google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
*/
class TrainingPredictionSkewDetectionConfig extends \Google\Protobuf\Internal\Message
{
/**
* 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.
*
* Generated from protobuf field map skew_thresholds = 1;
*/
private $skew_thresholds;
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between the training and prediction
* feature.
*
* Generated from protobuf field map attribution_score_skew_thresholds = 2;
*/
private $attribution_score_skew_thresholds;
/**
* 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.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
*/
private $default_skew_threshold = null;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type array|\Google\Protobuf\Internal\MapField $skew_thresholds
* 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.
* @type array|\Google\Protobuf\Internal\MapField $attribution_score_skew_thresholds
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between the training and prediction
* feature.
* @type \Google\Cloud\AIPlatform\V1\ThresholdConfig $default_skew_threshold
* Skew anomaly detection threshold used by all features.
* When the per-feature thresholds are not set, this field can be used to
* specify a threshold for all features.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Aiplatform\V1\ModelMonitoring::initOnce();
parent::__construct($data);
}
/**
* 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.
*
* Generated from protobuf field map skew_thresholds = 1;
* @return \Google\Protobuf\Internal\MapField
*/
public function getSkewThresholds()
{
return $this->skew_thresholds;
}
/**
* 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.
*
* Generated from protobuf field map skew_thresholds = 1;
* @param array|\Google\Protobuf\Internal\MapField $var
* @return $this
*/
public function setSkewThresholds($var)
{
$arr = GPBUtil::checkMapField($var, \Google\Protobuf\Internal\GPBType::STRING, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->skew_thresholds = $arr;
return $this;
}
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between the training and prediction
* feature.
*
* Generated from protobuf field map attribution_score_skew_thresholds = 2;
* @return \Google\Protobuf\Internal\MapField
*/
public function getAttributionScoreSkewThresholds()
{
return $this->attribution_score_skew_thresholds;
}
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between the training and prediction
* feature.
*
* Generated from protobuf field map attribution_score_skew_thresholds = 2;
* @param array|\Google\Protobuf\Internal\MapField $var
* @return $this
*/
public function setAttributionScoreSkewThresholds($var)
{
$arr = GPBUtil::checkMapField($var, \Google\Protobuf\Internal\GPBType::STRING, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->attribution_score_skew_thresholds = $arr;
return $this;
}
/**
* 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.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
* @return \Google\Cloud\AIPlatform\V1\ThresholdConfig|null
*/
public function getDefaultSkewThreshold()
{
return $this->default_skew_threshold;
}
public function hasDefaultSkewThreshold()
{
return isset($this->default_skew_threshold);
}
public function clearDefaultSkewThreshold()
{
unset($this->default_skew_threshold);
}
/**
* 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.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
* @param \Google\Cloud\AIPlatform\V1\ThresholdConfig $var
* @return $this
*/
public function setDefaultSkewThreshold($var)
{
GPBUtil::checkMessage($var, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->default_skew_threshold = $var;
return $this;
}
}