/
export_evaluated_data_items_config.py
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/
export_evaluated_data_items_config.py
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# -*- 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
__protobuf__ = proto.module(
package="google.cloud.aiplatform.v1.schema.trainingjob.definition",
manifest={"ExportEvaluatedDataItemsConfig",},
)
class ExportEvaluatedDataItemsConfig(proto.Message):
r"""Configuration for exporting test set predictions to a
BigQuery table.
Attributes:
destination_bigquery_uri (str):
URI of desired destination BigQuery table. Expected format:
bq://<project_id>:<dataset_id>:
If not specified, then results are exported to the following
auto-created BigQuery table:
<project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
override_existing_table (bool):
If true and an export destination is
specified, then the contents of the destination
are overwritten. Otherwise, if the export
destination already exists, then the export
operation fails.
"""
destination_bigquery_uri = proto.Field(proto.STRING, number=1,)
override_existing_table = proto.Field(proto.BOOL, number=2,)
__all__ = tuple(sorted(__protobuf__.manifest))