/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 vote123 views1 answer
How do you print multiple things on one statement in Python?
Python
0 vote136 views3 answers
How to print a text in python
Python
0 vote157 views1 answer
Convert images to JPEG
Python
0 vote123 views1 answer
Python get city name from IP
Python
0 vote152 views1 answer
Using strip() method to remove the newline character from a string
Python
0 vote156 views1 answer
Extract area code from phone number python
Python
0 vote127 views1 answer
_getfullpathname: path should be string, bytes or os.PathLike, not list
Python
92 votes134 views6 answers
While loops python
Python
0 vote127 views1 answer
How to make a new column with explode pyspark
Python
2 votes134 views6 answers
Scikit learn
Python