NumericalDriftMetrics Class

Numerical Drift Metrics

Inheritance

azure.ai.ml.entities._mixins.RestTranslatableMixin

NumericalDriftMetrics

Constructor

NumericalDriftMetrics(*, jensen_shannon_distance: float | None = None, normalized_wasserstein_distance: float | None = None, population_stability_index: float | None = None, two_sample_kolmogorov_smirnov_test: float | None = None, metric: str | None = None, metric_threshold: float | None = None)

Parameters

Name	Description
jensen_shannon_distance Required	The Jensen-Shannon distance between the two distributions
normalized_wasserstein_distance Required	The normalized Wasserstein distance between the two distributions
population_stability_index Required	The population stability index between the two distributions
two_sample_kolmogorov_smirnov_test Required	The two sample Kolmogorov-Smirnov test between the two distributions

Keyword-Only Parameters

Name	Description
jensen_shannon_distance Required
normalized_wasserstein_distance Required
population_stability_index Required
two_sample_kolmogorov_smirnov_test Required
metric Required
metric_threshold Required