Transformer Functions¶
A collection of functions which can be referenced within the
sklearn.preprocessing.FunctionTransformer transformer.
General¶
Functions to be used within sklearn’s FunctionTransformer https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html
Each function SHALL take an X, and optionally a y.
Functions CAN take additional arguments which should be given during the initialization of the FunctionTransformer
Example:
>>> from sklearn.preprocessing import FunctionTransformer
>>> import numpy as np
>>> def my_function(X, another_arg):
... # Some fancy X manipulation...
... return X
>>> transformer = FunctionTransformer(func=my_function, kw_args={'another_arg': 'this thing'})
>>> out = transformer.fit_transform(np.random.random(100).reshape(10, 10))