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Contents
# Copyright 2019 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 # # https://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. module Google module Cloud module AutoML module V1beta1 # Dataset metadata for classification. # @!attribute [rw] classification_type # @return [Google::Cloud::AutoML::V1beta1::ClassificationType] # Required. Type of the classification problem. class TextClassificationDatasetMetadata; end # Model metadata that is specific to text classification. class TextClassificationModelMetadata; end # Dataset metadata that is specific to text extraction class TextExtractionDatasetMetadata; end # Model metadata that is specific to text extraction. class TextExtractionModelMetadata; end # Dataset metadata for text sentiment. # @!attribute [rw] sentiment_max # @return [Integer] # 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). class TextSentimentDatasetMetadata; end # Model metadata that is specific to text sentiment. class TextSentimentModelMetadata; end end end end end
Version data entries
2 entries across 2 versions & 1 rubygems