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))