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NumericalDriftMetrics Class

  • Reference

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