PreprocWrapper Class

Normalizes rows of an input matrix. Supports sparse matrices.

Initialize PreprocWrapper class.

Inheritance

sklearn.base.TransformerMixin

PreprocWrapper

azureml.training.tabular.models._abstract_model_wrapper._AbstractModelWrapper

PreprocWrapper

Constructor

PreprocWrapper(cls, module_name=None, class_name=None, **kwargs)

Parameters

cls

Required

kwargs

Required

module_name

default value: None

class_name

default value: None

Methods

fit	Fit function for PreprocWrapper.
get_model	Return wrapper model.
get_params	Return parameters for PreprocWrapper.
inverse_transform	Inverse transform function for PreprocWrapper.
transform	Transform function for PreprocWrapper.

fit

Fit function for PreprocWrapper.

fit(X, y=None)

Parameters

X

ndarray or <xref:scipy.sparse.spmatrix>

Required

Input data.

y

ndarray

default value: None

Ignored.

Returns

Returns an instance of self.

get_model

Return wrapper model.

get_model()

Returns

wrapper model

get_params

Return parameters for PreprocWrapper.

get_params(deep=True)

Parameters

deep

bool

default value: True

If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

Parameters for PreprocWrapper.

inverse_transform

Inverse transform function for PreprocWrapper.

inverse_transform(X)

Parameters

X

ndarray or <xref:scipy.sparse.spmatrix>

Required

New data.

Returns

Inverse transformed data.

transform

Transform function for PreprocWrapper.

transform(X)

Parameters

X

ndarray or <xref:scipy.sparse.spmatrix>

Required

Input data.

Returns

Transformed output of inner model.