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azure.ai.ml.entities.NumericalDriftMetrics.yml
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azure.ai.ml.entities.NumericalDriftMetrics.yml
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### YamlMime:PythonClass
uid: azure.ai.ml.entities.NumericalDriftMetrics
name: NumericalDriftMetrics
fullName: azure.ai.ml.entities.NumericalDriftMetrics
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: Numerical Drift Metrics
constructor:
syntax: '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: jensen_shannon_distance
description: The Jensen-Shannon distance between the two distributions
isRequired: true
- name: normalized_wasserstein_distance
description: The normalized Wasserstein distance between the two distributions
isRequired: true
- name: population_stability_index
description: The population stability index between the two distributions
isRequired: true
- name: two_sample_kolmogorov_smirnov_test
description: The two sample Kolmogorov-Smirnov test between the two distributions
isRequired: true
keywordOnlyParameters:
- name: jensen_shannon_distance
isRequired: true
- name: normalized_wasserstein_distance
isRequired: true
- name: population_stability_index
isRequired: true
- name: two_sample_kolmogorov_smirnov_test
isRequired: true
- name: metric
isRequired: true
- name: metric_threshold
isRequired: true