FunctionTransformer

class ibex.sklearn.preprocessing.FunctionTransformer(func=None, in_cols=None, out_cols=None, pass_y=None, kw_args=None)

Bases: sklearn.base.BaseEstimator, sklearn.base.TransformerMixin, ibex._base.FrameMixin

Transforms using a function.

Parameters:

• func –

  One of:

  • None
  • a callable
  • a step
• in_cols –

  One of:

  • None
  • a string
  • a list of strings
• out_cols –
• pass_y – Boolean indicating whether to pass the y argument to
• kw_args – Keyword arguments.

Returns:

An sklearn.preprocessing.FunctionTransformer object.

fit(X, y=None)

Fits the transformer using X (and possibly y).

Returns:self

fit_transform(X, y=None)

Fits the transformer using X (and possibly y), and transforms, in one step if possible

Returns:Transformed data.

transform(X, y=None)

Returns:Transformed data.