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106 lines
4.5 KiB
106 lines
4.5 KiB
// Copyright 2020 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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syntax = "proto3"; |
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package google.cloud.automl.v1; |
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import "google/api/resource.proto"; |
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import "google/cloud/automl/v1/classification.proto"; |
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import "google/cloud/automl/v1/detection.proto"; |
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import "google/cloud/automl/v1/text_extraction.proto"; |
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import "google/cloud/automl/v1/text_sentiment.proto"; |
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import "google/cloud/automl/v1/translation.proto"; |
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import "google/protobuf/timestamp.proto"; |
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import "google/api/annotations.proto"; |
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option csharp_namespace = "Google.Cloud.AutoML.V1"; |
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option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1;automl"; |
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option java_multiple_files = true; |
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option java_package = "com.google.cloud.automl.v1"; |
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option php_namespace = "Google\\Cloud\\AutoMl\\V1"; |
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option ruby_package = "Google::Cloud::AutoML::V1"; |
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// Evaluation results of a model. |
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message ModelEvaluation { |
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option (google.api.resource) = { |
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type: "automl.googleapis.com/ModelEvaluation" |
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pattern: "projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}" |
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}; |
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// Output only. Problem type specific evaluation metrics. |
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oneof metrics { |
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// Model evaluation metrics for image, text, video and tables |
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// classification. |
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// Tables problem is considered a classification when the target column |
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// is CATEGORY DataType. |
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ClassificationEvaluationMetrics classification_evaluation_metrics = 8; |
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// Model evaluation metrics for translation. |
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TranslationEvaluationMetrics translation_evaluation_metrics = 9; |
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// Model evaluation metrics for image object detection. |
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ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; |
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// Evaluation metrics for text sentiment models. |
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TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; |
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// Evaluation metrics for text extraction models. |
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TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; |
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} |
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// Output only. Resource name of the model evaluation. |
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// Format: |
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// |
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// `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}` |
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string name = 1; |
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// Output only. The ID of the annotation spec that the model evaluation applies to. The |
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// The ID is empty for the overall model evaluation. |
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// For Tables annotation specs in the dataset do not exist and this ID is |
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// always not set, but for CLASSIFICATION |
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// |
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// [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] |
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// the |
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// [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] |
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// field is used. |
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string annotation_spec_id = 2; |
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// Output only. The value of |
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// [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] |
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// at the moment when the model was trained. Because this field returns a |
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// value at model training time, for different models trained from the same |
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// dataset, the values may differ, since display names could had been changed |
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// between the two model's trainings. For Tables CLASSIFICATION |
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// |
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// [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] |
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// distinct values of the target column at the moment of the model evaluation |
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// are populated here. |
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// The display_name is empty for the overall model evaluation. |
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string display_name = 15; |
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// Output only. Timestamp when this model evaluation was created. |
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google.protobuf.Timestamp create_time = 5; |
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// Output only. The number of examples used for model evaluation, i.e. for |
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// which ground truth from time of model creation is compared against the |
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// predicted annotations created by the model. |
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// For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is |
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// the total number of all examples used for evaluation. |
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// Otherwise, this is the count of examples that according to the ground |
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// truth were annotated by the |
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// |
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// [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id]. |
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int32 evaluated_example_count = 6; |
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}
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