1// Copyright 2020 Google LLC
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     http://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14
15syntax = "proto3";
16
17package google.cloud.automl.v1beta1;
18
19import "google/cloud/automl/v1beta1/classification.proto";
20
21option go_package = "cloud.google.com/go/automl/apiv1beta1/automlpb;automlpb";
22option java_multiple_files = true;
23option java_outer_classname = "TextProto";
24option java_package = "com.google.cloud.automl.v1beta1";
25option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
26option ruby_package = "Google::Cloud::AutoML::V1beta1";
27
28// Dataset metadata for classification.
29message TextClassificationDatasetMetadata {
30  // Required. Type of the classification problem.
31  ClassificationType classification_type = 1;
32}
33
34// Model metadata that is specific to text classification.
35message TextClassificationModelMetadata {
36  // Output only. Classification type of the dataset used to train this model.
37  ClassificationType classification_type = 3;
38}
39
40// Dataset metadata that is specific to text extraction
41message TextExtractionDatasetMetadata {
42
43}
44
45// Model metadata that is specific to text extraction.
46message TextExtractionModelMetadata {
47  // Indicates the scope of model use case.
48  //
49  // * `default`: Use to train a general text extraction model. Default value.
50  //
51  // * `health_care`: Use to train a text extraction model that is tuned for
52  //   healthcare applications.
53  string model_hint = 3;
54}
55
56// Dataset metadata for text sentiment.
57message TextSentimentDatasetMetadata {
58  // Required. A sentiment is expressed as an integer ordinal, where higher value
59  // means a more positive sentiment. The range of sentiments that will be used
60  // is between 0 and sentiment_max (inclusive on both ends), and all the values
61  // in the range must be represented in the dataset before a model can be
62  // created.
63  // sentiment_max value must be between 1 and 10 (inclusive).
64  int32 sentiment_max = 1;
65}
66
67// Model metadata that is specific to text sentiment.
68message TextSentimentModelMetadata {
69
70}
71