/Python/Sklearn labelbinarizer in pipeline

Sklearn labelbinarizer in pipeline

from sklearn.preprocessing import LabelBinarizer

class LabelBinarizerPipelineFriendly(LabelBinarizer):
    def fit(self, X, y=None):
        """this would allow us to fit the model based on the X input."""
        super(LabelBinarizerPipelineFriendly,self).fit(X)
    def transform(self, X, y=None):
        return super(LabelBinarizerPipelineFriendly, self).transform(X)
    def fit_transform(self, X, y=None):
        return super(LabelBinarizerPipelineFriendly, self).fit(X).transform(X)

Source: github.com

Similar codes

-1 vote321 views1 answer
Python import from string
Python
3 votes266 views1 answer
Python question mark operator
Python
1 vote290 views1 answer
Python cmath constants
Python
142 votes351 views6 answers
While loop python
Python
1 vote324 views1 answer
Django return only part of string
Python Django
0 vote310 views1 answer
Python use numphy
Python
29 votes307 views3 answers
Django admin create project
Python
0 vote335 views1 answer
Adam optimizer keras learning rate degrade
Python
0 vote322 views1 answer
Separate path python
Python
3 votes325 views4 answers
Python list group by count
Python