Class FeatureAttributionSpec (1.53.0)

Version latest

• 1.53.0 (latest)
• 1.52.0
• 1.51.0
• 1.50.0
• 1.49.0
• 1.48.0
• 1.47.0
• 1.46.0
• 1.45.0
• 1.44.0
• 1.43.0
• 1.39.0
• 1.38.1
• 1.37.0
• 1.36.4
• 1.35.0
• 1.34.0
• 1.33.1
• 1.32.0
• 1.31.1
• 1.30.1
• 1.29.0
• 1.28.1
• 1.27.1
• 1.26.1
• 1.25.0
• 1.24.1
• 1.23.0
• 1.22.1
• 1.21.0
• 1.20.0
• 1.19.1
• 1.18.3
• 1.17.1
• 1.16.1
• 1.15.1
• 1.14.0
• 1.13.1
• 1.12.1
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.1
• 1.7.1
• 1.6.2
• 1.5.0
• 1.4.3
• 1.3.0
• 1.2.0
• 1.1.1
• 1.0.1
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.1
• 0.4.0
• 0.3.1

FeatureAttributionSpec(
    features: typing.Optional[typing.List[str]] = None,
    default_alert_threshold: typing.Optional[float] = None,
    feature_alert_thresholds: typing.Optional[typing.Dict[str, float]] = None,
    batch_dedicated_resources: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.machine_resources.BatchDedicatedResources
    ] = None,
)

Feature attribution spec.

.. rubric:: Example

feature_attribution_spec=FeatureAttributionSpec( features=["feature1"] default_alert_threshold=0.01, feature_alert_thresholds={"feature1":0.02, "feature2":0.01}, batch_dedicated_resources=BatchDedicatedResources( starting_replica_count=1, max_replica_count=2, machine_spec=my_machine_spec, ), )

Attributes
Name	Description
features	List[str] Optional. Input feature names interested in monitoring. These should be a subset of the input feature names specified in the monitoring schema. If not specified, all features outlied in the monitoring schema will be used.
default_alert_threshold	float Optional. Default alert threshold for all the features.
feature_alert_thresholds	Dict[str, float] Optional. Per feature alert threshold will override default alert threshold.
batch_dedicated_resources	machine_resources.BatchDedicatedResources Optional. The config of resources used by the Model Monitoring during the batch explanation for non-AutoML models. If not set, n1-standard-2 machine type will be used by default.