ModelEvaluation_BiasConfig class

ModelEvaluation_BiasConfig class final

Configuration for bias detection.

Inheritance

Constructors

ModelEvaluation_BiasConfig({ModelEvaluationSlice_Slice_SliceSpec? biasSlices, List<String> labels = const []})
ModelEvaluation_BiasConfig.fromJson(Object? j): factory

biasSlices → ModelEvaluationSlice_Slice_SliceSpec?: Specification for how the data should be sliced for bias. It contains a list of slices, with limitation of two slices. The first slice of data will be the slice_a. The second slice in the list (slice_b) will be compared against the first slice. If only a single slice is provided, then slice_a will be compared against "not slice_a". Below are examples with feature "education" with value "low", "medium", "high" in the dataset:
final
hashCode → int: The hash code for this object.
no setterinherited
labels → List<String>: Positive labels selection on the target field.
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override