Viewing file:  GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics.php (2.66 KB) -rw-r--r--
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<?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
{
/**
* @var float
*/
public $meanAbsoluteError;
/**
* @var float
*/
public $meanAbsolutePercentageError;
/**
* @var float
*/
public $rSquared;
/**
* @var float
*/
public $rootMeanSquaredError;
/**
* @var float
*/
public $rootMeanSquaredLogError;
/**
* @param float
*/
public function setMeanAbsoluteError($meanAbsoluteError)
{
$this->meanAbsoluteError = $meanAbsoluteError;
}
/**
* @return float
*/
public function getMeanAbsoluteError()
{
return $this->meanAbsoluteError;
}
/**
* @param float
*/
public function setMeanAbsolutePercentageError($meanAbsolutePercentageError)
{
$this->meanAbsolutePercentageError = $meanAbsolutePercentageError;
}
/**
* @return float
*/
public function getMeanAbsolutePercentageError()
{
return $this->meanAbsolutePercentageError;
}
/**
* @param float
*/
public function setRSquared($rSquared)
{
$this->rSquared = $rSquared;
}
/**
* @return float
*/
public function getRSquared()
{
return $this->rSquared;
}
/**
* @param float
*/
public function setRootMeanSquaredError($rootMeanSquaredError)
{
$this->rootMeanSquaredError = $rootMeanSquaredError;
}
/**
* @return float
*/
public function getRootMeanSquaredError()
{
return $this->rootMeanSquaredError;
}
/**
* @param float
*/
public function setRootMeanSquaredLogError($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');
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