// 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.aiplatform.v1beta1.schema.predict.prediction; import "google/api/annotations.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction"; option java_multiple_files = true; option java_outer_classname = "TextExtractionPredictionResultProto"; option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction"; // Prediction output format for Text Extraction. message TextExtractionPredictionResult { // The resource IDs of the AnnotationSpecs that had been identified, // ordered by the confidence score descendingly. repeated int64 ids = 1; // The display names of the AnnotationSpecs that had been identified, // order matches the IDs. repeated string display_names = 2; // The start offsets, inclusive, of the text segment in which the // AnnotationSpec has been identified. Expressed as a zero-based number // of characters as measured from the start of the text snippet. repeated int64 text_segment_start_offsets = 3; // The end offsets, inclusive, of the text segment in which the // AnnotationSpec has been identified. Expressed as a zero-based number // of characters as measured from the start of the text snippet. repeated int64 text_segment_end_offsets = 4; // The Model's confidences in correctness of the predicted IDs, higher // value means higher confidence. Order matches the Ids. repeated float confidences = 5; }