143 lines
3.6 KiB
PHP
143 lines
3.6 KiB
PHP
<?php
|
|
/*
|
|
* Copyright 2014 Google Inc.
|
|
*
|
|
* 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.
|
|
*/
|
|
|
|
namespace Google\Service\Aiplatform;
|
|
|
|
class GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics extends \Google\Model
|
|
{
|
|
/**
|
|
* Mean Absolute Error (MAE).
|
|
*
|
|
* @var float
|
|
*/
|
|
public $meanAbsoluteError;
|
|
/**
|
|
* Mean absolute percentage error. Infinity when there are zeros in the ground
|
|
* truth.
|
|
*
|
|
* @var float
|
|
*/
|
|
public $meanAbsolutePercentageError;
|
|
/**
|
|
* Coefficient of determination as Pearson correlation coefficient. Undefined
|
|
* when ground truth or predictions are constant or near constant.
|
|
*
|
|
* @var float
|
|
*/
|
|
public $rSquared;
|
|
/**
|
|
* Root Mean Squared Error (RMSE).
|
|
*
|
|
* @var float
|
|
*/
|
|
public $rootMeanSquaredError;
|
|
/**
|
|
* Root mean squared log error. Undefined when there are negative ground truth
|
|
* values or predictions.
|
|
*
|
|
* @var float
|
|
*/
|
|
public $rootMeanSquaredLogError;
|
|
|
|
/**
|
|
* Mean Absolute Error (MAE).
|
|
*
|
|
* @param float $meanAbsoluteError
|
|
*/
|
|
public function setMeanAbsoluteError($meanAbsoluteError)
|
|
{
|
|
$this->meanAbsoluteError = $meanAbsoluteError;
|
|
}
|
|
/**
|
|
* @return float
|
|
*/
|
|
public function getMeanAbsoluteError()
|
|
{
|
|
return $this->meanAbsoluteError;
|
|
}
|
|
/**
|
|
* Mean absolute percentage error. Infinity when there are zeros in the ground
|
|
* truth.
|
|
*
|
|
* @param float $meanAbsolutePercentageError
|
|
*/
|
|
public function setMeanAbsolutePercentageError($meanAbsolutePercentageError)
|
|
{
|
|
$this->meanAbsolutePercentageError = $meanAbsolutePercentageError;
|
|
}
|
|
/**
|
|
* @return float
|
|
*/
|
|
public function getMeanAbsolutePercentageError()
|
|
{
|
|
return $this->meanAbsolutePercentageError;
|
|
}
|
|
/**
|
|
* Coefficient of determination as Pearson correlation coefficient. Undefined
|
|
* when ground truth or predictions are constant or near constant.
|
|
*
|
|
* @param float $rSquared
|
|
*/
|
|
public function setRSquared($rSquared)
|
|
{
|
|
$this->rSquared = $rSquared;
|
|
}
|
|
/**
|
|
* @return float
|
|
*/
|
|
public function getRSquared()
|
|
{
|
|
return $this->rSquared;
|
|
}
|
|
/**
|
|
* Root Mean Squared Error (RMSE).
|
|
*
|
|
* @param float $rootMeanSquaredError
|
|
*/
|
|
public function setRootMeanSquaredError($rootMeanSquaredError)
|
|
{
|
|
$this->rootMeanSquaredError = $rootMeanSquaredError;
|
|
}
|
|
/**
|
|
* @return float
|
|
*/
|
|
public function getRootMeanSquaredError()
|
|
{
|
|
return $this->rootMeanSquaredError;
|
|
}
|
|
/**
|
|
* Root mean squared log error. Undefined when there are negative ground truth
|
|
* values or predictions.
|
|
*
|
|
* @param float $rootMeanSquaredLogError
|
|
*/
|
|
public function setRootMeanSquaredLogError($rootMeanSquaredLogError)
|
|
{
|
|
$this->rootMeanSquaredLogError = $rootMeanSquaredLogError;
|
|
}
|
|
/**
|
|
* @return float
|
|
*/
|
|
public function getRootMeanSquaredLogError()
|
|
{
|
|
return $this->rootMeanSquaredLogError;
|
|
}
|
|
}
|
|
|
|
// Adding a class alias for backwards compatibility with the previous class name.
|
|
class_alias(GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics');
|