CVMTest

class frouros.detectors.data_drift.batch.statistical_test.CVMTest(callbacks: Optional[Union[BaseCallbackBatch, List[BaseCallbackBatch]]] = None)

CVMTest (Cramér-von Mises test) [cramer1928composition] detector.

References:

[cramer1928composition]

Cramér, Harald. “On the composition of elementary errors: First paper: Mathematical deductions.” Scandinavian Actuarial Journal 1928.1 (1928): 13-74.

property X_ref: Optional[ndarray]

Reference data property.

Returns:

reference data

Return type:

Optional[numpy.ndarray]

property callbacks: Optional[List[BaseCallback]]

Callbacks property.

Returns:

callbacks

Return type:

Optional[List[BaseCallback]]

compare(X: ndarray, **kwargs) → Tuple[ndarray, Dict[str, Any]]

Compare values.

Parameters:

X (numpy.ndarray) – feature data

Returns:

compare result and callbacks logs

Return type:

Tuple[numpy.ndarray, Dict[str, Any]]

property data_type: BaseDataType

Data type property.

Returns:

data type

Return type:

BaseDataType

fit(X: ndarray, **kwargs) → Dict[str, Any]

Fit detector.

Parameters:

X (numpy.ndarray) – feature data

Returns:

callbacks logs

Return type:

Dict[str, Any]

reset() → None

Reset method.

property statistical_type: BaseStatisticalType

Statistical type property.

Returns:

statistical type

Return type:

BaseStatisticalType