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Diffstat (limited to 'google/cloud/automl/v1beta1/text.proto')
-rw-r--r-- | google/cloud/automl/v1beta1/text.proto | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/google/cloud/automl/v1beta1/text.proto b/google/cloud/automl/v1beta1/text.proto new file mode 100644 index 000000000..8b4b853c3 --- /dev/null +++ b/google/cloud/automl/v1beta1/text.proto @@ -0,0 +1,67 @@ +// Copyright 2018 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.automl.v1beta1; + +import "google/api/annotations.proto"; +import "google/cloud/automl/v1beta1/classification.proto"; + +option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; +option java_multiple_files = true; +option java_outer_classname = "TextProto"; +option java_package = "com.google.cloud.automl.v1beta1"; +option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; + + +// Dataset metadata for classification. +message TextClassificationDatasetMetadata { + // Required. + // Type of the classification problem. + ClassificationType classification_type = 1; +} + +// Model metadata that is specific to text classification. +message TextClassificationModelMetadata { + +} + +// Dataset metadata that is specific to text extraction +message TextExtractionDatasetMetadata { + +} + +// Model metadata that is specific to text extraction. +message TextExtractionModelMetadata { + +} + +// Dataset metadata for text sentiment. +message TextSentimentDatasetMetadata { + // Required. + // A sentiment is expressed as an integer ordinal, where higher value + // means a more positive sentiment. The range of sentiments that will be used + // is between 0 and sentiment_max (inclusive on both ends), and all the values + // in the range must be represented in the dataset before a model can be + // created. + // sentiment_max value must be between 1 and 10 (inclusive). + int32 sentiment_max = 1; +} + +// Model metadata that is specific to text classification. +message TextSentimentModelMetadata { + +} |