File "GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig.php"
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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 GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig extends \Google\Model
{
protected $attributionScoreSkewThresholdsType = GoogleCloudAiplatformV1ThresholdConfig::class;
protected $attributionScoreSkewThresholdsDataType = 'map';
protected $defaultSkewThresholdType = GoogleCloudAiplatformV1ThresholdConfig::class;
protected $defaultSkewThresholdDataType = '';
protected $skewThresholdsType = GoogleCloudAiplatformV1ThresholdConfig::class;
protected $skewThresholdsDataType = 'map';
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between the training and prediction
* feature.
*
* @param GoogleCloudAiplatformV1ThresholdConfig[] $attributionScoreSkewThresholds
*/
public function setAttributionScoreSkewThresholds($attributionScoreSkewThresholds)
{
$this->attributionScoreSkewThresholds = $attributionScoreSkewThresholds;
}
/**
* @return GoogleCloudAiplatformV1ThresholdConfig[]
*/
public function getAttributionScoreSkewThresholds()
{
return $this->attributionScoreSkewThresholds;
}
/**
* Skew anomaly detection threshold used by all features. When the per-feature
* thresholds are not set, this field can be used to specify a threshold for
* all features.
*
* @param GoogleCloudAiplatformV1ThresholdConfig $defaultSkewThreshold
*/
public function setDefaultSkewThreshold(GoogleCloudAiplatformV1ThresholdConfig $defaultSkewThreshold)
{
$this->defaultSkewThreshold = $defaultSkewThreshold;
}
/**
* @return GoogleCloudAiplatformV1ThresholdConfig
*/
public function getDefaultSkewThreshold()
{
return $this->defaultSkewThreshold;
}
/**
* Key is the feature name and value is the threshold. If a feature needs to
* be monitored for skew, a value threshold must be configured for that
* feature. The threshold here is against feature distribution distance
* between the training and prediction feature.
*
* @param GoogleCloudAiplatformV1ThresholdConfig[] $skewThresholds
*/
public function setSkewThresholds($skewThresholds)
{
$this->skewThresholds = $skewThresholds;
}
/**
* @return GoogleCloudAiplatformV1ThresholdConfig[]
*/
public function getSkewThresholds()
{
return $this->skewThresholds;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig');