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.translation
# -*- 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 data_items
__protobuf__ = proto.module(
package="google.cloud.automl.v1",
manifest={
"TranslationDatasetMetadata",
"TranslationEvaluationMetrics",
"TranslationModelMetadata",
"TranslationAnnotation",
},
)
[docs]class TranslationDatasetMetadata(proto.Message):
r"""Dataset metadata that is specific to translation.
Attributes:
source_language_code (str):
Required. The BCP-47 language code of the
source language.
target_language_code (str):
Required. The BCP-47 language code of the
target language.
"""
source_language_code = proto.Field(proto.STRING, number=1,)
target_language_code = proto.Field(proto.STRING, number=2,)
[docs]class TranslationEvaluationMetrics(proto.Message):
r"""Evaluation metrics for the dataset.
Attributes:
bleu_score (float):
Output only. BLEU score.
base_bleu_score (float):
Output only. BLEU score for base model.
"""
bleu_score = proto.Field(proto.DOUBLE, number=1,)
base_bleu_score = proto.Field(proto.DOUBLE, number=2,)
[docs]class TranslationModelMetadata(proto.Message):
r"""Model metadata that is specific to translation.
Attributes:
base_model (str):
The resource name of the model to use as a baseline to train
the custom model. If unset, we use the default base model
provided by Google Translate. Format:
``projects/{project_id}/locations/{location_id}/models/{model_id}``
source_language_code (str):
Output only. Inferred from the dataset.
The source language (The BCP-47 language code)
that is used for training.
target_language_code (str):
Output only. The target language (The BCP-47
language code) that is used for training.
"""
base_model = proto.Field(proto.STRING, number=1,)
source_language_code = proto.Field(proto.STRING, number=2,)
target_language_code = proto.Field(proto.STRING, number=3,)
[docs]class TranslationAnnotation(proto.Message):
r"""Annotation details specific to translation.
Attributes:
translated_content (google.cloud.automl_v1.types.TextSnippet):
Output only . The translated content.
"""
translated_content = proto.Field(
proto.MESSAGE, number=1, message=data_items.TextSnippet,
)
__all__ = tuple(sorted(__protobuf__.manifest))