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Synchronize new proto/yaml changes. 

PiperOrigin-RevId: 241403898
This commit is contained in:
Google APIs 2019-04-01 14:46:43 -07:00 committed by Copybara-Service
parent 62baea94d3
commit 1e20c384c2
18 changed files with 0 additions and 1944 deletions
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1
google/cloud/automl/BUILD.bazel
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exports_files(glob(["*.yaml"]))

34
google/cloud/automl/artman_automl_v1beta1.yaml
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common:
api_name: automl
api_version: v1beta1
organization_name: google-cloud
proto_deps:
- name: google-common-protos
src_proto_paths:
- v1beta1
service_yaml: automl_v1beta1.yaml
gapic_yaml: v1beta1/automl_gapic.yaml
artifacts:
- name: gapic_config
type: GAPIC_CONFIG
- name: java_gapic
type: GAPIC
language: JAVA
- name: python_gapic
type: GAPIC
language: PYTHON
- name: nodejs_gapic
type: GAPIC
language: NODEJS
- name: php_gapic
type: GAPIC
language: PHP
- name: go_gapic
type: GAPIC
language: GO
- name: ruby_gapic
type: GAPIC
language: RUBY
- name: csharp_gapic
type: GAPIC
language: CSHARP

37
google/cloud/automl/automl_v1beta1.yaml
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type: google.api.Service
config_version: 3
name: automl.googleapis.com
title: Cloud AutoML API
apis:
- name: google.cloud.automl.v1beta1.AutoMl
- name: google.cloud.automl.v1beta1.PredictionService
types:
- name: google.cloud.automl.v1beta1.OperationMetadata
documentation:
summary: The AutoML project API.
http:
rules:
- selector: google.longrunning.Operations.ListOperations
get: '/v1beta1/{name=projects/*/locations/*}/operations'
- selector: google.longrunning.Operations.GetOperation
get: '/v1beta1/{name=projects/*/locations/*/operations/*}'
- selector: google.longrunning.Operations.DeleteOperation
delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'
- selector: google.longrunning.Operations.CancelOperation
post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel'
body: '*'
authentication:
rules:
- selector: '*'
oauth:
canonical_scopes: |-
https://www.googleapis.com/auth/cloud-platform

162
google/cloud/automl/v1beta1/BUILD.bazel
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# This is an API workspace, having public visibility by default makes perfect sense.
package(default_visibility = ["//visibility:public"])
##############################################################################
# Common
##############################################################################
load("@com_google_api_codegen//rules_gapic:gapic.bzl", "proto_library_with_info")
proto_library(
name = "automl_proto",
srcs = [
"annotation_payload.proto",
"classification.proto",
"data_items.proto",
"dataset.proto",
"image.proto",
"io.proto",
"model.proto",
"model_evaluation.proto",
"operations.proto",
"prediction_service.proto",
"service.proto",
"text.proto",
"translation.proto",
],
deps = [
"//google/api:annotations_proto",
"//google/longrunning:operations_proto",
"//google/rpc:status_proto",
"@com_google_protobuf//:empty_proto",
"@com_google_protobuf//:field_mask_proto",
"@com_google_protobuf//:timestamp_proto",
],
)
proto_library_with_info(
name = "automl_proto_with_info",
deps = [":automl_proto"],
)
##############################################################################
# Java
##############################################################################
load("@io_grpc_grpc_java//:java_grpc_library.bzl", "java_grpc_library")
load(
"@com_google_api_codegen//rules_gapic/java:java_gapic.bzl",
"java_gapic_library",
"java_resource_name_proto_library",
)
load("@com_google_api_codegen//rules_gapic/java:java_gapic_pkg.bzl", "java_gapic_assembly_gradle_pkg")
_JAVA_GRPC_DEPS = [
"@com_google_api_grpc_proto_google_common_protos//jar",
]
java_proto_library(
name = "automl_java_proto",
deps = [":automl_proto"],
)
java_grpc_library(
name = "automl_java_grpc",
srcs = [":automl_proto"],
deps = [":automl_java_proto"] + _JAVA_GRPC_DEPS,
)
java_resource_name_proto_library(
name = "automl_resource_name_java_proto",
gapic_yaml = "automl_gapic.yaml",
deps = [":automl_proto"],
)
java_gapic_library(
name = "automl_java_gapic",
src = ":automl_proto_with_info",
gapic_yaml = "automl_gapic.yaml",
service_yaml = "//google/cloud/automl:automl_v1beta1.yaml",
test_deps = [":automl_java_grpc"],
deps = [
":automl_java_proto",
":automl_resource_name_java_proto",
] + _JAVA_GRPC_DEPS,
)
[java_test(
name = test_name,
test_class = test_name,
runtime_deps = [
":automl_java_gapic_test",
],
) for test_name in [
"com.google.cloud.automl.v1beta1.AutoMlClientTest",
"com.google.cloud.automl.v1beta1.PredictionServiceClientTest",
]]
# Opensource Packages
java_gapic_assembly_gradle_pkg(
name = "google-cloud-automl-v1beta1-java",
client_deps = [":automl_java_gapic"],
client_group = "com.google.cloud",
client_test_deps = [":automl_java_gapic_test"],
grpc_deps = [":automl_java_grpc"],
grpc_group = "com.google.api.grpc",
proto_deps = [
":automl_java_proto",
":automl_proto",
":automl_resource_name_java_proto",
] + _JAVA_GRPC_DEPS,
version = "0.0.0-SNAPSHOT",
)
##############################################################################
# Go
##############################################################################
load("@io_bazel_rules_go//proto:def.bzl", "go_proto_library")
load("@com_google_api_codegen//rules_gapic/go:go_gapic.bzl", "go_gapic_srcjar", "go_gapic_library")
load("@io_bazel_rules_go//go:def.bzl", "go_library", "go_test")
load("@com_google_api_codegen//rules_gapic/go:go_gapic_pkg.bzl", "go_gapic_assembly_pkg")
go_proto_library(
name = "automl_go_proto",
compilers = ["@io_bazel_rules_go//proto:go_grpc"],
importpath = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1",
protos = [":automl_proto_with_info"],
deps = [
"//google/api:annotations_go_proto",
"//google/longrunning:longrunning_go_proto",
"//google/rpc:status_go_proto",
],
)
go_gapic_library(
name = "automl_go_gapic",
src = ":automl_proto_with_info",
gapic_yaml = "automl_gapic.yaml",
importpath = "cloud.google.com/go/cloud/automl/apiv1beta1",
service_yaml = "//google/cloud/automl:automl_v1beta1.yaml",
deps = [
":automl_go_proto",
"//google/longrunning:longrunning_go_gapic",
"//google/longrunning:longrunning_go_proto",
"@com_google_cloud_go//longrunning:go_default_library",
],
)
go_test(
name = "automl_go_gapic_test",
srcs = [":automl_go_gapic_srcjar_test"],
embed = [":automl_go_gapic"],
importpath = "cloud.google.com/go/cloud/automl/apiv1beta1",
)
# Opensource Packages
go_gapic_assembly_pkg(
name = "gapi-cloud-automl-v1beta1-go",
deps = [
":automl_go_gapic",
":automl_go_gapic_srcjar-smoke-test.srcjar",
":automl_go_gapic_srcjar-test.srcjar",
":automl_go_proto",
],
)

52
google/cloud/automl/v1beta1/annotation_payload.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/classification.proto";
import "google/cloud/automl/v1beta1/translation.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Contains annotation information that is relevant to AutoML.
message AnnotationPayload {
// Output only . Additional information about the annotation
// specific to the AutoML solution.
oneof detail {
// Annotation details for translation.
TranslationAnnotation translation = 2;
// Annotation details for content or image classification.
ClassificationAnnotation classification = 3;
}
// Output only . The resource ID of the annotation spec that
// this annotation pertains to. The annotation spec comes from either an
// ancestor dataset, or the dataset that was used to train the model in use.
string annotation_spec_id = 1;
// Output only. The value of
// [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name]
// when the model was trained. Because this field returns a value at model
// training time, for different models trained using the same dataset, the
// returned value could be different as model owner could update the
// display_name between any two model training.
string display_name = 5;
}

511
google/cloud/automl/v1beta1/automl_gapic.yaml
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type: com.google.api.codegen.ConfigProto
config_schema_version: 1.0.0
# The settings of generated code in a specific language.
language_settings:
java:
package_name: com.google.cloud.automl.v1beta1
python:
package_name: google.cloud.automl_v1beta1.gapic
go:
package_name: cloud.google.com/go/cloud/automl/apiv1beta1
csharp:
package_name: Google.Cloud.Automl.V1Beta1
ruby:
package_name: Google::Cloud::Automl::V1Beta1
php:
package_name: Google\Cloud\AutoMl\V1beta1
nodejs:
package_name: automl.v1beta1
domain_layer_location: google-cloud
# A list of API interface configurations.
interfaces:
# The fully qualified name of the API interface.
- name: google.cloud.automl.v1beta1.PredictionService
# A list of resource collection configurations.
# Consists of a name_pattern and an entity_name.
# The name_pattern is a pattern to describe the names of the resources of this
# collection, using the platform's conventions for URI patterns. A generator
# may use this to generate methods to compose and decompose such names. The
# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
# those will be taken as hints for the parameter names of the generated
# methods. If empty, no name methods are generated.
# The entity_name is the name to be used as a basis for generated methods and
# classes.
collections:
- name_pattern: projects/{project}/locations/{location}/models/{model}
entity_name: model
# Definition for retryable codes.
retry_codes_def:
- name: idempotent
retry_codes:
- UNAVAILABLE
- DEADLINE_EXCEEDED
- name: non_idempotent
retry_codes: []
# Definition for retry/backoff parameters.
retry_params_def:
- name: default
initial_retry_delay_millis: 100
retry_delay_multiplier: 1.3
max_retry_delay_millis: 60000
initial_rpc_timeout_millis: 60000
rpc_timeout_multiplier: 1
max_rpc_timeout_millis: 60000
total_timeout_millis: 600000
# A list of method configurations.
# Common properties:
#
# name - The simple name of the method.
#
# flattening - Specifies the configuration for parameter flattening.
# Describes the parameter groups for which a generator should produce method
# overloads which allow a client to directly pass request message fields as
# method parameters. This information may or may not be used, depending on
# the target language.
# Consists of groups, which each represent a list of parameters to be
# flattened. Each parameter listed must be a field of the request message.
#
# required_fields - Fields that are always required for a request to be
# valid.
#
# resource_name_treatment - An enum that specifies how to treat the resource
# name formats defined in the field_name_patterns and
# response_field_name_patterns fields.
# UNSET: default value
# NONE: the collection configs will not be used by the generated code.
# VALIDATE: string fields will be validated by the client against the
# specified resource name formats.
# STATIC_TYPES: the client will use generated types for resource names.
#
# page_streaming - Specifies the configuration for paging.
# Describes information for generating a method which transforms a paging
# list RPC into a stream of resources.
# Consists of a request and a response.
# The request specifies request information of the list method. It defines
# which fields match the paging pattern in the request. The request consists
# of a page_size_field and a token_field. The page_size_field is the name of
# the optional field specifying the maximum number of elements to be
# returned in the response. The token_field is the name of the field in the
# request containing the page token.
# The response specifies response information of the list method. It defines
# which fields match the paging pattern in the response. The response
# consists of a token_field and a resources_field. The token_field is the
# name of the field in the response containing the next page token. The
# resources_field is the name of the field in the response containing the
# list of resources belonging to the page.
#
# retry_codes_name - Specifies the configuration for retryable codes. The
# name must be defined in interfaces.retry_codes_def.
#
# retry_params_name - Specifies the configuration for retry/backoff
# parameters. The name must be defined in interfaces.retry_params_def.
#
# field_name_patterns - Maps the field name of the request type to
# entity_name of interfaces.collections.
# Specifies the string pattern that the field must follow.
#
# timeout_millis - Specifies the default timeout for a non-retrying call. If
# the call is retrying, refer to retry_params_name instead.
methods:
- name: Predict
flattening:
groups:
- parameters:
- name
- payload
- params
required_fields:
- name
- payload
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 60000
# The fully qualified name of the API interface.
- name: google.cloud.automl.v1beta1.AutoMl
# A list of resource collection configurations.
# Consists of a name_pattern and an entity_name.
# The name_pattern is a pattern to describe the names of the resources of this
# collection, using the platform's conventions for URI patterns. A generator
# may use this to generate methods to compose and decompose such names. The
# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
# those will be taken as hints for the parameter names of the generated
# methods. If empty, no name methods are generated.
# The entity_name is the name to be used as a basis for generated methods and
# classes.
collections:
- name_pattern: projects/{project}/locations/{location}
entity_name: location
- name_pattern: projects/{project}/locations/{location}/datasets/{dataset}
entity_name: dataset
- name_pattern: projects/{project}/locations/{location}/models/{model}
entity_name: model
- name_pattern: projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}
entity_name: model_evaluation
# Definition for retryable codes.
retry_codes_def:
- name: idempotent
retry_codes:
- UNAVAILABLE
- DEADLINE_EXCEEDED
- name: non_idempotent
retry_codes: []
# Definition for retry/backoff parameters.
retry_params_def:
- name: default
initial_retry_delay_millis: 100
retry_delay_multiplier: 1.3
max_retry_delay_millis: 60000
initial_rpc_timeout_millis: 20000
rpc_timeout_multiplier: 1
max_rpc_timeout_millis: 20000
total_timeout_millis: 600000
# A list of method configurations.
# Common properties:
#
# name - The simple name of the method.
#
# flattening - Specifies the configuration for parameter flattening.
# Describes the parameter groups for which a generator should produce method
# overloads which allow a client to directly pass request message fields as
# method parameters. This information may or may not be used, depending on
# the target language.
# Consists of groups, which each represent a list of parameters to be
# flattened. Each parameter listed must be a field of the request message.
#
# required_fields - Fields that are always required for a request to be
# valid.
#
# resource_name_treatment - An enum that specifies how to treat the resource
# name formats defined in the field_name_patterns and
# response_field_name_patterns fields.
# UNSET: default value
# NONE: the collection configs will not be used by the generated code.
# VALIDATE: string fields will be validated by the client against the
# specified resource name formats.
# STATIC_TYPES: the client will use generated types for resource names.
#
# page_streaming - Specifies the configuration for paging.
# Describes information for generating a method which transforms a paging
# list RPC into a stream of resources.
# Consists of a request and a response.
# The request specifies request information of the list method. It defines
# which fields match the paging pattern in the request. The request consists
# of a page_size_field and a token_field. The page_size_field is the name of
# the optional field specifying the maximum number of elements to be
# returned in the response. The token_field is the name of the field in the
# request containing the page token.
# The response specifies response information of the list method. It defines
# which fields match the paging pattern in the response. The response
# consists of a token_field and a resources_field. The token_field is the
# name of the field in the response containing the next page token. The
# resources_field is the name of the field in the response containing the
# list of resources belonging to the page.
#
# retry_codes_name - Specifies the configuration for retryable codes. The
# name must be defined in interfaces.retry_codes_def.
#
# retry_params_name - Specifies the configuration for retry/backoff
# parameters. The name must be defined in interfaces.retry_params_def.
#
# field_name_patterns - Maps the field name of the request type to
# entity_name of interfaces.collections.
# Specifies the string pattern that the field must follow.
#
# timeout_millis - Specifies the default timeout for a non-retrying call. If
# the call is retrying, refer to retry_params_name instead.
methods:
- name: CreateDataset
flattening:
groups:
- parameters:
- parent
- dataset
required_fields:
- parent
- dataset
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
parent: location
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: GetDataset
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: dataset
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: ListDatasets
flattening:
groups:
- parameters:
- parent
required_fields:
- parent
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: datasets
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
parent: location
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: DeleteDataset
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: dataset
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.automl.v1beta1.OperationMetadata
initial_poll_delay_millis: 500
poll_delay_multiplier: 1.5
max_poll_delay_millis: 5000
total_poll_timeout_millis: 300000
- name: ImportData
flattening:
groups:
- parameters:
- name
- input_config
required_fields:
- name
- input_config
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: dataset
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.automl.v1beta1.OperationMetadata
initial_poll_delay_millis: 500
poll_delay_multiplier: 1.5
max_poll_delay_millis: 5000
total_poll_timeout_millis: 300000
- name: ExportData
flattening:
groups:
- parameters:
- name
- output_config
required_fields:
- name
- output_config
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: dataset
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.automl.v1beta1.OperationMetadata
initial_poll_delay_millis: 500
poll_delay_multiplier: 1.5
max_poll_delay_millis: 5000
total_poll_timeout_millis: 300000
- name: CreateModel
flattening:
groups:
- parameters:
- parent
- model
required_fields:
- parent
- model
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
parent: location
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
long_running:
return_type: google.cloud.automl.v1beta1.Model
metadata_type: google.cloud.automl.v1beta1.OperationMetadata
initial_poll_delay_millis: 500
poll_delay_multiplier: 1.5
max_poll_delay_millis: 5000
total_poll_timeout_millis: 300000
- name: GetModel
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: ListModels
flattening:
groups:
- parameters:
- parent
required_fields:
- parent
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: model
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
parent: location
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: DeleteModel
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
long_running:
return_type: google.protobuf.Empty
metadata_type: google.cloud.automl.v1beta1.OperationMetadata
initial_poll_delay_millis: 500
poll_delay_multiplier: 1.5
max_poll_delay_millis: 5000
total_poll_timeout_millis: 300000
- name: DeployModel
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: UndeployModel
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
name: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: GetModelEvaluation
flattening:
groups:
- parameters:
- name
required_fields:
- name
retry_codes_name: idempotent
retry_params_name: default
field_name_patterns:
name: model_evaluation
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
- name: ListModelEvaluations
flattening:
groups:
- parameters:
- parent
required_fields:
- parent
page_streaming:
request:
page_size_field: page_size
token_field: page_token
response:
token_field: next_page_token
resources_field: model_evaluation
retry_codes_name: non_idempotent
retry_params_name: default
field_name_patterns:
parent: model
resource_name_treatment: STATIC_TYPES
timeout_millis: 5000
resource_name_generation:
- message_name: CreateDatasetRequest
field_entity_map:
parent: location
- message_name: GetDatasetRequest
field_entity_map:
name: dataset
- message_name: ListDatasetsRequest
field_entity_map:
parent: location
- message_name: DeleteDatasetRequest
field_entity_map:
name: dataset
- message_name: ImportDataRequest
field_entity_map:
name: dataset
- message_name: ExportDataRequest
field_entity_map:
name: dataset
- message_name: CreateModelRequest
field_entity_map:
parent: location
- message_name: GetModelRequest
field_entity_map:
name: model
- message_name: ListModelsRequest
field_entity_map:
parent: location
- message_name: DeleteModelRequest
field_entity_map:
name: model
- message_name: DeployModelRequest
field_entity_map:
name: model
- message_name: UndeployModelRequest
field_entity_map:
name: model
- message_name: GetModelEvaluationRequest
field_entity_map:
name: model_evaluation
- message_name: ListModelEvaluationsRequest
field_entity_map:
parent: model
- message_name: PredictRequest
field_entity_map:
name: model

121
google/cloud/automl/v1beta1/classification.proto
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@ -1,121 +0,0 @@
// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_outer_classname = "ClassificationProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Contains annotation details specific to classification.
message ClassificationAnnotation {
// Output only. A confidence estimate between 0.0 and 1.0. A higher value
// means greater confidence that the annotation is positive. If a user
// approves an annotation as negative or positive, the score value remains
// unchanged. If a user creates an annotation, the score is 0 for negative or
// 1 for positive.
float score = 1;
}
// Model evaluation metrics for classification problems.
// Visible only to v1beta1
message ClassificationEvaluationMetrics {
// Metrics for a single confidence threshold.
message ConfidenceMetricsEntry {
// Output only. The confidence threshold value used to compute the metrics.
float confidence_threshold = 1;
// Output only. Recall under the given confidence threshold.
float recall = 2;
// Output only. Precision under the given confidence threshold.
float precision = 3;
// Output only. The harmonic mean of recall and precision.
float f1_score = 4;
// Output only. The recall when only considering the label that has the
// highest prediction score and not below the confidence threshold for each
// example.
float recall_at1 = 5;
// Output only. The precision when only considering the label that has the
// highest predictionscore and not below the confidence threshold for each
// example.
float precision_at1 = 6;
// Output only. The harmonic mean of
// [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1]
// and
// [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
float f1_score_at1 = 7;
}
// Confusion matrix of the model running the classification.
message ConfusionMatrix {
// Output only. A row in the confusion matrix.
message Row {
// Output only. Value of the specific cell in the confusion matrix.
// The number of values each row is equal to the size of
// annotatin_spec_id.
repeated int32 example_count = 1;
}
// Output only. IDs of the annotation specs used in the confusion matrix.
repeated string annotation_spec_id = 1;
// Output only. Rows in the confusion matrix. The number of rows is equal to
// the size of `annotation_spec_id`.
// `row[i].value[j]` is the number of examples that have ground truth of the
// `annotation_spec_id[i]` and are predicted as `annotation_spec_id[j]` by
// the model being evaluated.
repeated Row row = 2;
}
// Output only. The Area under precision recall curve metric.
float au_prc = 1;
// Output only. The Area under precision recall curve metric based on priors.
float base_au_prc = 2;
// Output only. Metrics that have confidence thresholds.
// Precision-recall curve can be derived from it.
repeated ConfidenceMetricsEntry confidence_metrics_entry = 3;
// Output only. Confusion matrix of the evaluation.
// Only set for MULTICLASS classification problems where number
// of labels is no more than 10.
// Only set for model level evaluation, not for evaluation per label.
ConfusionMatrix confusion_matrix = 4;
// Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;
}
// Type of the classification problem.
enum ClassificationType {
// Should not be used, an un-set enum has this value by default.
CLASSIFICATION_TYPE_UNSPECIFIED = 0;
// At most one label is allowed per example.
MULTICLASS = 1;
// Multiple labels are allowed for one example.
MULTILABEL = 2;
}

73
google/cloud/automl/v1beta1/data_items.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/io.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// A representation of an image.
message Image {
// Input only. The data representing the image.
// For Predict calls [image_bytes][] must be set, as other options are not
// currently supported by prediction API. You can read the contents of an
// uploaded image by using the [content_uri][] field.
oneof data {
// Image content represented as a stream of bytes.
// Note: As with all `bytes` fields, protobuffers use a pure binary
// representation, whereas JSON representations use base64.
bytes image_bytes = 1;
// An input config specifying the content of the image.
InputConfig input_config = 6;
}
// Output only. HTTP URI to the thumbnail image.
string thumbnail_uri = 4;
}
// A representation of a text snippet.
message TextSnippet {
// Required. The content of the text snippet as a string. Up to 250000
// characters long.
string content = 1;
// The format of the source text. For example, "text/html" or
// "text/plain". If left blank the format is automatically determined from
// the type of the uploaded content. The default is "text/html". Up to 25000
// characters long.
string mime_type = 2;
// Output only. HTTP URI where you can download the content.
string content_uri = 4;
}
// Example data used for training or prediction.
message ExamplePayload {
// Required. Input only. The example data.
oneof payload {
// An example image.
Image image = 1;
// Example text.
TextSnippet text_snippet = 2;
}
}

64
google/cloud/automl/v1beta1/dataset.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/annotation_payload.proto";
import "google/cloud/automl/v1beta1/data_items.proto";
import "google/cloud/automl/v1beta1/image.proto";
import "google/cloud/automl/v1beta1/text.proto";
import "google/cloud/automl/v1beta1/translation.proto";
import "google/protobuf/timestamp.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// A workspace for solving a single, particular machine learning (ML) problem.
// A workspace contains examples that may be annotated.
message Dataset {
// Required.
// The dataset metadata that is specific to the problem type.
oneof dataset_metadata {
// Metadata for a dataset used for translation.
TranslationDatasetMetadata translation_dataset_metadata = 23;
// Metadata for a dataset used for image classification.
ImageClassificationDatasetMetadata image_classification_dataset_metadata =
24;
// Metadata for a dataset used for text classification.
TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;
}
// Output only. The resource name of the dataset.
// Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
string name = 1;
// Required. The name of the dataset to show in the interface. The name can be
// up to 32 characters
// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
// (_), and ASCII digits 0-9.
string display_name = 2;
// Output only. The number of examples in the dataset.
int32 example_count = 21;
// Output only. Timestamp when this dataset was created.
google.protobuf.Timestamp create_time = 14;
}

56
google/cloud/automl/v1beta1/image.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/classification.proto";
import "google/protobuf/timestamp.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "ImageProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Dataset metadata that is specific to image classification.
message ImageClassificationDatasetMetadata {
// Required.
// Type of the classification problem.
ClassificationType classification_type = 1;
}
// Model metadata for image classification.
message ImageClassificationModelMetadata {
// Optional. The ID of the `base` model. If it is specified, the new model
// will be created based on the `base` model. Otherwise, the new model will be
// created from scratch. The `base` model is expected to be in the same
// `project` and `location` as the new model to create.
string base_model_id = 1;
// Required. The train budget of creating this model. The actual
// `train_cost` will be equal or less than this value.
int64 train_budget = 2;
// Output only. The actual train cost of creating this model. If this
// model is created from a `base` model, the train cost used to create the
// `base` model are not included.
int64 train_cost = 3;
// Output only. The reason that this create model operation stopped,
// e.g. BUDGET_REACHED, CONVERGED.
string stop_reason = 5;
}

61
google/cloud/automl/v1beta1/io.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Input configuration.
message InputConfig {
// Required. The source of the input.
oneof source {
// The GCS location for the input content.
GcsSource gcs_source = 1;
}
}
// Output configuration.
message OutputConfig {
// Required. The destination of the output.
oneof destination {
// The GCS location where the output must be written to.
GcsDestination gcs_destination = 1;
}
}
// The GCS location for the input content.
message GcsSource {
// Required. Google Cloud Storage URIs to input files, up to 2000 characters
// long. Accepted forms:
// * Full object path: gs://bucket/directory/object.csv
repeated string input_uris = 1;
}
// The GCS location where the output must be written to
message GcsDestination {
// Required. Google Cloud Storage URI to output directory, up to 2000
// characters long.
// Accepted forms:
// * Prefix path: gs://bucket/directory
// The requesting user must have write permission to the bucket.
// The directory is created if it doesn't exist.
string output_uri_prefix = 1;
}

85
google/cloud/automl/v1beta1/model.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/image.proto";
import "google/cloud/automl/v1beta1/text.proto";
import "google/cloud/automl/v1beta1/translation.proto";
import "google/protobuf/timestamp.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// API proto representing a trained machine learning model.
message Model {
// Deployment state of the model.
enum DeploymentState {
// Should not be used, an un-set enum has this value by default.
DEPLOYMENT_STATE_UNSPECIFIED = 0;
// Model is deployed.
DEPLOYED = 1;
// Model is not deployed.
UNDEPLOYED = 2;
}
// Required.
// The model metadata that is specific to the problem type.
// Must match the metadata type of the dataset used to train the model.
oneof model_metadata {
// Metadata for image classification models.
ImageClassificationModelMetadata image_classification_model_metadata = 13;
// Metadata for text classification models.
TextClassificationModelMetadata text_classification_model_metadata = 14;
// Metadata for translation models.
TranslationModelMetadata translation_model_metadata = 15;
}
// Output only.
// Resource name of the model.
// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
string name = 1;
// Required. The name of the model to show in the interface. The name can be
// up to 32 characters
// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
// (_), and ASCII digits 0-9.
string display_name = 2;
// Required.
// The resource ID of the dataset used to create the model. The dataset must
// come from the
// same ancestor project and location.
string dataset_id = 3;
// Output only.
// Timestamp when this model was created.
google.protobuf.Timestamp create_time = 7;
// Output only.
// Timestamp when this model was last updated.
google.protobuf.Timestamp update_time = 11;
// Output only. Deployment state of the model.
DeploymentState deployment_state = 8;
}

61
google/cloud/automl/v1beta1/model_evaluation.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/classification.proto";
import "google/cloud/automl/v1beta1/translation.proto";
import "google/protobuf/timestamp.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Evaluation results of a model.
message ModelEvaluation {
// Output only. Problem type specific evaluation metrics.
oneof metrics {
// Evaluation metrics for models on classification problems models.
ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
// Evaluation metrics for models on translation models.
TranslationEvaluationMetrics translation_evaluation_metrics = 9;
}
// Output only.
// Resource name of the model evaluation.
// Format:
//
// `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
string name = 1;
// Output only.
// The ID of the annotation spec that the model evaluation applies to. The
// ID is empty for overall model evaluation.
// NOTE: Currently there is no way to obtain the display_name of the
// annotation spec from its ID. To see the display_names, review the model
// evaluations in the UI.
string annotation_spec_id = 2;
// Output only.
// Timestamp when this model evaluation was created.
google.protobuf.Timestamp create_time = 5;
// Output only. The number of examples used for model evaluation.
int32 evaluated_example_count = 6;
}

57
google/cloud/automl/v1beta1/operations.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/model.proto";
import "google/cloud/automl/v1beta1/model_evaluation.proto";
import "google/protobuf/empty.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Metadata used across all long running operations returned by AutoML API.
message OperationMetadata {
// Ouptut only. Details of specific operation. Even if this field is empty,
// the presence allows to distinguish different types of operations.
oneof details {
// Details of CreateModel operation.
CreateModelOperationMetadata create_model_details = 10;
}
// Output only. Progress of operation. Range: [0, 100].
int32 progress_percent = 13;
// Output only. Partial failures encountered.
// E.g. single files that couldn't be read.
// This field should never exceed 20 entries.
// Status details field will contain standard GCP error details.
repeated google.rpc.Status partial_failures = 2;
// Output only. Time when the operation was created.
google.protobuf.Timestamp create_time = 3;
// Output only. Time when the operation was updated for the last time.
google.protobuf.Timestamp update_time = 4;
}
// Details of CreateModel operation.
message CreateModelOperationMetadata {}

75
google/cloud/automl/v1beta1/prediction_service.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/annotation_payload.proto";
import "google/cloud/automl/v1beta1/data_items.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "PredictionServiceProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// AutoML Prediction API.
service PredictionService {
// Perform a prediction.
rpc Predict(PredictRequest) returns (PredictResponse) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/models/*}:predict"
body: "*"
};
}
}
// Request message for
// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
message PredictRequest {
// Name of the model requested to serve the prediction.
string name = 1;
// Required.
// Payload to perform a prediction on. The payload must match the
// problem type that the model was trained to solve.
ExamplePayload payload = 2;
// Additional domain-specific parameters, any string must be up to 25000
// characters long.
//
// * For Image Classification:
//
// `score_threshold` - (float) A value from 0.0 to 1.0. When the model
// makes predictions for an
// image, it will only produce results that have at least this confidence
// score threshold. The default is 0.5.
map<string, string> params = 3;
}
// Response message for
// [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
//
// Currently, this is only
// used to return an image recognition prediction result. More prediction
// output metadata might be introduced in the future.
message PredictResponse {
// Prediction result.
repeated AnnotationPayload payload = 1;
// Additional domain-specific prediction response metadata.
map<string, string> metadata = 2;
}

391
google/cloud/automl/v1beta1/service.proto
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// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/annotation_payload.proto";
import "google/cloud/automl/v1beta1/dataset.proto";
import "google/cloud/automl/v1beta1/io.proto";
import "google/cloud/automl/v1beta1/model.proto";
import "google/cloud/automl/v1beta1/model_evaluation.proto";
import "google/cloud/automl/v1beta1/operations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/field_mask.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "AutoMlProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// AutoML Server API.
//
// The resource names are assigned by the server.
// The server never reuses names that it has created after the resources with
// those names are deleted.
//
// An ID of a resource is the last element of the item's resource name. For
// `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
// the id for the item is `{dataset_id}`.
//
service AutoMl {
// Creates a dataset.
rpc CreateDataset(CreateDatasetRequest) returns (Dataset) {
option (google.api.http) = {
post: "/v1beta1/{parent=projects/*/locations/*}/datasets"
body: "dataset"
};
}
// Gets a dataset.
rpc GetDataset(GetDatasetRequest) returns (Dataset) {
option (google.api.http) = {
get: "/v1beta1/{name=projects/*/locations/*/datasets/*}"
};
}
// Lists datasets in a project.
rpc ListDatasets(ListDatasetsRequest) returns (ListDatasetsResponse) {
option (google.api.http) = {
get: "/v1beta1/{parent=projects/*/locations/*}/datasets"
};
}
// Deletes a dataset and all of its contents.
// Returns empty response in the
// [response][google.longrunning.Operation.response] field when it completes,
// and `delete_details` in the
// [metadata][google.longrunning.Operation.metadata] field.
rpc DeleteDataset(DeleteDatasetRequest)
returns (google.longrunning.Operation) {
option (google.api.http) = {
delete: "/v1beta1/{name=projects/*/locations/*/datasets/*}"
};
}
// Imports data into a dataset.
// Returns an empty response in the
// [response][google.longrunning.Operation.response] field when it completes.
rpc ImportData(ImportDataRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:importData"
body: "*"
};
}
// Exports dataset's data to a Google Cloud Storage bucket.
// Returns an empty response in the
// [response][google.longrunning.Operation.response] field when it completes.
rpc ExportData(ExportDataRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:exportData"
body: "*"
};
}
// Creates a model.
// Returns a Model in the [response][google.longrunning.Operation.response]
// field when it completes.
// When you create a model, several model evaluations are created for it:
// a global evaluation, and one evaluation for each annotation spec.
rpc CreateModel(CreateModelRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1beta1/{parent=projects/*/locations/*}/models"
body: "model"
};
}
// Gets a model.
rpc GetModel(GetModelRequest) returns (Model) {
option (google.api.http) = {
get: "/v1beta1/{name=projects/*/locations/*/models/*}"
};
}
// Lists models.
rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
option (google.api.http) = {
get: "/v1beta1/{parent=projects/*/locations/*}/models"
};
}
// Deletes a model.
// If a model is already deployed, this only deletes the model in AutoML BE,
// and does not change the status of the deployed model in the production
// environment.
// Returns `google.protobuf.Empty` in the
// [response][google.longrunning.Operation.response] field when it completes,
// and `delete_details` in the
// [metadata][google.longrunning.Operation.metadata] field.
rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
delete: "/v1beta1/{name=projects/*/locations/*/models/*}"
};
}
// Deploys model.
// Returns a [DeployModelResponse][] in the
// [response][google.longrunning.Operation.response] field when it completes.
rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/models/*}:deploy"
body: "*"
};
}
// Undeploys model.
// Returns an `UndeployModelResponse` in the
// [response][google.longrunning.Operation.response] field when it completes.
rpc UndeployModel(UndeployModelRequest)
returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/models/*}:undeploy"
body: "*"
};
}
// Gets a model evaluation.
rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
option (google.api.http) = {
get: "/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}"
};
}
// Lists model evaluations.
rpc ListModelEvaluations(ListModelEvaluationsRequest)
returns (ListModelEvaluationsResponse) {
option (google.api.http) = {
get: "/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations"
};
}
}
// Request message for
// [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
message CreateDatasetRequest {
// The resource name of the project to create the dataset for.
string parent = 1;
// The dataset to create.
Dataset dataset = 2;
}
// Request message for
// [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
message GetDatasetRequest {
// The resource name of the dataset to retrieve.
string name = 1;
}
// Request message for
// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
message ListDatasetsRequest {
// The resource name of the project from which to list datasets.
string parent = 1;
// An expression for filtering the results of the request.
//
// * `dataset_metadata` - for existence of the case.
//
// An example of using the filter is:
//
// * `translation_dataset_metadata:*` --> The dataset has
// translation_dataset_metadata.
string filter = 3;
// Requested page size. Server may return fewer results than requested.
// If unspecified, server will pick a default size.
int32 page_size = 4;
// A token identifying a page of results for the server to return
// Typically obtained via
// [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token]
// of the previous
// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets]
// call.
string page_token = 6;
}
// Response message for
// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
message ListDatasetsResponse {
// The datasets read.
repeated Dataset datasets = 1;
// A token to retrieve next page of results.
// Pass to
// [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token]
// to obtain that page.
string next_page_token = 2;
}
// Request message for
// [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
message DeleteDatasetRequest {
// The resource name of the dataset to delete.
string name = 1;
}
// Request message for
// [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
message ImportDataRequest {
// Required. Dataset name. Dataset must already exist. All imported
// annotations and examples will be added.
string name = 1;
// Required. The desired input location.
InputConfig input_config = 3;
}
// Request message for
// [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
message ExportDataRequest {
// Required. The resource name of the dataset.
string name = 1;
// Required. The desired output location.
OutputConfig output_config = 3;
}
// Request message for
// [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
message CreateModelRequest {
// Resource name of the parent project where the model is being created.
string parent = 1;
// The model to create.
Model model = 4;
}
// Request message for
// [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
message GetModelRequest {
// Resource name of the model.
string name = 1;
}
// Request message for
// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
message ListModelsRequest {
// Resource name of the project, from which to list the models.
string parent = 1;
// An expression for filtering the results of the request.
//
// * `model_metadata` - for existence of the case.
// * `dataset_id` - for = or !=.
//
// Some examples of using the filter are:
//
// * `image_classification_model_metadata:*` --> The model has
// image_classification_model_metadata.
// * `dataset_id=5` --> The model was created from a sibling dataset with
// ID 5.
string filter = 3;
// Requested page size.
int32 page_size = 4;
// A token identifying a page of results for the server to return
// Typically obtained via
// [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token]
// of the previous
// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
string page_token = 6;
}
// Response message for
// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
message ListModelsResponse {
// List of models in the requested page.
repeated Model model = 1;
// A token to retrieve next page of results.
// Pass to [ListModels.page_token][] to obtain that page.
string next_page_token = 2;
}
// Request message for
// [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
message DeleteModelRequest {
// Resource name of the model being deleted.
string name = 1;
}
// Request message for
// [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
message DeployModelRequest {
// Resource name of the model to deploy.
string name = 1;
}
// Request message for
// [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
message UndeployModelRequest {
// Resource name of the model to undeploy.
string name = 1;
}
// Request message for
// [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
message GetModelEvaluationRequest {
// Resource name for the model evaluation.
string name = 1;
}
// Request message for
// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
message ListModelEvaluationsRequest {
// Resource name of the model to list the model evaluations for.
// If modelId is set as "-", this will list model evaluations from across all
// models of the parent location.
string parent = 1;
// An expression for filtering the results of the request.
//
// * `annotation_spec_id` - for =, != or existence. See example below for
// the last.
//
// Some examples of using the filter are:
//
// * `annotation_spec_id!=4` --> The model evaluation was done for
// annotation spec with ID different than 4.
// * `NOT annotation_spec_id:*` --> The model evaluation was done for
// aggregate of all annotation specs.
string filter = 3;
// Requested page size.
int32 page_size = 4;
// A token identifying a page of results for the server to return.
// Typically obtained via
// `ListModelEvaluationsResponse.next_page_token` of the previous
// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations]
// call.
string page_token = 6;
}
// Response message for
// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
message ListModelEvaluationsResponse {
// List of model evaluations in the requested page.
repeated ModelEvaluation model_evaluation = 1;
// A token to retrieve next page of results.
// Pass to [ListModelEvaluations.page_token][] to obtain that page.
string next_page_token = 2;
}

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@ -1,36 +0,0 @@
// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/classification.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "TextProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Dataset metadata for classification.
message TextClassificationDatasetMetadata {
// Required.
// Type of the classification problem.
ClassificationType classification_type = 1;
}
// Model metadata that is specific to text classification.
message TextClassificationModelMetadata {}

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@ -1,67 +0,0 @@
// Copyright 2018 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.automl.v1beta1;
import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/data_items.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "TranslationProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
// Dataset metadata that is specific to translation.
message TranslationDatasetMetadata {
// Required. The BCP-47 language code of the source language.
string source_language_code = 1;
// Required. The BCP-47 language code of the target language.
string target_language_code = 2;
}
// Evaluation metrics for the dataset.
message TranslationEvaluationMetrics {
// Output only. BLEU score.
double bleu_score = 1;
// Output only. BLEU score for base model.
double base_bleu_score = 2;
}
// Model metadata that is specific to translation.
message TranslationModelMetadata {
// The resource name of the model to use as a baseline to train the custom
// model. If unset, we use the default base model provided by Google
// Translate. Format:
// `projects/{project_id}/locations/{location_id}/models/{model_id}`
string base_model = 1;
// Output only. Inferred from the dataset.
// The source languge (The BCP-47 language code) that is used for training.
string source_language_code = 2;
// Output only. The target languge (The BCP-47 language code) that is used for
// training.
string target_language_code = 3;
}
// Annotation details specific to translation.
message TranslationAnnotation {
// Output only . The translated content.
TextSnippet translated_content = 1;
}