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69 lines
2.5 KiB
69 lines
2.5 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/cloud/automl/v1/text_segment.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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// Annotation for identifying spans of text. |
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message TextExtractionAnnotation { |
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// Required. Text extraction annotations can either be a text segment or a |
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// text relation. |
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oneof annotation { |
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// An entity annotation will set this, which is the part of the original |
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// text to which the annotation pertains. |
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TextSegment text_segment = 3; |
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} |
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// Output only. A confidence estimate between 0.0 and 1.0. A higher value |
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// means greater confidence in correctness of the annotation. |
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float score = 1; |
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} |
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// Model evaluation metrics for text extraction problems. |
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message TextExtractionEvaluationMetrics { |
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// Metrics for a single confidence threshold. |
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message ConfidenceMetricsEntry { |
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// Output only. The confidence threshold value used to compute the metrics. |
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// Only annotations with score of at least this threshold are considered to |
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// be ones the model would return. |
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float confidence_threshold = 1; |
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// Output only. Recall under the given confidence threshold. |
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float recall = 3; |
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// Output only. Precision under the given confidence threshold. |
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float precision = 4; |
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// Output only. The harmonic mean of recall and precision. |
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float f1_score = 5; |
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} |
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// Output only. The Area under precision recall curve metric. |
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float au_prc = 1; |
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// Output only. Metrics that have confidence thresholds. |
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// Precision-recall curve can be derived from it. |
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repeated ConfidenceMetricsEntry confidence_metrics_entries = 2; |
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}
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