googleapis/google/cloud/recommendationengine/v1beta1/common.proto

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// 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.recommendationengine.v1beta1;
import "google/api/annotations.proto";
option csharp_namespace = "Google.Cloud.RecommendationEngine.V1Beta1";
option go_package = "google.golang.org/genproto/googleapis/cloud/recommendationengine/v1beta1;recommendationengine";
option java_multiple_files = true;
option java_package = "com.google.cloud.recommendationengine.v1beta1";
option objc_class_prefix = "RECAI";
option php_namespace = "Google\\Cloud\\RecommendationEngine\\V1beta1";
option ruby_package = "Google::Cloud::RecommendationEngine::V1beta1";
// FeatureMap represents extra features that customers want to include in the
// recommendation model for catalogs/user events as categorical/numerical
// features.
message FeatureMap {
// A list of string features.
message StringList {
// String feature value with a length limit of 128 bytes.
repeated string value = 1;
}
// A list of float features.
message FloatList {
// Float feature value.
repeated float value = 1;
}
// Categorical features that can take on one of a limited number of possible
// values. Some examples would be the brand/maker of a product, or country of
// a customer.
//
// Feature names and values must be UTF-8 encoded strings.
//
// For example: `{ "colors": {"value": ["yellow", "green"]},
// "sizes": {"value":["S", "M"]}`
map<string, StringList> categorical_features = 1;
// Numerical features. Some examples would be the height/weight of a product,
// or age of a customer.
//
// Feature names must be UTF-8 encoded strings.
//
// For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
// "heights_cm": {"value":[8.1, 6.4]} }`
map<string, FloatList> numerical_features = 2;
}