📄 Source: GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetrics.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 GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetrics extends \Google\Collection
{
protected $collection_key = 'quantileMetrics';
/**
* 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;
protected $quantileMetricsType = GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry::class;
protected $quantileMetricsDataType = 'array';
/**
* 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;
/**
* Root Mean Square Percentage Error. Square root of MSPE. Undefined/imaginary
* when MSPE is negative.
*
* @var float
*/
public $rootMeanSquaredPercentageError;
/**
* Weighted Absolute Percentage Error. Does not use weights, this is just what
* the metric is called. Undefined if actual values sum to zero. Will be very
* large if actual values sum to a very small number.
*
* @var float
*/
public $weightedAbsolutePercentageError;
/**
* 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;
}
/**
* The quantile metrics entries for each quantile.
*
* @param GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry[] $quantileMetrics
*/
public function setQuantileMetrics($quantileMetrics)
{
$this->quantileMetrics = $quantileMetrics;
}
/**
* @return GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry[]
*/
public function getQuantileMetrics()
{
return $this->quantileMetrics;
}
/**
* 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;
}
/**
* Root Mean Square Percentage Error. Square root of MSPE. Undefined/imaginary
* when MSPE is negative.
*
* @param float $rootMeanSquaredPercentageError
*/
public function setRootMeanSquaredPercentageError($rootMeanSquaredPercentageError)
{
$this->rootMeanSquaredPercentageError = $rootMeanSquaredPercentageError;
}
/**
* @return float
*/
public function getRootMeanSquaredPercentageError()
{
return $this->rootMeanSquaredPercentageError;
}
/**
* Weighted Absolute Percentage Error. Does not use weights, this is just what
* the metric is called. Undefined if actual values sum to zero. Will be very
* large if actual values sum to a very small number.
*
* @param float $weightedAbsolutePercentageError
*/
public function setWeightedAbsolutePercentageError($weightedAbsolutePercentageError)
{
$this->weightedAbsolutePercentageError = $weightedAbsolutePercentageError;
}
/**
* @return float
*/
public function getWeightedAbsolutePercentageError()
{
return $this->weightedAbsolutePercentageError;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetrics::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetrics');
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