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// 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.
syntax = "proto3";
package google.cloud.automl.v1beta1;
option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_outer_classname = "RegressionProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
option ruby_package = "Google::Cloud::AutoML::V1beta1";
// Metrics for regression problems.
message RegressionEvaluationMetrics {
// Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
// Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
// Output only. Mean absolute percentage error. Only set if all ground truth
// values are are positive.
float mean_absolute_percentage_error = 3;
// Output only. R squared.
float r_squared = 4;
// Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
}
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