"@com_google_googleapis_imports//:imports.bzl",
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"csharp_grpc_library",
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"csharp_proto_library",
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)
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csharp_proto_library(
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name = "schema_csharp_proto",
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deps = [":schema_proto"],
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)
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csharp_grpc_library(
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name = "schema_csharp_grpc",
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srcs = [":schema_proto"],
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deps = [":schema_csharp_proto"],
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)
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##############################################################################
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# C++
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##############################################################################
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# Put your C++ code here
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124
google/cloud/aiplatform/v1beta1/schema/aiplatform_v1beta1.yaml
Normal file
124
google/cloud/aiplatform/v1beta1/schema/aiplatform_v1beta1.yaml
Normal file
@@ -0,0 +1,124 @@
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type: google.api.Service
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config_version: 3
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name: aiplatform.googleapis.com
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title: Cloud AI Platform API
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types:
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- name: google.cloud.aiplatform.v1beta1.schema.ClassificationPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.ImageBoundingBoxAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.ImageClassificationPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.ImageDataItem
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- name: google.cloud.aiplatform.v1beta1.schema.ImageDatasetMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.ImageObjectDetectionPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.ImageSegmentationPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.PredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.TablesDatasetMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.TextClassificationAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.TextClassificationPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.TextDataItem
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- name: google.cloud.aiplatform.v1beta1.schema.TextDatasetMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.TextExtractionAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.TextExtractionPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.TextExtractionPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.TextSentimentSavedQueryMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.TimeSeriesDatasetMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.VideoActionRecognitionPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.VideoClassificationPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.VideoDataItem
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- name: google.cloud.aiplatform.v1beta1.schema.VideoDatasetMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingAnnotation
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- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionParams
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- name: google.cloud.aiplatform.v1beta1.schema.VideoObjectTrackingPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.VisualInspectionClassificationLabelSavedQueryMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.VisualInspectionMaskSavedQueryMetadata
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.ImageClassificationPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.ImageObjectDetectionPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.ImageSegmentationPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.TextClassificationPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.TextExtractionPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.VideoActionRecognitionPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.VideoClassificationPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.instance.VideoObjectTrackingPredictionInstance
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.ImageClassificationPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.ImageObjectDetectionPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.ImageSegmentationPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.VideoActionRecognitionPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.VideoClassificationPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.params.VideoObjectTrackingPredictionParams
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.ClassificationPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.ImageObjectDetectionPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.ImageSegmentationPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.TabularClassificationPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.TabularRegressionPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextExtractionPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
|
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.VideoActionRecognitionPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.VideoClassificationPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.predict.prediction.VideoObjectTrackingPredictionResult
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- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
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- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
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- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
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- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassification
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- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetection
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentation
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTables
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesMetadata
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassification
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassificationInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtraction
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtractionInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentiment
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognition
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassification
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTracking
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
|
||||
- name: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
|
||||
|
||||
documentation:
|
||||
summary: |-
|
||||
Train high-quality custom machine learning models with minimum effort and
|
||||
machine learning expertise.
|
||||
overview: |-
|
||||
AI Platform (Unified) enables data scientists, developers, and AI newcomers
|
||||
to create custom machine learning models specific to their business needs
|
||||
by leveraging Google's state-of-the-art transfer learning and innovative
|
||||
AI research.
|
||||
|
||||
backend:
|
||||
rules:
|
||||
- selector: 'google.longrunning.Operations.*'
|
||||
deadline: 60.0
|
||||
|
||||
authentication:
|
||||
rules:
|
||||
- selector: 'google.longrunning.Operations.*'
|
||||
oauth:
|
||||
canonical_scopes: |-
|
||||
https://www.googleapis.com/auth/cloud-platform
|
||||
228
google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto
Normal file
228
google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto
Normal file
@@ -0,0 +1,228 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto";
|
||||
import "google/cloud/aiplatform/v1beta1/schema/geometry.proto";
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AnnotationPayloadProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// Annotation details specific to image classification.
|
||||
message ImageClassificationAnnotation {
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 2;
|
||||
}
|
||||
|
||||
// Annotation details specific to image object detection.
|
||||
message ImageBoundingBoxAnnotation {
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 2;
|
||||
|
||||
// The leftmost coordinate of the bounding box.
|
||||
double x_min = 3;
|
||||
|
||||
// The rightmost coordinate of the bounding box.
|
||||
double x_max = 4;
|
||||
|
||||
// The topmost coordinate of the bounding box.
|
||||
double y_min = 5;
|
||||
|
||||
// The bottommost coordinate of the bounding box.
|
||||
double y_max = 6;
|
||||
}
|
||||
|
||||
// Annotation details specific to image segmentation.
|
||||
message ImageSegmentationAnnotation {
|
||||
// The mask based segmentation annotation.
|
||||
message MaskAnnotation {
|
||||
// Google Cloud Storage URI that points to the mask image. The image must be
|
||||
// in PNG format. It must have the same size as the DataItem's image. Each
|
||||
// pixel in the image mask represents the AnnotationSpec which the pixel in
|
||||
// the image DataItem belong to. Each color is mapped to one AnnotationSpec
|
||||
// based on annotation_spec_colors.
|
||||
string mask_gcs_uri = 1;
|
||||
|
||||
// The mapping between color and AnnotationSpec for this Annotation.
|
||||
repeated AnnotationSpecColor annotation_spec_colors = 2;
|
||||
}
|
||||
|
||||
// Represents a polygon in image.
|
||||
message PolygonAnnotation {
|
||||
// The vertexes are connected one by one and the last vertex is connected to
|
||||
// the first one to represent a polygon.
|
||||
repeated Vertex vertexes = 1;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 2;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 3;
|
||||
}
|
||||
|
||||
// Represents a polyline in image.
|
||||
message PolylineAnnotation {
|
||||
// The vertexes are connected one by one and the last vertex in not
|
||||
// connected to the first one.
|
||||
repeated Vertex vertexes = 1;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 2;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 3;
|
||||
}
|
||||
|
||||
oneof annotation {
|
||||
// Mask based segmentation annotation. Only one mask annotation can exist
|
||||
// for one image.
|
||||
MaskAnnotation mask_annotation = 3;
|
||||
|
||||
// Polygon annotation.
|
||||
PolygonAnnotation polygon_annotation = 4;
|
||||
|
||||
// Polyline annotation.
|
||||
PolylineAnnotation polyline_annotation = 5;
|
||||
}
|
||||
}
|
||||
|
||||
// Annotation details specific to text classification.
|
||||
message TextClassificationAnnotation {
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 2;
|
||||
}
|
||||
|
||||
// Annotation details specific to text extraction.
|
||||
message TextExtractionAnnotation {
|
||||
// The segment of the text content.
|
||||
TextSegment text_segment = 1;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 2;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 3;
|
||||
}
|
||||
|
||||
// The text segment inside of DataItem.
|
||||
message TextSegment {
|
||||
// Zero-based character index of the first character of the text
|
||||
// segment (counting characters from the beginning of the text).
|
||||
uint64 start_offset = 1;
|
||||
|
||||
// Zero-based character index of the first character past the end of
|
||||
// the text segment (counting character from the beginning of the text).
|
||||
// The character at the end_offset is NOT included in the text segment.
|
||||
uint64 end_offset = 2;
|
||||
|
||||
// The text content in the segment for output only.
|
||||
string content = 3;
|
||||
}
|
||||
|
||||
// Annotation details specific to text sentiment.
|
||||
message TextSentimentAnnotation {
|
||||
// The sentiment score for text.
|
||||
int32 sentiment = 1;
|
||||
|
||||
// The sentiment max score for text.
|
||||
int32 sentiment_max = 2;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 3;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 4;
|
||||
}
|
||||
|
||||
// Annotation details specific to video classification.
|
||||
message VideoClassificationAnnotation {
|
||||
// This Annotation applies to the time period represented by the TimeSegment.
|
||||
// If it's not set, the Annotation applies to the whole video.
|
||||
TimeSegment time_segment = 1;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 2;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 3;
|
||||
}
|
||||
|
||||
// A time period inside of a DataItem that has a time dimension (e.g. video).
|
||||
message TimeSegment {
|
||||
// Start of the time segment (inclusive), represented as the duration since
|
||||
// the start of the DataItem.
|
||||
google.protobuf.Duration start_time_offset = 1;
|
||||
|
||||
// End of the time segment (exclusive), represented as the duration since the
|
||||
// start of the DataItem.
|
||||
google.protobuf.Duration end_time_offset = 2;
|
||||
}
|
||||
|
||||
// Annotation details specific to video object tracking.
|
||||
message VideoObjectTrackingAnnotation {
|
||||
// A time (frame) of a video to which this annotation pertains.
|
||||
// Represented as the duration since the video's start.
|
||||
google.protobuf.Duration time_offset = 1;
|
||||
|
||||
// The leftmost coordinate of the bounding box.
|
||||
double x_min = 2;
|
||||
|
||||
// The rightmost coordinate of the bounding box.
|
||||
double x_max = 3;
|
||||
|
||||
// The topmost coordinate of the bounding box.
|
||||
double y_min = 4;
|
||||
|
||||
// The bottommost coordinate of the bounding box.
|
||||
double y_max = 5;
|
||||
|
||||
// The instance of the object, expressed as a positive integer. Used to track
|
||||
// the same object across different frames.
|
||||
int64 instance_id = 6;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 7;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 8;
|
||||
}
|
||||
|
||||
// Annotation details specific to video action recognition.
|
||||
message VideoActionRecognitionAnnotation {
|
||||
// This Annotation applies to the time period represented by the TimeSegment.
|
||||
// If it's not set, the Annotation applies to the whole video.
|
||||
TimeSegment time_segment = 1;
|
||||
|
||||
// The resource Id of the AnnotationSpec that this Annotation pertains to.
|
||||
string annotation_spec_id = 2;
|
||||
|
||||
// The display name of the AnnotationSpec that this Annotation pertains to.
|
||||
string display_name = 3;
|
||||
}
|
||||
@@ -0,0 +1,40 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/type/color.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AnnotationSpecColorProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// An entry of mapping between color and AnnotationSpec. The mapping is used in
|
||||
// segmentation mask.
|
||||
message AnnotationSpecColor {
|
||||
// The color of the AnnotationSpec in a segmentation mask.
|
||||
google.type.Color color = 1;
|
||||
|
||||
// The display name of the AnnotationSpec represented by the color in the
|
||||
// segmentation mask.
|
||||
string display_name = 2;
|
||||
|
||||
// The ID of the AnnotationSpec represented by the color in the segmentation
|
||||
// mask.
|
||||
string id = 3;
|
||||
}
|
||||
@@ -0,0 +1,66 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/api/field_behavior.proto";
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "DataItemPayloadProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// Payload of Image DataItem.
|
||||
message ImageDataItem {
|
||||
// Required. Google Cloud Storage URI points to the original image in user's bucket.
|
||||
// The image is up to 30MB in size.
|
||||
string gcs_uri = 1 [(google.api.field_behavior) = REQUIRED];
|
||||
|
||||
// Output only. The mime type of the content of the image. Only the images in below listed
|
||||
// mime types are supported.
|
||||
// - image/jpeg
|
||||
// - image/gif
|
||||
// - image/png
|
||||
// - image/webp
|
||||
// - image/bmp
|
||||
// - image/tiff
|
||||
// - image/vnd.microsoft.icon
|
||||
string mime_type = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
|
||||
}
|
||||
|
||||
// Payload of Video DataItem.
|
||||
message VideoDataItem {
|
||||
// Required. Google Cloud Storage URI points to the original video in user's bucket.
|
||||
// The video is up to 50 GB in size and up to 3 hour in duration.
|
||||
string gcs_uri = 1 [(google.api.field_behavior) = REQUIRED];
|
||||
|
||||
// Output only. The mime type of the content of the video. Only the videos in below listed
|
||||
// mime types are supported.
|
||||
// Supported mime_type:
|
||||
// - video/mp4
|
||||
// - video/avi
|
||||
// - video/quicktime
|
||||
string mime_type = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
|
||||
}
|
||||
|
||||
// Payload of Text DataItem.
|
||||
message TextDataItem {
|
||||
// Output only. Google Cloud Storage URI points to the original text in user's bucket.
|
||||
// The text file is up to 10MB in size.
|
||||
string gcs_uri = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
|
||||
}
|
||||
115
google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto
Normal file
115
google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto
Normal file
@@ -0,0 +1,115 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "DatasetMetadataProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// The metadata of Datasets that contain Image DataItems.
|
||||
message ImageDatasetMetadata {
|
||||
// Points to a YAML file stored on Google Cloud Storage describing payload of
|
||||
// the Image DataItems that belong to this Dataset.
|
||||
string data_item_schema_uri = 1;
|
||||
|
||||
// Google Cloud Storage Bucket name that contains the blob data of this
|
||||
// Dataset.
|
||||
string gcs_bucket = 2;
|
||||
}
|
||||
|
||||
// The metadata of Datasets that contain Text DataItems.
|
||||
message TextDatasetMetadata {
|
||||
// Points to a YAML file stored on Google Cloud Storage describing payload of
|
||||
// the Text DataItems that belong to this Dataset.
|
||||
string data_item_schema_uri = 1;
|
||||
|
||||
// Google Cloud Storage Bucket name that contains the blob data of this
|
||||
// Dataset.
|
||||
string gcs_bucket = 2;
|
||||
}
|
||||
|
||||
// The metadata of Datasets that contain Video DataItems.
|
||||
message VideoDatasetMetadata {
|
||||
// Points to a YAML file stored on Google Cloud Storage describing payload of
|
||||
// the Video DataItems that belong to this Dataset.
|
||||
string data_item_schema_uri = 1;
|
||||
|
||||
// Google Cloud Storage Bucket name that contains the blob data of this
|
||||
// Dataset.
|
||||
string gcs_bucket = 2;
|
||||
}
|
||||
|
||||
// The metadata of Datasets that contain tables data.
|
||||
message TablesDatasetMetadata {
|
||||
// The tables Dataset's data source. The Dataset doesn't store the data
|
||||
// directly, but only pointer(s) to its data.
|
||||
message InputConfig {
|
||||
oneof source {
|
||||
GcsSource gcs_source = 1;
|
||||
|
||||
BigQuerySource bigquery_source = 2;
|
||||
}
|
||||
}
|
||||
|
||||
message GcsSource {
|
||||
// Google Cloud Storage URI to a input file, only .csv file is supported.
|
||||
repeated string uri = 1;
|
||||
}
|
||||
|
||||
message BigQuerySource {
|
||||
// The URI of a BigQuery table.
|
||||
string uri = 1;
|
||||
}
|
||||
|
||||
InputConfig input_config = 1;
|
||||
}
|
||||
|
||||
// The metadata of Datasets that contain time series data.
|
||||
message TimeSeriesDatasetMetadata {
|
||||
// The time series Dataset's data source. The Dataset doesn't store the data
|
||||
// directly, but only pointer(s) to its data.
|
||||
message InputConfig {
|
||||
oneof source {
|
||||
GcsSource gcs_source = 1;
|
||||
|
||||
BigQuerySource bigquery_source = 2;
|
||||
}
|
||||
}
|
||||
|
||||
message GcsSource {
|
||||
// Google Cloud Storage URI to a input file, only .csv file is supported.
|
||||
repeated string uri = 1;
|
||||
}
|
||||
|
||||
message BigQuerySource {
|
||||
// The URI of a BigQuery table.
|
||||
string uri = 1;
|
||||
}
|
||||
|
||||
InputConfig input_config = 1;
|
||||
|
||||
// The column name of the time series identifier column that identifies the
|
||||
// time series.
|
||||
string time_series_identifier_column = 2;
|
||||
|
||||
// The column name of the time column that identifies time order in the time
|
||||
// series.
|
||||
string time_column = 3;
|
||||
}
|
||||
35
google/cloud/aiplatform/v1beta1/schema/geometry.proto
Normal file
35
google/cloud/aiplatform/v1beta1/schema/geometry.proto
Normal file
@@ -0,0 +1,35 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "GeometryProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// A vertex represents a 2D point in the image.
|
||||
// NOTE: the normalized vertex coordinates are relative to the original image
|
||||
// and range from 0 to 1.
|
||||
message Vertex {
|
||||
// X coordinate.
|
||||
double x = 1;
|
||||
|
||||
// Y coordinate.
|
||||
double y = 2;
|
||||
}
|
||||
480
google/cloud/aiplatform/v1beta1/schema/io_format.proto
Normal file
480
google/cloud/aiplatform/v1beta1/schema/io_format.proto
Normal file
@@ -0,0 +1,480 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto";
|
||||
import "google/cloud/aiplatform/v1beta1/schema/geometry.proto";
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/protobuf/struct.proto";
|
||||
import "google/protobuf/wrappers.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "IoFormatProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// Prediction input format for Image Classification.
|
||||
message ImageClassificationPredictionInstance {
|
||||
// The image bytes or GCS URI to make the prediction on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/gif
|
||||
// - image/png
|
||||
// - image/webp
|
||||
// - image/bmp
|
||||
// - image/tiff
|
||||
// - image/vnd.microsoft.icon
|
||||
string mime_type = 2;
|
||||
}
|
||||
|
||||
// Prediction input format for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionInstance {
|
||||
// The image bytes or GCS URI to make the prediction on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/gif
|
||||
// - image/png
|
||||
// - image/webp
|
||||
// - image/bmp
|
||||
// - image/tiff
|
||||
// - image/vnd.microsoft.icon
|
||||
string mime_type = 2;
|
||||
}
|
||||
|
||||
// Prediction input format for Image Segmentation.
|
||||
message ImageSegmentationPredictionInstance {
|
||||
// The image bytes to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/png
|
||||
string mime_type = 2;
|
||||
}
|
||||
|
||||
// Prediction input format for Video Classification.
|
||||
message VideoClassificationPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
|
||||
// Prediction input format for Video Classification.
|
||||
message VideoObjectTrackingPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
|
||||
// Prediction input format for Video Action Recognition.
|
||||
message VideoActionRecognitionPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
|
||||
// Prediction input format for Text Classification.
|
||||
message TextClassificationPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
}
|
||||
|
||||
// Prediction input format for Text Sentiment.
|
||||
message TextSentimentPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
}
|
||||
|
||||
// Prediction input format for Text Extraction.
|
||||
message TextExtractionPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
|
||||
// This field is only used for batch prediction. If a key is provided, the
|
||||
// batch prediction result will by mapped to this key. If omitted, then the
|
||||
// batch prediction result will contain the entire input instance. AI Platform
|
||||
// will not check if keys in the request are duplicates, so it is up to the
|
||||
// caller to ensure the keys are unique.
|
||||
string key = 3;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Image Classification.
|
||||
message ImageClassificationPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. If this number is very high, the Model may return
|
||||
// fewer predictions. Default value is 10.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. Note that number of returned predictions is also
|
||||
// limited by metadata's predictionsLimit. Default value is 10.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Image Segmentation.
|
||||
message ImageSegmentationPredictionParams {
|
||||
// When the model predicts category of pixels of the image, it will only
|
||||
// provide predictions for pixels that it is at least this much confident
|
||||
// about. All other pixels will be classified as background. Default value is
|
||||
// 0.5.
|
||||
float confidence_threshold = 1;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Video Classification.
|
||||
message VideoClassificationPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. If this number is very high, the Model may return
|
||||
// fewer predictions. Default value is 10,000.
|
||||
int32 max_predictions = 2;
|
||||
|
||||
// Set to true to request segment-level classification. AI Platform returns
|
||||
// labels and their confidence scores for the entire time segment of the
|
||||
// video that user specified in the input instance.
|
||||
// Default value is true
|
||||
bool segment_classification = 3;
|
||||
|
||||
// Set to true to request shot-level classification. AI Platform determines
|
||||
// the boundaries for each camera shot in the entire time segment of the
|
||||
// video that user specified in the input instance. AI Platform then
|
||||
// returns labels and their confidence scores for each detected shot, along
|
||||
// with the start and end time of the shot.
|
||||
// WARNING: Model evaluation is not done for this classification type,
|
||||
// the quality of it depends on the training data, but there are no metrics
|
||||
// provided to describe that quality.
|
||||
// Default value is false
|
||||
bool shot_classification = 4;
|
||||
|
||||
// Set to true to request classification for a video at one-second intervals.
|
||||
// AI Platform returns labels and their confidence scores for each second of
|
||||
// the entire time segment of the video that user specified in the input
|
||||
// WARNING: Model evaluation is not done for this classification type, the
|
||||
// quality of it depends on the training data, but there are no metrics
|
||||
// provided to describe that quality. Default value is false
|
||||
bool one_sec_interval_classification = 5;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Video Object Tracking.
|
||||
message VideoObjectTrackingPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The model only returns up to that many top, by confidence score,
|
||||
// predictions per frame of the video. If this number is very high, the
|
||||
// Model may return fewer predictions per frame. Default value is 50.
|
||||
int32 max_predictions = 2;
|
||||
|
||||
// Only bounding boxes with shortest edge at least that long as a relative
|
||||
// value of video frame size are returned. Default value is 0.0.
|
||||
float min_bounding_box_size = 3;
|
||||
}
|
||||
|
||||
// Prediction model parameters for Video Action Recognition.
|
||||
message VideoActionRecognitionPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The model only returns up to that many top, by confidence score,
|
||||
// predictions per frame of the video. If this number is very high, the
|
||||
// Model may return fewer predictions per frame. Default value is 50.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
|
||||
// Represents a line of JSONL in the batch prediction output file.
|
||||
message PredictionResult {
|
||||
// Some identifier from the input so that the prediction can be mapped back to
|
||||
// the input instance.
|
||||
oneof input {
|
||||
// User's input instance.
|
||||
// Struct is used here instead of Any so that JsonFormat does not append an
|
||||
// extra "@type" field when we convert the proto to JSON.
|
||||
google.protobuf.Struct instance = 1;
|
||||
|
||||
// Optional user-provided key from the input instance.
|
||||
string key = 2;
|
||||
}
|
||||
|
||||
// The prediction result.
|
||||
// Value is used here instead of Any so that JsonFormat does not append an
|
||||
// extra "@type" field when we convert the proto to JSON and so we can
|
||||
// represent array of objects.
|
||||
google.protobuf.Value prediction = 3;
|
||||
}
|
||||
|
||||
// Represents a line of JSONL in the text sentiment batch prediction output
|
||||
// file. This is a hack to allow printing of integer values.
|
||||
message TextSentimentPredictionResult {
|
||||
// Prediction output format for Text Sentiment.
|
||||
message Prediction {
|
||||
// The integer sentiment labels between 0 (inclusive) and sentimentMax label
|
||||
// (inclusive), while 0 maps to the least positive sentiment and
|
||||
// sentimentMax maps to the most positive one. The higher the score is, the
|
||||
// more positive the sentiment in the text snippet is. Note: sentimentMax is
|
||||
// an integer value between 1 (inclusive) and 10 (inclusive).
|
||||
int32 sentiment = 1;
|
||||
}
|
||||
|
||||
// User's input instance.
|
||||
TextSentimentPredictionInstance instance = 1;
|
||||
|
||||
// The prediction result.
|
||||
Prediction prediction = 2;
|
||||
}
|
||||
|
||||
// Prediction output format for Image Classification.
|
||||
message ClassificationPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified, ordered
|
||||
// by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified, order
|
||||
// matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher value
|
||||
// means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 3;
|
||||
}
|
||||
|
||||
// Prediction output format for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified, ordered
|
||||
// by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified, order
|
||||
// matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher value
|
||||
// means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 3;
|
||||
|
||||
// Bounding boxes, i.e. the rectangles over the image, that pinpoint
|
||||
// the found AnnotationSpecs. Given in order that matches the IDs. Each
|
||||
// bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
|
||||
// `yMax`, which represent the extremal coordinates of the box. They are
|
||||
// relative to the image size, and the point 0,0 is in the top left
|
||||
// of the image.
|
||||
repeated google.protobuf.ListValue bboxes = 4;
|
||||
}
|
||||
|
||||
// Prediction output format for Video Classification.
|
||||
message VideoClassificationPredictionResult {
|
||||
// The resource ID of the AnnotationSpec that had been identified.
|
||||
string id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that had been identified.
|
||||
string display_name = 2;
|
||||
|
||||
// The type of the prediction. The requested types can be configured
|
||||
// via parameters. This will be one of
|
||||
// - segment-classification
|
||||
// - shot-classification
|
||||
// - one-sec-interval-classification
|
||||
string type = 3;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end. Note that for
|
||||
// 'segment-classification' prediction type, this equals the original
|
||||
// 'timeSegmentStart' from the input instance, for other types it is the
|
||||
// start of a shot or a 1 second interval respectively.
|
||||
google.protobuf.Duration time_segment_start = 4;
|
||||
|
||||
// The end, exclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end. Note that for
|
||||
// 'segment-classification' prediction type, this equals the original
|
||||
// 'timeSegmentEnd' from the input instance, for other types it is the end
|
||||
// of a shot or a 1 second interval respectively.
|
||||
google.protobuf.Duration time_segment_end = 5;
|
||||
|
||||
// The Model's confidence in correction of this prediction, higher
|
||||
// value means higher confidence.
|
||||
google.protobuf.FloatValue confidence = 6;
|
||||
}
|
||||
|
||||
// Prediction output format for Video Object Tracking.
|
||||
message VideoObjectTrackingPredictionResult {
|
||||
// The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
|
||||
// i.e. the rectangle over the video frame pinpointing the found
|
||||
// AnnotationSpec. The coordinates are relative to the frame size, and the
|
||||
// point 0,0 is in the top left of the frame.
|
||||
message Frame {
|
||||
// A time (frame) of a video in which the object has been detected.
|
||||
// Expressed as a number of seconds as measured from the
|
||||
// start of the video, with fractions up to a microsecond precision, and
|
||||
// with "s" appended at the end.
|
||||
google.protobuf.Duration time_offset = 1;
|
||||
|
||||
// The leftmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue x_min = 2;
|
||||
|
||||
// The rightmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue x_max = 3;
|
||||
|
||||
// The topmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue y_min = 4;
|
||||
|
||||
// The bottommost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue y_max = 5;
|
||||
}
|
||||
|
||||
// The resource ID of the AnnotationSpec that had been identified.
|
||||
string id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that had been identified.
|
||||
string display_name = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment in which the
|
||||
// object instance has been detected. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_start = 3;
|
||||
|
||||
// The end, inclusive, of the video's time segment in which the
|
||||
// object instance has been detected. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_end = 4;
|
||||
|
||||
// The Model's confidence in correction of this prediction, higher
|
||||
// value means higher confidence.
|
||||
google.protobuf.FloatValue confidence = 5;
|
||||
|
||||
// All of the frames of the video in which a single object instance has been
|
||||
// detected. The bounding boxes in the frames identify the same object.
|
||||
repeated Frame frames = 6;
|
||||
}
|
||||
|
||||
// Prediction output format for Text Extraction.
|
||||
message TextExtractionPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified,
|
||||
// ordered by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified,
|
||||
// order matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The start offsets, inclusive, of the text segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a zero-based number
|
||||
// of characters as measured from the start of the text snippet.
|
||||
repeated int64 text_segment_start_offsets = 3;
|
||||
|
||||
// The end offsets, inclusive, of the text segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a zero-based number
|
||||
// of characters as measured from the start of the text snippet.
|
||||
repeated int64 text_segment_end_offsets = 4;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher
|
||||
// value means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 5;
|
||||
}
|
||||
@@ -0,0 +1,189 @@
|
||||
# This file was automatically generated by BuildFileGenerator
|
||||
|
||||
# This is an API workspace, having public visibility by default makes perfect sense.
|
||||
package(default_visibility = ["//visibility:public"])
|
||||
|
||||
##############################################################################
|
||||
# Common
|
||||
##############################################################################
|
||||
load("@rules_proto//proto:defs.bzl", "proto_library")
|
||||
|
||||
proto_library(
|
||||
name = "instance_proto",
|
||||
srcs = [
|
||||
"image_classification.proto",
|
||||
"image_object_detection.proto",
|
||||
"image_segmentation.proto",
|
||||
"text_classification.proto",
|
||||
"text_extraction.proto",
|
||||
"text_sentiment.proto",
|
||||
"video_action_recognition.proto",
|
||||
"video_classification.proto",
|
||||
"video_object_tracking.proto",
|
||||
],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Java
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"java_grpc_library",
|
||||
"java_proto_library",
|
||||
)
|
||||
|
||||
java_proto_library(
|
||||
name = "instance_java_proto",
|
||||
deps = [":instance_proto"],
|
||||
)
|
||||
|
||||
java_grpc_library(
|
||||
name = "instance_java_grpc",
|
||||
srcs = [":instance_proto"],
|
||||
deps = [":instance_java_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Go
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"go_proto_library",
|
||||
)
|
||||
|
||||
go_proto_library(
|
||||
name = "instance_go_proto",
|
||||
compilers = ["@io_bazel_rules_go//proto:go_grpc"],
|
||||
importpath = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance",
|
||||
protos = [":instance_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_go_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Python
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"moved_proto_library",
|
||||
"py_grpc_library",
|
||||
"py_proto_library",
|
||||
py_gapic_assembly_pkg = "py_gapic_assembly_pkg2",
|
||||
py_gapic_library = "py_gapic_library2",
|
||||
)
|
||||
|
||||
moved_proto_library(
|
||||
name = "instance_moved_proto",
|
||||
srcs = [":instance_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
py_proto_library(
|
||||
name = "instance_py_proto",
|
||||
plugin = "@protoc_docs_plugin//:docs_plugin",
|
||||
deps = [":instance_moved_proto"],
|
||||
)
|
||||
|
||||
py_grpc_library(
|
||||
name = "instance_py_grpc",
|
||||
srcs = [":instance_moved_proto"],
|
||||
deps = [":instance_py_proto"],
|
||||
)
|
||||
|
||||
py_gapic_library(
|
||||
name = "instance_py_gapic",
|
||||
opt_args = [
|
||||
"python-gapic-namespace=google.cloud.aiplatform.v1beta1.schema.predict",
|
||||
"python-gapic-name=instance",
|
||||
],
|
||||
srcs = [":instance_proto"],
|
||||
)
|
||||
|
||||
# Open Source Packages
|
||||
py_gapic_assembly_pkg(
|
||||
name = "instance-py",
|
||||
deps = [
|
||||
":instance_py_gapic",
|
||||
]
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# PHP
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"php_grpc_library",
|
||||
"php_proto_library",
|
||||
)
|
||||
|
||||
php_proto_library(
|
||||
name = "instance_php_proto",
|
||||
deps = [":instance_proto"],
|
||||
)
|
||||
|
||||
php_grpc_library(
|
||||
name = "instance_php_grpc",
|
||||
srcs = [":instance_proto"],
|
||||
deps = [":instance_php_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Node.js
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"nodejs_gapic_assembly_pkg",
|
||||
"nodejs_gapic_library",
|
||||
)
|
||||
|
||||
|
||||
##############################################################################
|
||||
# Ruby
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"ruby_grpc_library",
|
||||
"ruby_proto_library",
|
||||
)
|
||||
|
||||
ruby_proto_library(
|
||||
name = "instance_ruby_proto",
|
||||
deps = [":instance_proto"],
|
||||
)
|
||||
|
||||
ruby_grpc_library(
|
||||
name = "instance_ruby_grpc",
|
||||
srcs = [":instance_proto"],
|
||||
deps = [":instance_ruby_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C#
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"csharp_grpc_library",
|
||||
"csharp_proto_library",
|
||||
)
|
||||
|
||||
csharp_proto_library(
|
||||
name = "instance_csharp_proto",
|
||||
deps = [":instance_proto"],
|
||||
)
|
||||
|
||||
csharp_grpc_library(
|
||||
name = "instance_csharp_grpc",
|
||||
srcs = [":instance_proto"],
|
||||
deps = [":instance_csharp_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C++
|
||||
##############################################################################
|
||||
# Put your C++ code here
|
||||
@@ -0,0 +1,41 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageClassificationPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Image Classification.
|
||||
message ImageClassificationPredictionInstance {
|
||||
// The image bytes or GCS URI to make the prediction on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/gif
|
||||
// - image/png
|
||||
// - image/webp
|
||||
// - image/bmp
|
||||
// - image/tiff
|
||||
// - image/vnd.microsoft.icon
|
||||
string mime_type = 2;
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageObjectDetectionPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionInstance {
|
||||
// The image bytes or GCS URI to make the prediction on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/gif
|
||||
// - image/png
|
||||
// - image/webp
|
||||
// - image/bmp
|
||||
// - image/tiff
|
||||
// - image/vnd.microsoft.icon
|
||||
string mime_type = 2;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageSegmentationPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Image Segmentation.
|
||||
message ImageSegmentationPredictionInstance {
|
||||
// The image bytes to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the image. Only the images in below listed
|
||||
// MIME types are supported.
|
||||
// - image/jpeg
|
||||
// - image/png
|
||||
string mime_type = 2;
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TextClassificationPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Text Classification.
|
||||
message TextClassificationPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
}
|
||||
@@ -0,0 +1,42 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TextExtractionPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Text Extraction.
|
||||
message TextExtractionPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
|
||||
// This field is only used for batch prediction. If a key is provided, the
|
||||
// batch prediction result will by mapped to this key. If omitted, then the
|
||||
// batch prediction result will contain the entire input instance. AI Platform
|
||||
// will not check if keys in the request are duplicates, so it is up to the
|
||||
// caller to ensure the keys are unique.
|
||||
string key = 3;
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TextSentimentPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Text Sentiment.
|
||||
message TextSentimentPredictionInstance {
|
||||
// The text snippet to make the predictions on.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the text snippet. The supported MIME types are listed
|
||||
// below.
|
||||
// - text/plain
|
||||
string mime_type = 2;
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoActionRecognitionPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Video Action Recognition.
|
||||
message VideoActionRecognitionPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoClassificationPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Video Classification.
|
||||
message VideoClassificationPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.instance;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoObjectTrackingPredictionInstanceProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
|
||||
|
||||
// Prediction input format for Video Object Tracking.
|
||||
message VideoObjectTrackingPredictionInstance {
|
||||
// The Google Cloud Storage location of the video on which to perform the
|
||||
// prediction.
|
||||
string content = 1;
|
||||
|
||||
// The MIME type of the content of the video. Only the following are
|
||||
// supported: video/mp4 video/avi video/quicktime
|
||||
string mime_type = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision.
|
||||
string time_segment_start = 3;
|
||||
|
||||
// The end, exclusive, of the video's time segment on which to perform
|
||||
// the prediction. Expressed as a number of seconds as measured from the
|
||||
// start of the video, with "s" appended at the end. Fractions are allowed,
|
||||
// up to a microsecond precision, and "Infinity" is allowed, which means the
|
||||
// end of the video.
|
||||
string time_segment_end = 4;
|
||||
}
|
||||
@@ -0,0 +1,186 @@
|
||||
# This file was automatically generated by BuildFileGenerator
|
||||
|
||||
# This is an API workspace, having public visibility by default makes perfect sense.
|
||||
package(default_visibility = ["//visibility:public"])
|
||||
|
||||
##############################################################################
|
||||
# Common
|
||||
##############################################################################
|
||||
load("@rules_proto//proto:defs.bzl", "proto_library")
|
||||
|
||||
proto_library(
|
||||
name = "params_proto",
|
||||
srcs = [
|
||||
"image_classification.proto",
|
||||
"image_object_detection.proto",
|
||||
"image_segmentation.proto",
|
||||
"video_action_recognition.proto",
|
||||
"video_classification.proto",
|
||||
"video_object_tracking.proto",
|
||||
],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Java
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"java_grpc_library",
|
||||
"java_proto_library",
|
||||
)
|
||||
|
||||
java_proto_library(
|
||||
name = "params_java_proto",
|
||||
deps = [":params_proto"],
|
||||
)
|
||||
|
||||
java_grpc_library(
|
||||
name = "params_java_grpc",
|
||||
srcs = [":params_proto"],
|
||||
deps = [":params_java_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Go
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"go_proto_library",
|
||||
)
|
||||
|
||||
go_proto_library(
|
||||
name = "params_go_proto",
|
||||
compilers = ["@io_bazel_rules_go//proto:go_grpc"],
|
||||
importpath = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params",
|
||||
protos = [":params_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_go_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Python
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"moved_proto_library",
|
||||
"py_grpc_library",
|
||||
"py_proto_library",
|
||||
py_gapic_assembly_pkg = "py_gapic_assembly_pkg2",
|
||||
py_gapic_library = "py_gapic_library2",
|
||||
)
|
||||
|
||||
moved_proto_library(
|
||||
name = "params_moved_proto",
|
||||
srcs = [":params_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
py_proto_library(
|
||||
name = "params_py_proto",
|
||||
plugin = "@protoc_docs_plugin//:docs_plugin",
|
||||
deps = [":params_moved_proto"],
|
||||
)
|
||||
|
||||
py_grpc_library(
|
||||
name = "params_py_grpc",
|
||||
srcs = [":params_moved_proto"],
|
||||
deps = [":params_py_proto"],
|
||||
)
|
||||
|
||||
py_gapic_library(
|
||||
name = "params_py_gapic",
|
||||
opt_args = [
|
||||
"python-gapic-namespace=google.cloud.aiplatform.v1beta1.schema.predict",
|
||||
"python-gapic-name=params",
|
||||
],
|
||||
srcs = [":params_proto"],
|
||||
)
|
||||
|
||||
# Open Source Packages
|
||||
py_gapic_assembly_pkg(
|
||||
name = "params-py",
|
||||
deps = [
|
||||
":params_py_gapic",
|
||||
]
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# PHP
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"php_grpc_library",
|
||||
"php_proto_library",
|
||||
)
|
||||
|
||||
php_proto_library(
|
||||
name = "params_php_proto",
|
||||
deps = [":params_proto"],
|
||||
)
|
||||
|
||||
php_grpc_library(
|
||||
name = "params_php_grpc",
|
||||
srcs = [":params_proto"],
|
||||
deps = [":params_php_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Node.js
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"nodejs_gapic_assembly_pkg",
|
||||
"nodejs_gapic_library",
|
||||
)
|
||||
|
||||
|
||||
##############################################################################
|
||||
# Ruby
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"ruby_grpc_library",
|
||||
"ruby_proto_library",
|
||||
)
|
||||
|
||||
ruby_proto_library(
|
||||
name = "params_ruby_proto",
|
||||
deps = [":params_proto"],
|
||||
)
|
||||
|
||||
ruby_grpc_library(
|
||||
name = "params_ruby_grpc",
|
||||
srcs = [":params_proto"],
|
||||
deps = [":params_ruby_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C#
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"csharp_grpc_library",
|
||||
"csharp_proto_library",
|
||||
)
|
||||
|
||||
csharp_proto_library(
|
||||
name = "params_csharp_proto",
|
||||
deps = [":params_proto"],
|
||||
)
|
||||
|
||||
csharp_grpc_library(
|
||||
name = "params_csharp_grpc",
|
||||
srcs = [":params_proto"],
|
||||
deps = [":params_csharp_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C++
|
||||
##############################################################################
|
||||
# Put your C++ code here
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageClassificationPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Image Classification.
|
||||
message ImageClassificationPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. If this number is very high, the Model may return
|
||||
// fewer predictions. Default value is 10.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageObjectDetectionPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. Note that number of returned predictions is also
|
||||
// limited by metadata's predictionsLimit. Default value is 10.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageSegmentationPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Image Segmentation.
|
||||
message ImageSegmentationPredictionParams {
|
||||
// When the model predicts category of pixels of the image, it will only
|
||||
// provide predictions for pixels that it is at least this much confident
|
||||
// about. All other pixels will be classified as background. Default value is
|
||||
// 0.5.
|
||||
float confidence_threshold = 1;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoActionRecognitionPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Video Action Recognition.
|
||||
message VideoActionRecognitionPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The model only returns up to that many top, by confidence score,
|
||||
// predictions per frame of the video. If this number is very high, the
|
||||
// Model may return fewer predictions per frame. Default value is 50.
|
||||
int32 max_predictions = 2;
|
||||
}
|
||||
@@ -0,0 +1,61 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoClassificationPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Video Classification.
|
||||
message VideoClassificationPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The Model only returns up to that many top, by confidence score,
|
||||
// predictions per instance. If this number is very high, the Model may return
|
||||
// fewer predictions. Default value is 10,000.
|
||||
int32 max_predictions = 2;
|
||||
|
||||
// Set to true to request segment-level classification. AI Platform returns
|
||||
// labels and their confidence scores for the entire time segment of the
|
||||
// video that user specified in the input instance.
|
||||
// Default value is true
|
||||
bool segment_classification = 3;
|
||||
|
||||
// Set to true to request shot-level classification. AI Platform determines
|
||||
// the boundaries for each camera shot in the entire time segment of the
|
||||
// video that user specified in the input instance. AI Platform then
|
||||
// returns labels and their confidence scores for each detected shot, along
|
||||
// with the start and end time of the shot.
|
||||
// WARNING: Model evaluation is not done for this classification type,
|
||||
// the quality of it depends on the training data, but there are no metrics
|
||||
// provided to describe that quality.
|
||||
// Default value is false
|
||||
bool shot_classification = 4;
|
||||
|
||||
// Set to true to request classification for a video at one-second intervals.
|
||||
// AI Platform returns labels and their confidence scores for each second of
|
||||
// the entire time segment of the video that user specified in the input
|
||||
// WARNING: Model evaluation is not done for this classification type, the
|
||||
// quality of it depends on the training data, but there are no metrics
|
||||
// provided to describe that quality. Default value is false
|
||||
bool one_sec_interval_classification = 5;
|
||||
}
|
||||
@@ -0,0 +1,40 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.params;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoObjectTrackingPredictionParamsProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
|
||||
|
||||
// Prediction model parameters for Video Object Tracking.
|
||||
message VideoObjectTrackingPredictionParams {
|
||||
// The Model only returns predictions with at least this confidence score.
|
||||
// Default value is 0.0
|
||||
float confidence_threshold = 1;
|
||||
|
||||
// The model only returns up to that many top, by confidence score,
|
||||
// predictions per frame of the video. If this number is very high, the
|
||||
// Model may return fewer predictions per frame. Default value is 50.
|
||||
int32 max_predictions = 2;
|
||||
|
||||
// Only bounding boxes with shortest edge at least that long as a relative
|
||||
// value of video frame size are returned. Default value is 0.0.
|
||||
float min_bounding_box_size = 3;
|
||||
}
|
||||
@@ -0,0 +1,200 @@
|
||||
# This file was automatically generated by BuildFileGenerator
|
||||
|
||||
# This is an API workspace, having public visibility by default makes perfect sense.
|
||||
package(default_visibility = ["//visibility:public"])
|
||||
|
||||
##############################################################################
|
||||
# Common
|
||||
##############################################################################
|
||||
load("@rules_proto//proto:defs.bzl", "proto_library")
|
||||
|
||||
proto_library(
|
||||
name = "prediction_proto",
|
||||
srcs = [
|
||||
"classification.proto",
|
||||
"image_object_detection.proto",
|
||||
"image_segmentation.proto",
|
||||
"tabular_classification.proto",
|
||||
"tabular_regression.proto",
|
||||
"text_extraction.proto",
|
||||
"text_sentiment.proto",
|
||||
"time_series_forecasting.proto",
|
||||
"video_action_recognition.proto",
|
||||
"video_classification.proto",
|
||||
"video_object_tracking.proto",
|
||||
],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_proto",
|
||||
"@com_google_protobuf//:duration_proto",
|
||||
"@com_google_protobuf//:struct_proto",
|
||||
"@com_google_protobuf//:wrappers_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Java
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"java_grpc_library",
|
||||
"java_proto_library",
|
||||
)
|
||||
|
||||
java_proto_library(
|
||||
name = "prediction_java_proto",
|
||||
deps = [":prediction_proto"],
|
||||
)
|
||||
|
||||
java_grpc_library(
|
||||
name = "prediction_java_grpc",
|
||||
srcs = [":prediction_proto"],
|
||||
deps = [":prediction_java_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Go
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"go_proto_library",
|
||||
)
|
||||
|
||||
go_proto_library(
|
||||
name = "prediction_go_proto",
|
||||
compilers = ["@io_bazel_rules_go//proto:go_grpc"],
|
||||
importpath = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction",
|
||||
protos = [":prediction_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_go_proto",
|
||||
"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_go_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Python
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"moved_proto_library",
|
||||
"py_grpc_library",
|
||||
"py_proto_library",
|
||||
py_gapic_assembly_pkg = "py_gapic_assembly_pkg2",
|
||||
py_gapic_library = "py_gapic_library2",
|
||||
)
|
||||
|
||||
moved_proto_library(
|
||||
name = "prediction_moved_proto",
|
||||
srcs = [":prediction_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
"//google/cloud/aiplatform/v1beta1/schema/predict/instance:instance_proto",
|
||||
"@com_google_protobuf//:duration_proto",
|
||||
"@com_google_protobuf//:struct_proto",
|
||||
"@com_google_protobuf//:wrappers_proto",
|
||||
],
|
||||
)
|
||||
|
||||
py_proto_library(
|
||||
name = "prediction_py_proto",
|
||||
plugin = "@protoc_docs_plugin//:docs_plugin",
|
||||
deps = [":prediction_moved_proto"],
|
||||
)
|
||||
|
||||
py_grpc_library(
|
||||
name = "prediction_py_grpc",
|
||||
srcs = [":prediction_moved_proto"],
|
||||
deps = [":prediction_py_proto"],
|
||||
)
|
||||
|
||||
py_gapic_library(
|
||||
name = "prediction_py_gapic",
|
||||
opt_args = [
|
||||
"python-gapic-namespace=google.cloud.aiplatform.v1beta1.schema.predict",
|
||||
"python-gapic-name=prediction",
|
||||
],
|
||||
srcs = [":prediction_proto"],
|
||||
)
|
||||
|
||||
# Open Source Packages
|
||||
py_gapic_assembly_pkg(
|
||||
name = "prediction-py",
|
||||
deps = [
|
||||
":prediction_py_gapic",
|
||||
]
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# PHP
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"php_grpc_library",
|
||||
"php_proto_library",
|
||||
)
|
||||
|
||||
php_proto_library(
|
||||
name = "prediction_php_proto",
|
||||
deps = [":prediction_proto"],
|
||||
)
|
||||
|
||||
php_grpc_library(
|
||||
name = "prediction_php_grpc",
|
||||
srcs = [":prediction_proto"],
|
||||
deps = [":prediction_php_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Node.js
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"nodejs_gapic_assembly_pkg",
|
||||
"nodejs_gapic_library",
|
||||
)
|
||||
|
||||
|
||||
##############################################################################
|
||||
# Ruby
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"ruby_grpc_library",
|
||||
"ruby_proto_library",
|
||||
)
|
||||
|
||||
ruby_proto_library(
|
||||
name = "prediction_ruby_proto",
|
||||
deps = [":prediction_proto"],
|
||||
)
|
||||
|
||||
ruby_grpc_library(
|
||||
name = "prediction_ruby_grpc",
|
||||
srcs = [":prediction_proto"],
|
||||
deps = [":prediction_ruby_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C#
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"csharp_grpc_library",
|
||||
"csharp_proto_library",
|
||||
)
|
||||
|
||||
csharp_proto_library(
|
||||
name = "prediction_csharp_proto",
|
||||
deps = [":prediction_proto"],
|
||||
)
|
||||
|
||||
csharp_grpc_library(
|
||||
name = "prediction_csharp_grpc",
|
||||
srcs = [":prediction_proto"],
|
||||
deps = [":prediction_csharp_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C++
|
||||
##############################################################################
|
||||
# Put your C++ code here
|
||||
@@ -0,0 +1,39 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ClassificationPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Image and Text Classification.
|
||||
message ClassificationPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified, ordered
|
||||
// by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified, order
|
||||
// matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher value
|
||||
// means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 3;
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/protobuf/struct.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageObjectDetectionPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Image Object Detection.
|
||||
message ImageObjectDetectionPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified, ordered
|
||||
// by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified, order
|
||||
// matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher value
|
||||
// means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 3;
|
||||
|
||||
// Bounding boxes, i.e. the rectangles over the image, that pinpoint
|
||||
// the found AnnotationSpecs. Given in order that matches the IDs. Each
|
||||
// bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
|
||||
// `yMax`, which represent the extremal coordinates of the box. They are
|
||||
// relative to the image size, and the point 0,0 is in the top left
|
||||
// of the image.
|
||||
repeated google.protobuf.ListValue bboxes = 4;
|
||||
}
|
||||
@@ -0,0 +1,42 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ImageSegmentationPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Image Segmentation.
|
||||
message ImageSegmentationPredictionResult {
|
||||
// A PNG image where each pixel in the mask represents the category in which
|
||||
// the pixel in the original image was predicted to belong to. The size of
|
||||
// this image will be the same as the original image. The mapping between the
|
||||
// AnntoationSpec and the color can be found in model's metadata. The model
|
||||
// will choose the most likely category and if none of the categories reach
|
||||
// the confidence threshold, the pixel will be marked as background.
|
||||
bytes category_mask = 1;
|
||||
|
||||
// A one channel image which is encoded as an 8bit lossless PNG. The size of
|
||||
// the image will be the same as the original image. For a specific pixel,
|
||||
// darker color means less confidence in correctness of the cateogry in the
|
||||
// categoryMask for the corresponding pixel. Black means no confidence and
|
||||
// white means complete confidence.
|
||||
bytes confidence_mask = 2;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TabularClassificationPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Tabular Classification.
|
||||
message TabularClassificationPredictionResult {
|
||||
// The name of the classes being classified, contains all possible values of
|
||||
// the target column.
|
||||
repeated string classes = 1;
|
||||
|
||||
// The model's confidence in each class being correct, higher
|
||||
// value means higher confidence. The N-th score corresponds to
|
||||
// the N-th class in classes.
|
||||
repeated float scores = 2;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TabularRegressionPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Tabular Regression.
|
||||
message TabularRegressionPredictionResult {
|
||||
// The regression value.
|
||||
float value = 1;
|
||||
|
||||
// The lower bound of the prediction interval.
|
||||
float lower_bound = 2;
|
||||
|
||||
// The upper bound of the prediction interval.
|
||||
float upper_bound = 3;
|
||||
}
|
||||
@@ -0,0 +1,49 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TextExtractionPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Text Extraction.
|
||||
message TextExtractionPredictionResult {
|
||||
// The resource IDs of the AnnotationSpecs that had been identified,
|
||||
// ordered by the confidence score descendingly.
|
||||
repeated int64 ids = 1;
|
||||
|
||||
// The display names of the AnnotationSpecs that had been identified,
|
||||
// order matches the IDs.
|
||||
repeated string display_names = 2;
|
||||
|
||||
// The start offsets, inclusive, of the text segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a zero-based number
|
||||
// of characters as measured from the start of the text snippet.
|
||||
repeated int64 text_segment_start_offsets = 3;
|
||||
|
||||
// The end offsets, inclusive, of the text segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a zero-based number
|
||||
// of characters as measured from the start of the text snippet.
|
||||
repeated int64 text_segment_end_offsets = 4;
|
||||
|
||||
// The Model's confidences in correctness of the predicted IDs, higher
|
||||
// value means higher confidence. Order matches the Ids.
|
||||
repeated float confidences = 5;
|
||||
}
|
||||
@@ -0,0 +1,45 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/predict/instance/text_sentiment.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TextSentimentPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Represents a line of JSONL in the text sentiment batch prediction output
|
||||
// file. This is a hack to allow printing of integer values.
|
||||
message TextSentimentPredictionResult {
|
||||
// Prediction output format for Text Sentiment.
|
||||
message Prediction {
|
||||
// The integer sentiment labels between 0 (inclusive) and sentimentMax label
|
||||
// (inclusive), while 0 maps to the least positive sentiment and
|
||||
// sentimentMax maps to the most positive one. The higher the score is, the
|
||||
// more positive the sentiment in the text snippet is. Note: sentimentMax is
|
||||
// an integer value between 1 (inclusive) and 10 (inclusive).
|
||||
int32 sentiment = 1;
|
||||
}
|
||||
|
||||
// User's input instance.
|
||||
google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
|
||||
|
||||
// The prediction result.
|
||||
Prediction prediction = 2;
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "TimeSeriesForecastingPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Time Series Forecasting.
|
||||
message TimeSeriesForecastingPredictionResult {
|
||||
// The regression value.
|
||||
float value = 1;
|
||||
|
||||
// The lower bound of the prediction interval.
|
||||
float lower_bound = 2;
|
||||
|
||||
// The upper bound of the prediction interval.
|
||||
float upper_bound = 3;
|
||||
}
|
||||
@@ -0,0 +1,51 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/protobuf/wrappers.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoActionRecognitionPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Video Action Recognition.
|
||||
message VideoActionRecognitionPredictionResult {
|
||||
// The resource ID of the AnnotationSpec that had been identified.
|
||||
string id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that had been identified.
|
||||
string display_name = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_start = 4;
|
||||
|
||||
// The end, exclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_end = 5;
|
||||
|
||||
// The Model's confidence in correction of this prediction, higher
|
||||
// value means higher confidence.
|
||||
google.protobuf.FloatValue confidence = 6;
|
||||
}
|
||||
@@ -0,0 +1,64 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/protobuf/wrappers.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoClassificationPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Video Classification.
|
||||
message VideoClassificationPredictionResult {
|
||||
// The resource ID of the AnnotationSpec that had been identified.
|
||||
string id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that had been identified.
|
||||
string display_name = 2;
|
||||
|
||||
// The type of the prediction. The requested types can be configured
|
||||
// via parameters. This will be one of
|
||||
// - segment-classification
|
||||
// - shot-classification
|
||||
// - one-sec-interval-classification
|
||||
string type = 3;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end. Note that for
|
||||
// 'segment-classification' prediction type, this equals the original
|
||||
// 'timeSegmentStart' from the input instance, for other types it is the
|
||||
// start of a shot or a 1 second interval respectively.
|
||||
google.protobuf.Duration time_segment_start = 4;
|
||||
|
||||
// The end, exclusive, of the video's time segment in which the
|
||||
// AnnotationSpec has been identified. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end. Note that for
|
||||
// 'segment-classification' prediction type, this equals the original
|
||||
// 'timeSegmentEnd' from the input instance, for other types it is the end
|
||||
// of a shot or a 1 second interval respectively.
|
||||
google.protobuf.Duration time_segment_end = 5;
|
||||
|
||||
// The Model's confidence in correction of this prediction, higher
|
||||
// value means higher confidence.
|
||||
google.protobuf.FloatValue confidence = 6;
|
||||
}
|
||||
@@ -0,0 +1,79 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
|
||||
|
||||
import "google/protobuf/duration.proto";
|
||||
import "google/protobuf/wrappers.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "VideoObjectTrackingPredictionResultProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
|
||||
|
||||
// Prediction output format for Video Object Tracking.
|
||||
message VideoObjectTrackingPredictionResult {
|
||||
// The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
|
||||
// i.e. the rectangle over the video frame pinpointing the found
|
||||
// AnnotationSpec. The coordinates are relative to the frame size, and the
|
||||
// point 0,0 is in the top left of the frame.
|
||||
message Frame {
|
||||
// A time (frame) of a video in which the object has been detected.
|
||||
// Expressed as a number of seconds as measured from the
|
||||
// start of the video, with fractions up to a microsecond precision, and
|
||||
// with "s" appended at the end.
|
||||
google.protobuf.Duration time_offset = 1;
|
||||
|
||||
// The leftmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue x_min = 2;
|
||||
|
||||
// The rightmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue x_max = 3;
|
||||
|
||||
// The topmost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue y_min = 4;
|
||||
|
||||
// The bottommost coordinate of the bounding box.
|
||||
google.protobuf.FloatValue y_max = 5;
|
||||
}
|
||||
|
||||
// The resource ID of the AnnotationSpec that had been identified.
|
||||
string id = 1;
|
||||
|
||||
// The display name of the AnnotationSpec that had been identified.
|
||||
string display_name = 2;
|
||||
|
||||
// The beginning, inclusive, of the video's time segment in which the
|
||||
// object instance has been detected. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_start = 3;
|
||||
|
||||
// The end, inclusive, of the video's time segment in which the
|
||||
// object instance has been detected. Expressed as a number of seconds as
|
||||
// measured from the start of the video, with fractions up to a microsecond
|
||||
// precision, and with "s" appended at the end.
|
||||
google.protobuf.Duration time_segment_end = 4;
|
||||
|
||||
// The Model's confidence in correction of this prediction, higher
|
||||
// value means higher confidence.
|
||||
google.protobuf.FloatValue confidence = 5;
|
||||
|
||||
// All of the frames of the video in which a single object instance has been
|
||||
// detected. The bounding boxes in the frames identify the same object.
|
||||
repeated Frame frames = 6;
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "SavedQueryMetadataProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
|
||||
|
||||
// The metadata of SavedQuery contains TextSentiment Annotations.
|
||||
message TextSentimentSavedQueryMetadata {
|
||||
// The maximum sentiment of sentiment Anntoation in this SavedQuery.
|
||||
int32 sentiment_max = 1;
|
||||
}
|
||||
|
||||
message VisualInspectionClassificationLabelSavedQueryMetadata {
|
||||
// Whether or not the classification label is multi_label.
|
||||
bool multi_label = 1;
|
||||
}
|
||||
|
||||
message VisualInspectionMaskSavedQueryMetadata {
|
||||
// The mapping between color and AnnotationSpec for this SavedQuery.
|
||||
repeated AnnotationSpecColor color_map = 2;
|
||||
}
|
||||
@@ -0,0 +1,192 @@
|
||||
# This file was automatically generated by BuildFileGenerator
|
||||
|
||||
# This is an API workspace, having public visibility by default makes perfect sense.
|
||||
package(default_visibility = ["//visibility:public"])
|
||||
|
||||
##############################################################################
|
||||
# Common
|
||||
##############################################################################
|
||||
load("@rules_proto//proto:defs.bzl", "proto_library")
|
||||
|
||||
proto_library(
|
||||
name = "definition_proto",
|
||||
srcs = [
|
||||
"automl_forecasting.proto",
|
||||
"automl_image_classification.proto",
|
||||
"automl_image_object_detection.proto",
|
||||
"automl_image_segmentation.proto",
|
||||
"automl_tables.proto",
|
||||
"automl_text_classification.proto",
|
||||
"automl_text_extraction.proto",
|
||||
"automl_text_sentiment.proto",
|
||||
"automl_video_action_recognition.proto",
|
||||
"automl_video_classification.proto",
|
||||
"automl_video_object_tracking.proto",
|
||||
"export_evaluated_data_items_config.proto",
|
||||
],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Java
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"java_grpc_library",
|
||||
"java_proto_library",
|
||||
)
|
||||
|
||||
java_proto_library(
|
||||
name = "definition_java_proto",
|
||||
deps = [":definition_proto"],
|
||||
)
|
||||
|
||||
java_grpc_library(
|
||||
name = "definition_java_grpc",
|
||||
srcs = [":definition_proto"],
|
||||
deps = [":definition_java_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Go
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"go_proto_library",
|
||||
)
|
||||
|
||||
go_proto_library(
|
||||
name = "definition_go_proto",
|
||||
compilers = ["@io_bazel_rules_go//proto:go_grpc"],
|
||||
importpath = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition",
|
||||
protos = [":definition_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_go_proto",
|
||||
],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Python
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"moved_proto_library",
|
||||
"py_grpc_library",
|
||||
"py_proto_library",
|
||||
py_gapic_assembly_pkg = "py_gapic_assembly_pkg2",
|
||||
py_gapic_library = "py_gapic_library2",
|
||||
)
|
||||
|
||||
moved_proto_library(
|
||||
name = "definition_moved_proto",
|
||||
srcs = [":definition_proto"],
|
||||
deps = [
|
||||
"//google/api:annotations_proto",
|
||||
],
|
||||
)
|
||||
|
||||
py_proto_library(
|
||||
name = "definition_py_proto",
|
||||
plugin = "@protoc_docs_plugin//:docs_plugin",
|
||||
deps = [":definition_moved_proto"],
|
||||
)
|
||||
|
||||
py_grpc_library(
|
||||
name = "definition_py_grpc",
|
||||
srcs = [":definition_moved_proto"],
|
||||
deps = [":definition_py_proto"],
|
||||
)
|
||||
|
||||
py_gapic_library(
|
||||
name = "definition_py_gapic",
|
||||
opt_args = [
|
||||
"python-gapic-namespace=google.cloud.aiplatform.v1beta1.schema.trainingjob",
|
||||
"python-gapic-name=definition",
|
||||
],
|
||||
srcs = [":definition_proto"],
|
||||
)
|
||||
|
||||
# Open Source Packages
|
||||
py_gapic_assembly_pkg(
|
||||
name = "definition_py",
|
||||
deps = [
|
||||
":definition_py_gapic",
|
||||
]
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# PHP
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"php_grpc_library",
|
||||
"php_proto_library",
|
||||
)
|
||||
|
||||
php_proto_library(
|
||||
name = "definition_php_proto",
|
||||
deps = [":definition_proto"],
|
||||
)
|
||||
|
||||
php_grpc_library(
|
||||
name = "definition_php_grpc",
|
||||
srcs = [":definition_proto"],
|
||||
deps = [":definition_php_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# Node.js
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"nodejs_gapic_assembly_pkg",
|
||||
"nodejs_gapic_library",
|
||||
)
|
||||
|
||||
|
||||
##############################################################################
|
||||
# Ruby
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"ruby_grpc_library",
|
||||
"ruby_proto_library",
|
||||
)
|
||||
|
||||
ruby_proto_library(
|
||||
name = "definition_ruby_proto",
|
||||
deps = [":definition_proto"],
|
||||
)
|
||||
|
||||
ruby_grpc_library(
|
||||
name = "definition_ruby_grpc",
|
||||
srcs = [":definition_proto"],
|
||||
deps = [":definition_ruby_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C#
|
||||
##############################################################################
|
||||
load(
|
||||
"@com_google_googleapis_imports//:imports.bzl",
|
||||
"csharp_grpc_library",
|
||||
"csharp_proto_library",
|
||||
)
|
||||
|
||||
csharp_proto_library(
|
||||
name = "definition_csharp_proto",
|
||||
deps = [":definition_proto"],
|
||||
)
|
||||
|
||||
csharp_grpc_library(
|
||||
name = "definition_csharp_grpc",
|
||||
srcs = [":definition_proto"],
|
||||
deps = [":definition_csharp_proto"],
|
||||
)
|
||||
|
||||
##############################################################################
|
||||
# C++
|
||||
##############################################################################
|
||||
# Put your C++ code here
|
||||
@@ -0,0 +1,5 @@
|
||||
type: com.google.api.codegen.ConfigProto
|
||||
config_schema_version: 2.0.0
|
||||
language_settings:
|
||||
python:
|
||||
package_name: google.cloud.aiplatform_v1beta1.schema.trainingjob.definition.gapic
|
||||
@@ -0,0 +1,296 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLForecastingProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Forecasting Model.
|
||||
message AutoMlForecasting {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlForecastingInputs inputs = 1;
|
||||
|
||||
// The metadata information.
|
||||
AutoMlForecastingMetadata metadata = 2;
|
||||
}
|
||||
|
||||
message AutoMlForecastingInputs {
|
||||
message Transformation {
|
||||
// Training pipeline will infer the proper transformation based on the
|
||||
// statistic of dataset.
|
||||
message AutoTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The value converted to float32.
|
||||
// * The z_score of the value.
|
||||
// * log(value+1) when the value is greater than or equal to 0. Otherwise,
|
||||
// this transformation is not applied and the value is considered a
|
||||
// missing value.
|
||||
// * z_score of log(value+1) when the value is greater than or equal to 0.
|
||||
// Otherwise, this transformation is not applied and the value is
|
||||
// considered a missing value.
|
||||
// * A boolean value that indicates whether the value is valid.
|
||||
message NumericTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 2;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The categorical string as is--no change to case, punctuation,
|
||||
// spelling,
|
||||
// tense, and so on.
|
||||
// * Convert the category name to a dictionary lookup index and generate an
|
||||
// embedding for each index.
|
||||
// * Categories that appear less than 5 times in the training dataset are
|
||||
// treated as the "unknown" category. The "unknown" category gets its own
|
||||
// special lookup index and resulting embedding.
|
||||
message CategoricalTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * Apply the transformation functions for Numerical columns.
|
||||
// * Determine the year, month, day,and weekday. Treat each value from the
|
||||
// * timestamp as a Categorical column.
|
||||
// * Invalid numerical values (for example, values that fall outside of a
|
||||
// typical timestamp range, or are extreme values) receive no special
|
||||
// treatment and are not removed.
|
||||
message TimestampTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// The format in which that time field is expressed. The time_format must
|
||||
// either be one of:
|
||||
// * `unix-seconds`
|
||||
// * `unix-milliseconds`
|
||||
// * `unix-microseconds`
|
||||
// * `unix-nanoseconds`
|
||||
// (for respectively number of seconds, milliseconds, microseconds and
|
||||
// nanoseconds since start of the Unix epoch);
|
||||
// or be written in `strftime` syntax. If time_format is not set, then the
|
||||
// default format is RFC 3339 `date-time` format, where
|
||||
// `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
|
||||
string time_format = 2;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 3;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The text as is--no change to case, punctuation, spelling, tense, and
|
||||
// so
|
||||
// on.
|
||||
// * Tokenize text to words. Convert each words to a dictionary lookup
|
||||
// index
|
||||
// and generate an embedding for each index. Combine the embedding of all
|
||||
// elements into a single embedding using the mean.
|
||||
// * Tokenization is based on unicode script boundaries.
|
||||
// * Missing values get their own lookup index and resulting embedding.
|
||||
// * Stop-words receive no special treatment and are not removed.
|
||||
message TextTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Treats the column as numerical array and performs following
|
||||
// transformation functions.
|
||||
// * All transformations for Numerical types applied to the average of the
|
||||
// all elements.
|
||||
// * The average of empty arrays is treated as zero.
|
||||
message NumericArrayTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 2;
|
||||
}
|
||||
|
||||
// Treats the column as categorical array and performs following
|
||||
// transformation functions.
|
||||
// * For each element in the array, convert the category name to a
|
||||
// dictionary
|
||||
// lookup index and generate an embedding for each index.
|
||||
// Combine the embedding of all elements into a single embedding using
|
||||
// the mean.
|
||||
// * Empty arrays treated as an embedding of zeroes.
|
||||
message CategoricalArrayTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Treats the column as text array and performs following transformation
|
||||
// functions.
|
||||
// * Concatenate all text values in the array into a single text value
|
||||
// using
|
||||
// a space (" ") as a delimiter, and then treat the result as a single
|
||||
// text value. Apply the transformations for Text columns.
|
||||
// * Empty arrays treated as an empty text.
|
||||
message TextArrayTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// The transformation that the training pipeline will apply to the input
|
||||
// columns.
|
||||
oneof transformation_detail {
|
||||
AutoTransformation auto = 1;
|
||||
|
||||
NumericTransformation numeric = 2;
|
||||
|
||||
CategoricalTransformation categorical = 3;
|
||||
|
||||
TimestampTransformation timestamp = 4;
|
||||
|
||||
TextTransformation text = 5;
|
||||
|
||||
NumericArrayTransformation repeated_numeric = 6;
|
||||
|
||||
CategoricalArrayTransformation repeated_categorical = 7;
|
||||
|
||||
TextArrayTransformation repeated_text = 8;
|
||||
}
|
||||
}
|
||||
|
||||
// A duration of time expressed in time granularity units.
|
||||
message Period {
|
||||
// The time granularity unit of this time period.
|
||||
// The supported unit are:
|
||||
// "hour"
|
||||
// "day"
|
||||
// "week"
|
||||
// "month"
|
||||
// "year"
|
||||
string unit = 1;
|
||||
|
||||
// The number of units per period, e.g. 3 weeks or 2 months.
|
||||
int64 quantity = 2;
|
||||
}
|
||||
|
||||
// The name of the column that the model is to predict.
|
||||
string target_column = 1;
|
||||
|
||||
// The name of the column that identifies the time series.
|
||||
string time_series_identifier_column = 2;
|
||||
|
||||
// The name of the column that identifies time order in the time series.
|
||||
string time_column = 3;
|
||||
|
||||
// Each transformation will apply transform function to given input column.
|
||||
// And the result will be used for training.
|
||||
// When creating transformation for BigQuery Struct column, the column should
|
||||
// be flattened using "." as the delimiter.
|
||||
repeated Transformation transformations = 4;
|
||||
|
||||
// Objective function the model is optimizing towards. The training process
|
||||
// creates a model that optimizes the value of the objective
|
||||
// function over the validation set.
|
||||
//
|
||||
// The supported optimization objectives:
|
||||
// "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
|
||||
// "minimize-mae" - Minimize mean-absolute error (MAE).
|
||||
// "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
|
||||
// "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
|
||||
// "minimize-wape-mae" - Minimize the combination of weighted absolute
|
||||
// percentage error (WAPE) and mean-absolute-error (MAE).
|
||||
string optimization_objective = 5;
|
||||
|
||||
// Required. The train budget of creating this model, expressed in milli node
|
||||
// hours i.e. 1,000 value in this field means 1 node hour.
|
||||
//
|
||||
// The training cost of the model will not exceed this budget. The final cost
|
||||
// will be attempted to be close to the budget, though may end up being (even)
|
||||
// noticeably smaller - at the backend's discretion. This especially may
|
||||
// happen when further model training ceases to provide any improvements.
|
||||
//
|
||||
// If the budget is set to a value known to be insufficient to train a
|
||||
// model for the given dataset, the training won't be attempted and
|
||||
// will error.
|
||||
//
|
||||
// The train budget must be between 1,000 and 72,000 milli node hours,
|
||||
// inclusive.
|
||||
int64 train_budget_milli_node_hours = 6;
|
||||
|
||||
// Column name that should be used as the weight column.
|
||||
// Higher values in this column give more importance to the row
|
||||
// during model training. The column must have numeric values between 0 and
|
||||
// 10000 inclusively; 0 means the row is ignored for training. If weight
|
||||
// column field is not set, then all rows are assumed to have equal weight
|
||||
// of 1.
|
||||
string weight_column = 7;
|
||||
|
||||
// Column names that should be used as static columns.
|
||||
// The value of these columns are static per time series.
|
||||
repeated string static_columns = 8;
|
||||
|
||||
// Column names that should be used as time variant past only columns.
|
||||
// This column contains information for the given entity (identified by the
|
||||
// time_series_identifier_column) that is known for the past but not the
|
||||
// future (e.g. population of a city in a given year, or weather on a given
|
||||
// day).
|
||||
repeated string time_variant_past_only_columns = 9;
|
||||
|
||||
// Column names that should be used as time variant past and future columns.
|
||||
// This column contains information for the given entity (identified by the
|
||||
// key column) that is known for the past and the future
|
||||
repeated string time_variant_past_and_future_columns = 10;
|
||||
|
||||
// Expected difference in time granularity between rows in the data. If it is
|
||||
// not set, the period is inferred from data.
|
||||
Period period = 11;
|
||||
|
||||
// The number of periods offset into the future as the start of the forecast
|
||||
// window (the window of future values to predict, relative to the present.),
|
||||
// where each period is one unit of granularity as defined by the `period`
|
||||
// field above. Default to 0. Inclusive.
|
||||
int64 forecast_window_start = 12;
|
||||
|
||||
// The number of periods offset into the future as the end of the forecast
|
||||
// window (the window of future values to predict, relative to the present.),
|
||||
// where each period is one unit of granularity as defined by the `period`
|
||||
// field above. Inclusive.
|
||||
int64 forecast_window_end = 13;
|
||||
|
||||
// The number of periods offset into the past to restrict past sequence, where
|
||||
// each period is one unit of granularity as defined by the `period`. Default
|
||||
// value 0 means that it lets algorithm to define the value. Inclusive.
|
||||
int64 past_horizon = 14;
|
||||
|
||||
// Configuration for exporting test set predictions to a BigQuery table. If
|
||||
// this configuration is absent, then the export is not performed.
|
||||
ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
|
||||
}
|
||||
|
||||
// Model metadata specific to AutoML Forecasting.
|
||||
message AutoMlForecastingMetadata {
|
||||
// Output only. The actual training cost of the model, expressed in milli
|
||||
// node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
|
||||
// to not exceed the train budget.
|
||||
int64 train_cost_milli_node_hours = 1;
|
||||
}
|
||||
@@ -0,0 +1,125 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLImageClassificationProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Image Classification Model.
|
||||
message AutoMlImageClassification {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlImageClassificationInputs inputs = 1;
|
||||
|
||||
// The metadata information.
|
||||
AutoMlImageClassificationMetadata metadata = 2;
|
||||
}
|
||||
|
||||
message AutoMlImageClassificationInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A Model best tailored to be used within Google Cloud, and which cannot
|
||||
// be exported.
|
||||
// Default.
|
||||
CLOUD = 1;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
|
||||
// or Core ML model and used on a mobile or edge device afterwards.
|
||||
// Expected to have low latency, but may have lower prediction
|
||||
// quality than other mobile models.
|
||||
MOBILE_TF_LOW_LATENCY_1 = 2;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
|
||||
// or Core ML model and used on a mobile or edge device with afterwards.
|
||||
MOBILE_TF_VERSATILE_1 = 3;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
|
||||
// or Core ML model and used on a mobile or edge device afterwards.
|
||||
// Expected to have a higher latency, but should also have a higher
|
||||
// prediction quality than other mobile models.
|
||||
MOBILE_TF_HIGH_ACCURACY_1 = 4;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
|
||||
// The ID of the `base` model. If it is specified, the new model will be
|
||||
// trained based on the `base` model. Otherwise, the new model will be
|
||||
// trained from scratch. The `base` model must be in the same
|
||||
// Project and Location as the new Model to train, and have the same
|
||||
// modelType.
|
||||
string base_model_id = 2;
|
||||
|
||||
// The training budget of creating this model, expressed in milli node
|
||||
// hours i.e. 1,000 value in this field means 1 node hour. The actual
|
||||
// metadata.costMilliNodeHours will be equal or less than this value.
|
||||
// If further model training ceases to provide any improvements, it will
|
||||
// stop without using the full budget and the metadata.successfulStopReason
|
||||
// will be `model-converged`.
|
||||
// Note, node_hour = actual_hour * number_of_nodes_involved.
|
||||
// For modelType `cloud`(default), the budget must be between 8,000
|
||||
// and 800,000 milli node hours, inclusive. The default value is 192,000
|
||||
// which represents one day in wall time, considering 8 nodes are used.
|
||||
// For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
|
||||
// `mobile-tf-high-accuracy-1`, the training budget must be between
|
||||
// 1,000 and 100,000 milli node hours, inclusive.
|
||||
// The default value is 24,000 which represents one day in wall time on a
|
||||
// single node that is used.
|
||||
int64 budget_milli_node_hours = 3;
|
||||
|
||||
// Use the entire training budget. This disables the early stopping feature.
|
||||
// When false the early stopping feature is enabled, which means that
|
||||
// AutoML Image Classification might stop training before the entire
|
||||
// training budget has been used.
|
||||
bool disable_early_stopping = 4;
|
||||
|
||||
// If false, a single-label (multi-class) Model will be trained (i.e.
|
||||
// assuming that for each image just up to one annotation may be
|
||||
// applicable). If true, a multi-label Model will be trained (i.e.
|
||||
// assuming that for each image multiple annotations may be applicable).
|
||||
bool multi_label = 5;
|
||||
}
|
||||
|
||||
message AutoMlImageClassificationMetadata {
|
||||
enum SuccessfulStopReason {
|
||||
// Should not be set.
|
||||
SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
|
||||
|
||||
// The inputs.budgetMilliNodeHours had been reached.
|
||||
BUDGET_REACHED = 1;
|
||||
|
||||
// Further training of the Model ceased to increase its quality, since it
|
||||
// already has converged.
|
||||
MODEL_CONVERGED = 2;
|
||||
}
|
||||
|
||||
// The actual training cost of creating this model, expressed in
|
||||
// milli node hours, i.e. 1,000 value in this field means 1 node hour.
|
||||
// Guaranteed to not exceed inputs.budgetMilliNodeHours.
|
||||
int64 cost_milli_node_hours = 1;
|
||||
|
||||
// For successful job completions, this is the reason why the job has
|
||||
// finished.
|
||||
SuccessfulStopReason successful_stop_reason = 2;
|
||||
}
|
||||
@@ -0,0 +1,117 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLImageObjectDetectionProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Image Object Detection Model.
|
||||
message AutoMlImageObjectDetection {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlImageObjectDetectionInputs inputs = 1;
|
||||
|
||||
// The metadata information
|
||||
AutoMlImageObjectDetectionMetadata metadata = 2;
|
||||
}
|
||||
|
||||
message AutoMlImageObjectDetectionInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A model best tailored to be used within Google Cloud, and which cannot
|
||||
// be exported. Expected to have a higher latency, but should also have a
|
||||
// higher prediction quality than other cloud models.
|
||||
CLOUD_HIGH_ACCURACY_1 = 1;
|
||||
|
||||
// A model best tailored to be used within Google Cloud, and which cannot
|
||||
// be exported. Expected to have a low latency, but may have lower
|
||||
// prediction quality than other cloud models.
|
||||
CLOUD_LOW_LATENCY_1 = 2;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud can also be exported (see ModelService.ExportModel) and
|
||||
// used on a mobile or edge device with TensorFlow afterwards.
|
||||
// Expected to have low latency, but may have lower prediction
|
||||
// quality than other mobile models.
|
||||
MOBILE_TF_LOW_LATENCY_1 = 3;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud can also be exported (see ModelService.ExportModel) and
|
||||
// used on a mobile or edge device with TensorFlow afterwards.
|
||||
MOBILE_TF_VERSATILE_1 = 4;
|
||||
|
||||
// A model that, in addition to being available within Google
|
||||
// Cloud, can also be exported (see ModelService.ExportModel) and
|
||||
// used on a mobile or edge device with TensorFlow afterwards.
|
||||
// Expected to have a higher latency, but should also have a higher
|
||||
// prediction quality than other mobile models.
|
||||
MOBILE_TF_HIGH_ACCURACY_1 = 5;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
|
||||
// The training budget of creating this model, expressed in milli node
|
||||
// hours i.e. 1,000 value in this field means 1 node hour. The actual
|
||||
// metadata.costMilliNodeHours will be equal or less than this value.
|
||||
// If further model training ceases to provide any improvements, it will
|
||||
// stop without using the full budget and the metadata.successfulStopReason
|
||||
// will be `model-converged`.
|
||||
// Note, node_hour = actual_hour * number_of_nodes_involved.
|
||||
// For modelType `cloud`(default), the budget must be between 20,000
|
||||
// and 900,000 milli node hours, inclusive. The default value is 216,000
|
||||
// which represents one day in wall time, considering 9 nodes are used.
|
||||
// For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
|
||||
// `mobile-tf-high-accuracy-1`
|
||||
// the training budget must be between 1,000 and 100,000 milli node hours,
|
||||
// inclusive. The default value is 24,000 which represents one day in
|
||||
// wall time on a single node that is used.
|
||||
int64 budget_milli_node_hours = 2;
|
||||
|
||||
// Use the entire training budget. This disables the early stopping feature.
|
||||
// When false the early stopping feature is enabled, which means that AutoML
|
||||
// Image Object Detection might stop training before the entire training
|
||||
// budget has been used.
|
||||
bool disable_early_stopping = 3;
|
||||
}
|
||||
|
||||
message AutoMlImageObjectDetectionMetadata {
|
||||
enum SuccessfulStopReason {
|
||||
// Should not be set.
|
||||
SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
|
||||
|
||||
// The inputs.budgetMilliNodeHours had been reached.
|
||||
BUDGET_REACHED = 1;
|
||||
|
||||
// Further training of the Model ceased to increase its quality, since it
|
||||
// already has converged.
|
||||
MODEL_CONVERGED = 2;
|
||||
}
|
||||
|
||||
// The actual training cost of creating this model, expressed in
|
||||
// milli node hours, i.e. 1,000 value in this field means 1 node hour.
|
||||
// Guaranteed to not exceed inputs.budgetMilliNodeHours.
|
||||
int64 cost_milli_node_hours = 1;
|
||||
|
||||
// For successful job completions, this is the reason why the job has
|
||||
// finished.
|
||||
SuccessfulStopReason successful_stop_reason = 2;
|
||||
}
|
||||
@@ -0,0 +1,96 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLImageSegmentationProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Image Segmentation Model.
|
||||
message AutoMlImageSegmentation {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlImageSegmentationInputs inputs = 1;
|
||||
|
||||
// The metadata information.
|
||||
AutoMlImageSegmentationMetadata metadata = 2;
|
||||
}
|
||||
|
||||
message AutoMlImageSegmentationInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A model to be used via prediction calls to uCAIP API. Expected
|
||||
// to have a higher latency, but should also have a higher prediction
|
||||
// quality than other models.
|
||||
CLOUD_HIGH_ACCURACY_1 = 1;
|
||||
|
||||
// A model to be used via prediction calls to uCAIP API. Expected
|
||||
// to have a lower latency but relatively lower prediction quality.
|
||||
CLOUD_LOW_ACCURACY_1 = 2;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
|
||||
// The training budget of creating this model, expressed in milli node
|
||||
// hours i.e. 1,000 value in this field means 1 node hour. The actual
|
||||
// metadata.costMilliNodeHours will be equal or less than this value.
|
||||
// If further model training ceases to provide any improvements, it will
|
||||
// stop without using the full budget and the metadata.successfulStopReason
|
||||
// will be `model-converged`.
|
||||
// Note, node_hour = actual_hour * number_of_nodes_involved. Or
|
||||
// actaul_wall_clock_hours = train_budget_milli_node_hours /
|
||||
// (number_of_nodes_involved * 1000)
|
||||
// For modelType `cloud-high-accuracy-1`(default), the budget must be between
|
||||
// 20,000 and 2,000,000 milli node hours, inclusive. The default value is
|
||||
// 192,000 which represents one day in wall time
|
||||
// (1000 milli * 24 hours * 8 nodes).
|
||||
int64 budget_milli_node_hours = 2;
|
||||
|
||||
// The ID of the `base` model. If it is specified, the new model will be
|
||||
// trained based on the `base` model. Otherwise, the new model will be
|
||||
// trained from scratch. The `base` model must be in the same
|
||||
// Project and Location as the new Model to train, and have the same
|
||||
// modelType.
|
||||
string base_model_id = 3;
|
||||
}
|
||||
|
||||
message AutoMlImageSegmentationMetadata {
|
||||
enum SuccessfulStopReason {
|
||||
// Should not be set.
|
||||
SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
|
||||
|
||||
// The inputs.budgetMilliNodeHours had been reached.
|
||||
BUDGET_REACHED = 1;
|
||||
|
||||
// Further training of the Model ceased to increase its quality, since it
|
||||
// already has converged.
|
||||
MODEL_CONVERGED = 2;
|
||||
}
|
||||
|
||||
// The actual training cost of creating this model, expressed in
|
||||
// milli node hours, i.e. 1,000 value in this field means 1 node hour.
|
||||
// Guaranteed to not exceed inputs.budgetMilliNodeHours.
|
||||
int64 cost_milli_node_hours = 1;
|
||||
|
||||
// For successful job completions, this is the reason why the job has
|
||||
// finished.
|
||||
SuccessfulStopReason successful_stop_reason = 2;
|
||||
}
|
||||
@@ -0,0 +1,278 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto";
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLTablesProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Tables Model.
|
||||
message AutoMlTables {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlTablesInputs inputs = 1;
|
||||
|
||||
// The metadata information.
|
||||
AutoMlTablesMetadata metadata = 2;
|
||||
}
|
||||
|
||||
message AutoMlTablesInputs {
|
||||
message Transformation {
|
||||
// Training pipeline will infer the proper transformation based on the
|
||||
// statistic of dataset.
|
||||
message AutoTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The value converted to float32.
|
||||
// * The z_score of the value.
|
||||
// * log(value+1) when the value is greater than or equal to 0. Otherwise,
|
||||
// this transformation is not applied and the value is considered a
|
||||
// missing value.
|
||||
// * z_score of log(value+1) when the value is greater than or equal to 0.
|
||||
// Otherwise, this transformation is not applied and the value is
|
||||
// considered a missing value.
|
||||
// * A boolean value that indicates whether the value is valid.
|
||||
message NumericTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 2;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The categorical string as is--no change to case, punctuation,
|
||||
// spelling,
|
||||
// tense, and so on.
|
||||
// * Convert the category name to a dictionary lookup index and generate an
|
||||
// embedding for each index.
|
||||
// * Categories that appear less than 5 times in the training dataset are
|
||||
// treated as the "unknown" category. The "unknown" category gets its own
|
||||
// special lookup index and resulting embedding.
|
||||
message CategoricalTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * Apply the transformation functions for Numerical columns.
|
||||
// * Determine the year, month, day,and weekday. Treat each value from the
|
||||
// * timestamp as a Categorical column.
|
||||
// * Invalid numerical values (for example, values that fall outside of a
|
||||
// typical timestamp range, or are extreme values) receive no special
|
||||
// treatment and are not removed.
|
||||
message TimestampTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// The format in which that time field is expressed. The time_format must
|
||||
// either be one of:
|
||||
// * `unix-seconds`
|
||||
// * `unix-milliseconds`
|
||||
// * `unix-microseconds`
|
||||
// * `unix-nanoseconds`
|
||||
// (for respectively number of seconds, milliseconds, microseconds and
|
||||
// nanoseconds since start of the Unix epoch);
|
||||
// or be written in `strftime` syntax. If time_format is not set, then the
|
||||
// default format is RFC 3339 `date-time` format, where
|
||||
// `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
|
||||
string time_format = 2;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 3;
|
||||
}
|
||||
|
||||
// Training pipeline will perform following transformation functions.
|
||||
// * The text as is--no change to case, punctuation, spelling, tense, and
|
||||
// so
|
||||
// on.
|
||||
// * Tokenize text to words. Convert each words to a dictionary lookup
|
||||
// index
|
||||
// and generate an embedding for each index. Combine the embedding of all
|
||||
// elements into a single embedding using the mean.
|
||||
// * Tokenization is based on unicode script boundaries.
|
||||
// * Missing values get their own lookup index and resulting embedding.
|
||||
// * Stop-words receive no special treatment and are not removed.
|
||||
message TextTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Treats the column as numerical array and performs following
|
||||
// transformation functions.
|
||||
// * All transformations for Numerical types applied to the average of the
|
||||
// all elements.
|
||||
// * The average of empty arrays is treated as zero.
|
||||
message NumericArrayTransformation {
|
||||
string column_name = 1;
|
||||
|
||||
// If invalid values is allowed, the training pipeline will create a
|
||||
// boolean feature that indicated whether the value is valid.
|
||||
// Otherwise, the training pipeline will discard the input row from
|
||||
// trainining data.
|
||||
bool invalid_values_allowed = 2;
|
||||
}
|
||||
|
||||
// Treats the column as categorical array and performs following
|
||||
// transformation functions.
|
||||
// * For each element in the array, convert the category name to a
|
||||
// dictionary
|
||||
// lookup index and generate an embedding for each index.
|
||||
// Combine the embedding of all elements into a single embedding using
|
||||
// the mean.
|
||||
// * Empty arrays treated as an embedding of zeroes.
|
||||
message CategoricalArrayTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// Treats the column as text array and performs following transformation
|
||||
// functions.
|
||||
// * Concatenate all text values in the array into a single text value
|
||||
// using
|
||||
// a space (" ") as a delimiter, and then treat the result as a single
|
||||
// text value. Apply the transformations for Text columns.
|
||||
// * Empty arrays treated as an empty text.
|
||||
message TextArrayTransformation {
|
||||
string column_name = 1;
|
||||
}
|
||||
|
||||
// The transformation that the training pipeline will apply to the input
|
||||
// columns.
|
||||
oneof transformation_detail {
|
||||
AutoTransformation auto = 1;
|
||||
|
||||
NumericTransformation numeric = 2;
|
||||
|
||||
CategoricalTransformation categorical = 3;
|
||||
|
||||
TimestampTransformation timestamp = 4;
|
||||
|
||||
TextTransformation text = 5;
|
||||
|
||||
NumericArrayTransformation repeated_numeric = 6;
|
||||
|
||||
CategoricalArrayTransformation repeated_categorical = 7;
|
||||
|
||||
TextArrayTransformation repeated_text = 8;
|
||||
}
|
||||
}
|
||||
|
||||
// Additional optimization objective configuration. Required for
|
||||
// `maximize-precision-at-recall` and `maximize-recall-at-precision`,
|
||||
// otherwise unused.
|
||||
oneof additional_optimization_objective_config {
|
||||
// Required when optimization_objective is "maximize-precision-at-recall".
|
||||
// Must be between 0 and 1, inclusive.
|
||||
float optimization_objective_recall_value = 5;
|
||||
|
||||
// Required when optimization_objective is "maximize-recall-at-precision".
|
||||
// Must be between 0 and 1, inclusive.
|
||||
float optimization_objective_precision_value = 6;
|
||||
}
|
||||
|
||||
// The type of prediction the Model is to produce.
|
||||
// "classification" - Predict one out of multiple target values is
|
||||
// picked for each row.
|
||||
// "regression" - Predict a value based on its relation to other values.
|
||||
// This type is available only to columns that contain
|
||||
// semantically numeric values, i.e. integers or floating
|
||||
// point number, even if stored as e.g. strings.
|
||||
string prediction_type = 1;
|
||||
|
||||
// The column name of the target column that the model is to predict.
|
||||
string target_column = 2;
|
||||
|
||||
// Each transformation will apply transform function to given input column.
|
||||
// And the result will be used for training.
|
||||
// When creating transformation for BigQuery Struct column, the column should
|
||||
// be flattened using "." as the delimiter.
|
||||
repeated Transformation transformations = 3;
|
||||
|
||||
// Objective function the model is optimizing towards. The training process
|
||||
// creates a model that maximizes/minimizes the value of the objective
|
||||
// function over the validation set.
|
||||
//
|
||||
// The supported optimization objectives depend on the prediction type.
|
||||
// If the field is not set, a default objective function is used.
|
||||
//
|
||||
// classification (binary):
|
||||
// "maximize-au-roc" (default) - Maximize the area under the receiver
|
||||
// operating characteristic (ROC) curve.
|
||||
// "minimize-log-loss" - Minimize log loss.
|
||||
// "maximize-au-prc" - Maximize the area under the precision-recall curve.
|
||||
// "maximize-precision-at-recall" - Maximize precision for a specified
|
||||
// recall value.
|
||||
// "maximize-recall-at-precision" - Maximize recall for a specified
|
||||
// precision value.
|
||||
//
|
||||
// classification (multi-class):
|
||||
// "minimize-log-loss" (default) - Minimize log loss.
|
||||
//
|
||||
// regression:
|
||||
// "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
|
||||
// "minimize-mae" - Minimize mean-absolute error (MAE).
|
||||
// "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
|
||||
string optimization_objective = 4;
|
||||
|
||||
// Required. The train budget of creating this model, expressed in milli node
|
||||
// hours i.e. 1,000 value in this field means 1 node hour.
|
||||
//
|
||||
// The training cost of the model will not exceed this budget. The final cost
|
||||
// will be attempted to be close to the budget, though may end up being (even)
|
||||
// noticeably smaller - at the backend's discretion. This especially may
|
||||
// happen when further model training ceases to provide any improvements.
|
||||
//
|
||||
// If the budget is set to a value known to be insufficient to train a
|
||||
// model for the given dataset, the training won't be attempted and
|
||||
// will error.
|
||||
//
|
||||
// The train budget must be between 1,000 and 72,000 milli node hours,
|
||||
// inclusive.
|
||||
int64 train_budget_milli_node_hours = 7;
|
||||
|
||||
// Use the entire training budget. This disables the early stopping feature.
|
||||
// By default, the early stopping feature is enabled, which means that AutoML
|
||||
// Tables might stop training before the entire training budget has been used.
|
||||
bool disable_early_stopping = 8;
|
||||
|
||||
// Column name that should be used as the weight column.
|
||||
// Higher values in this column give more importance to the row
|
||||
// during model training. The column must have numeric values between 0 and
|
||||
// 10000 inclusively; 0 means the row is ignored for training. If weight
|
||||
// column field is not set, then all rows are assumed to have equal weight
|
||||
// of 1.
|
||||
string weight_column_name = 9;
|
||||
|
||||
// Configuration for exporting test set predictions to a BigQuery table. If
|
||||
// this configuration is absent, then the export is not performed.
|
||||
ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
|
||||
}
|
||||
|
||||
// Model metadata specific to AutoML Tables.
|
||||
message AutoMlTablesMetadata {
|
||||
// Output only. The actual training cost of the model, expressed in milli
|
||||
// node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
|
||||
// to not exceed the train budget.
|
||||
int64 train_cost_milli_node_hours = 1;
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLTextClassificationProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Text Classification Model.
|
||||
message AutoMlTextClassification {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlTextClassificationInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlTextClassificationInputs {
|
||||
bool multi_label = 1;
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLTextExtractionProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Text Extraction Model.
|
||||
message AutoMlTextExtraction {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlTextExtractionInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlTextExtractionInputs {
|
||||
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLTextSentimentProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
|
||||
message AutoMlTextSentiment {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlTextSentimentInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlTextSentimentInputs {
|
||||
// A sentiment is expressed as an integer ordinal, where higher value
|
||||
// means a more positive sentiment. The range of sentiments that will be used
|
||||
// is between 0 and sentimentMax (inclusive on both ends), and all the values
|
||||
// in the range must be represented in the dataset before a model can be
|
||||
// created.
|
||||
// Only the Annotations with this sentimentMax will be used for training.
|
||||
// sentimentMax value must be between 1 and 10 (inclusive).
|
||||
int32 sentiment_max = 1;
|
||||
}
|
||||
@@ -0,0 +1,49 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLVideoActionRecognitionProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Video Action Recognition
|
||||
// Model.
|
||||
message AutoMlVideoActionRecognition {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlVideoActionRecognitionInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlVideoActionRecognitionInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A model best tailored to be used within Google Cloud, and which c annot
|
||||
// be exported. Default.
|
||||
CLOUD = 1;
|
||||
|
||||
// A model that, in addition to being available within Google Cloud, can
|
||||
// also be exported (see ModelService.ExportModel) as a TensorFlow or
|
||||
// TensorFlow Lite model and used on a mobile or edge device afterwards.
|
||||
MOBILE_VERSATILE_1 = 2;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLVideoClassificationProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Video Classification Model.
|
||||
message AutoMlVideoClassification {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlVideoClassificationInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlVideoClassificationInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A model best tailored to be used within Google Cloud, and which cannot
|
||||
// be exported. Default.
|
||||
CLOUD = 1;
|
||||
|
||||
// A model that, in addition to being available within Google Cloud, can
|
||||
// also be exported (see ModelService.ExportModel) as a TensorFlow or
|
||||
// TensorFlow Lite model and used on a mobile or edge device afterwards.
|
||||
MOBILE_VERSATILE_1 = 2;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
}
|
||||
@@ -0,0 +1,64 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "AutoMLVideoObjectTrackingProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.
|
||||
message AutoMlVideoObjectTracking {
|
||||
// The input parameters of this TrainingJob.
|
||||
AutoMlVideoObjectTrackingInputs inputs = 1;
|
||||
}
|
||||
|
||||
message AutoMlVideoObjectTrackingInputs {
|
||||
enum ModelType {
|
||||
// Should not be set.
|
||||
MODEL_TYPE_UNSPECIFIED = 0;
|
||||
|
||||
// A model best tailored to be used within Google Cloud, and which c annot
|
||||
// be exported. Default.
|
||||
CLOUD = 1;
|
||||
|
||||
// A model that, in addition to being available within Google Cloud, can
|
||||
// also be exported (see ModelService.ExportModel) as a TensorFlow or
|
||||
// TensorFlow Lite model and used on a mobile or edge device afterwards.
|
||||
MOBILE_VERSATILE_1 = 2;
|
||||
|
||||
// A versatile model that is meant to be exported (see
|
||||
// ModelService.ExportModel) and used on a Google Coral device.
|
||||
MOBILE_CORAL_VERSATILE_1 = 3;
|
||||
|
||||
// A model that trades off quality for low latency, to be exported (see
|
||||
// ModelService.ExportModel) and used on a Google Coral device.
|
||||
MOBILE_CORAL_LOW_LATENCY_1 = 4;
|
||||
|
||||
// A versatile model that is meant to be exported (see
|
||||
// ModelService.ExportModel) and used on an NVIDIA Jetson device.
|
||||
MOBILE_JETSON_VERSATILE_1 = 5;
|
||||
|
||||
// A model that trades off quality for low latency, to be exported (see
|
||||
// ModelService.ExportModel) and used on an NVIDIA Jetson device.
|
||||
MOBILE_JETSON_LOW_LATENCY_1 = 6;
|
||||
}
|
||||
|
||||
ModelType model_type = 1;
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
// Copyright 2020 Google LLC
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
syntax = "proto3";
|
||||
|
||||
package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
|
||||
|
||||
import "google/api/annotations.proto";
|
||||
|
||||
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
|
||||
option java_multiple_files = true;
|
||||
option java_outer_classname = "ExportEvaluatedDataItemsConfigProto";
|
||||
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
|
||||
|
||||
// Configuration for exporting test set predictions to a BigQuery table.
|
||||
message ExportEvaluatedDataItemsConfig {
|
||||
// URI of desired destination BigQuery table. If not specified, then results
|
||||
// are exported to the following auto-created BigQuery table:
|
||||
//
|
||||
// <project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
|
||||
string destination_bigquery_uri = 1;
|
||||
|
||||
// If true and an export destination is specified, then the contents of the
|
||||
// destination will be overwritten. Otherwise, if the export destination
|
||||
// already exists, then the export operation will not trigger and a failure
|
||||
// response is returned.
|
||||
bool override_existing_table = 2;
|
||||
}
|
||||
Reference in New Issue
Block a user