ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig class final
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
Constructors
-
ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig({Map<
String, ThresholdConfig> skewThresholds = const {}, Map<String, ThresholdConfig> attributionScoreSkewThresholds = const {}, ThresholdConfig? defaultSkewThreshold}) - ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.fromJson(Object? j)
-
factory
Properties
-
attributionScoreSkewThresholds
→ Map<
String, ThresholdConfig> -
Key is the feature name and value is the threshold. The threshold here is
against attribution score distance between the training and prediction
feature.
final
- defaultSkewThreshold → ThresholdConfig?
-
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.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- qualifiedName → String
-
The fully qualified name of this message, i.e.,
google.protobuf.Durationorgoogle.rpc.ErrorInfo.finalinherited - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
skewThresholds
→ Map<
String, ThresholdConfig> -
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.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Object -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String