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_v1beta1.types.regression
# -*- 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.automl.v1beta1", manifest={"RegressionEvaluationMetrics",},
)
[docs]class RegressionEvaluationMetrics(proto.Message):
r"""Metrics for regression problems.
Attributes:
root_mean_squared_error (float):
Output only. Root Mean Squared Error (RMSE).
mean_absolute_error (float):
Output only. Mean Absolute Error (MAE).
mean_absolute_percentage_error (float):
Output only. Mean absolute percentage error.
Only set if all ground truth values are are
positive.
r_squared (float):
Output only. R squared.
root_mean_squared_log_error (float):
Output only. Root mean squared log error.
"""
root_mean_squared_error = proto.Field(proto.FLOAT, number=1,)
mean_absolute_error = proto.Field(proto.FLOAT, number=2,)
mean_absolute_percentage_error = proto.Field(proto.FLOAT, number=3,)
r_squared = proto.Field(proto.FLOAT, number=4,)
root_mean_squared_log_error = proto.Field(proto.FLOAT, number=5,)
__all__ = tuple(sorted(__protobuf__.manifest))