`qolmat.imputations.preprocessing`.WrapperTransformer¶

class qolmat.imputations.preprocessing.WrapperTransformer(transformer: TransformerMixin, wrapper: TransformerMixin)[source]¶

Wrap a transformer.

Wrapper with reversible transformers designed to embed the data.

__init__(transformer: TransformerMixin, wrapper: TransformerMixin)[source]¶

fit(X: ndarray[tuple[int, ...], dtype[_ScalarType_co]], y: Optional[ndarray[tuple[int, ...], dtype[_ScalarType_co]]] = None) → WrapperTransformer[source]¶

Fit the model according to the given training data.

Parameters

XNDArray: Input array.
yOptional[NDArray], optional: _description_, by default None

Returns

Self: The object itself.

fit_transform(X: ndarray[tuple[int, ...], dtype[_ScalarType_co]]) → ndarray[tuple[int, ...], dtype[_ScalarType_co]][source]¶

Fit the model according to the given training data and transform it.

Parameters

XNDArray: Input array.

Returns

NDArray: Transformed array.

transform(X: ndarray[tuple[int, ...], dtype[_ScalarType_co]]) → ndarray[tuple[int, ...], dtype[_ScalarType_co]][source]¶

Transform X.

Parameters

XNDArray: Input array.

Returns

NDArray: Transformed array.

Examples using `qolmat.imputations.preprocessing.WrapperTransformer`¶

Benchmark for categorical data

Benchmark for categorical data