dataeval.shift.DriftUnivariate.Stats¶

class dataeval.shift.DriftUnivariate.Stats¶

Per-feature statistics from univariate drift detection.

p_val¶

Mean p-value across all features, between 0 and 1.

Type:¶

float

feature_drift¶

Boolean array indicating which features show drift. Shape matches the number of features in the input data.

Type:¶

NDArray[bool]

feature_threshold¶

Uncorrected p-value threshold used for individual feature testing. Typically the original p_val before multivariate correction.

Type:¶

float

p_vals¶

P-values for each feature, all values between 0 and 1. Shape matches the number of features in the input data.

Type:¶

NDArray[np.float32]

distances¶

Test statistics for each feature, all values >= 0. Shape matches the number of features in the input data.

Type:¶

NDArray[np.float32]