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68 lines
2.1 KiB
68 lines
2.1 KiB
6 years ago
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// Copyright 2018 Google LLC.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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syntax = "proto3";
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package google.cloud.automl.v1beta1;
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import "google/api/annotations.proto";
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import "google/cloud/automl/v1beta1/classification.proto";
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option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
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option java_multiple_files = true;
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option java_outer_classname = "TextProto";
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option java_package = "com.google.cloud.automl.v1beta1";
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option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
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// Dataset metadata for classification.
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message TextClassificationDatasetMetadata {
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// Required.
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// Type of the classification problem.
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ClassificationType classification_type = 1;
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}
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// Model metadata that is specific to text classification.
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message TextClassificationModelMetadata {
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}
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// Dataset metadata that is specific to text extraction
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message TextExtractionDatasetMetadata {
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}
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// Model metadata that is specific to text extraction.
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message TextExtractionModelMetadata {
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}
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// Dataset metadata for text sentiment.
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message TextSentimentDatasetMetadata {
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// Required.
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// A sentiment is expressed as an integer ordinal, where higher value
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// means a more positive sentiment. The range of sentiments that will be used
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// is between 0 and sentiment_max (inclusive on both ends), and all the values
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// in the range must be represented in the dataset before a model can be
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// created.
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// sentiment_max value must be between 1 and 10 (inclusive).
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int32 sentiment_max = 1;
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}
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// Model metadata that is specific to text classification.
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message TextSentimentModelMetadata {
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}
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