google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
*/
class PredictionDriftDetectionConfig extends \Google\Protobuf\Internal\Message
{
/**
* Key is the feature name and value is the threshold. If a feature needs to
* be monitored for drift, a value threshold must be configured for that
* feature. The threshold here is against feature distribution distance
* between different time windws.
*
* Generated from protobuf field map drift_thresholds = 1;
*/
private $drift_thresholds;
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between different time windows.
*
* Generated from protobuf field map attribution_score_drift_thresholds = 2;
*/
private $attribution_score_drift_thresholds;
/**
* Drift 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_drift_threshold = 5;
*/
private $default_drift_threshold = null;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type array|\Google\Protobuf\Internal\MapField $drift_thresholds
* Key is the feature name and value is the threshold. If a feature needs to
* be monitored for drift, a value threshold must be configured for that
* feature. The threshold here is against feature distribution distance
* between different time windws.
* @type array|\Google\Protobuf\Internal\MapField $attribution_score_drift_thresholds
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between different time windows.
* @type \Google\Cloud\AIPlatform\V1\ThresholdConfig $default_drift_threshold
* Drift anomaly detection threshold used by all features.
* When the per-feature thresholds are not set, this field can be used to
* specify a threshold for all features.
* }
*/
public function __construct($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 drift, a value threshold must be configured for that
* feature. The threshold here is against feature distribution distance
* between different time windws.
*
* Generated from protobuf field map drift_thresholds = 1;
* @return \Google\Protobuf\Internal\MapField
*/
public function getDriftThresholds()
{
return $this->drift_thresholds;
}
/**
* Key is the feature name and value is the threshold. If a feature needs to
* be monitored for drift, a value threshold must be configured for that
* feature. The threshold here is against feature distribution distance
* between different time windws.
*
* Generated from protobuf field map drift_thresholds = 1;
* @param array|\Google\Protobuf\Internal\MapField $var
* @return $this
*/
public function setDriftThresholds($var)
{
$arr = GPBUtil::checkMapField($var, \Google\Protobuf\Internal\GPBType::STRING, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->drift_thresholds = $arr;
return $this;
}
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between different time windows.
*
* Generated from protobuf field map attribution_score_drift_thresholds = 2;
* @return \Google\Protobuf\Internal\MapField
*/
public function getAttributionScoreDriftThresholds()
{
return $this->attribution_score_drift_thresholds;
}
/**
* Key is the feature name and value is the threshold. The threshold here is
* against attribution score distance between different time windows.
*
* Generated from protobuf field map attribution_score_drift_thresholds = 2;
* @param array|\Google\Protobuf\Internal\MapField $var
* @return $this
*/
public function setAttributionScoreDriftThresholds($var)
{
$arr = GPBUtil::checkMapField($var, \Google\Protobuf\Internal\GPBType::STRING, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->attribution_score_drift_thresholds = $arr;
return $this;
}
/**
* Drift 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_drift_threshold = 5;
* @return \Google\Cloud\AIPlatform\V1\ThresholdConfig|null
*/
public function getDefaultDriftThreshold()
{
return $this->default_drift_threshold;
}
public function hasDefaultDriftThreshold()
{
return isset($this->default_drift_threshold);
}
public function clearDefaultDriftThreshold()
{
unset($this->default_drift_threshold);
}
/**
* Drift 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_drift_threshold = 5;
* @param \Google\Cloud\AIPlatform\V1\ThresholdConfig $var
* @return $this
*/
public function setDefaultDriftThreshold($var)
{
GPBUtil::checkMessage($var, \Google\Cloud\AIPlatform\V1\ThresholdConfig::class);
$this->default_drift_threshold = $var;
return $this;
}
}