As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.automl_v1.types.text
# -*- coding: utf-8 -*-
# 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.
#
import proto # type: ignore
from google.cloud.automl_v1.types import classification
__protobuf__ = proto.module(
package="google.cloud.automl.v1",
manifest={
"TextClassificationDatasetMetadata",
"TextClassificationModelMetadata",
"TextExtractionDatasetMetadata",
"TextExtractionModelMetadata",
"TextSentimentDatasetMetadata",
"TextSentimentModelMetadata",
},
)
[docs]class TextClassificationDatasetMetadata(proto.Message):
r"""Dataset metadata for classification.
Attributes:
classification_type (google.cloud.automl_v1.types.ClassificationType):
Required. Type of the classification problem.
"""
classification_type = proto.Field(
proto.ENUM, number=1, enum=classification.ClassificationType,
)
[docs]class TextClassificationModelMetadata(proto.Message):
r"""Model metadata that is specific to text classification.
Attributes:
classification_type (google.cloud.automl_v1.types.ClassificationType):
Output only. Classification type of the
dataset used to train this model.
"""
classification_type = proto.Field(
proto.ENUM, number=3, enum=classification.ClassificationType,
)
[docs]class TextExtractionDatasetMetadata(proto.Message):
r"""Dataset metadata that is specific to text extraction """
[docs]class TextExtractionModelMetadata(proto.Message):
r"""Model metadata that is specific to text extraction. """
[docs]class TextSentimentDatasetMetadata(proto.Message):
r"""Dataset metadata for text sentiment.
Attributes:
sentiment_max (int):
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).
"""
sentiment_max = proto.Field(proto.INT32, number=1,)
[docs]class TextSentimentModelMetadata(proto.Message):
r"""Model metadata that is specific to text sentiment. """
__all__ = tuple(sorted(__protobuf__.manifest))