NumericalDriftMetrics Class
Numerical Drift Metrics
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
|
Default value: None
|
normalized_wasserstein_distance
|
Default value: None
|
population_stability_index
|
Default value: None
|
two_sample_kolmogorov_smirnov_test
|
Default value: None
|
metric
|
Default value: None
|
metric_threshold
|
Default value: None
|
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Azure SDK for Python