/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

178 votes295 views6 answers
Read file python
Python
0 vote187 views1 answer
Rqg3
Python
12 votes194 views6 answers
Tkinter
Python
0 vote206 views1 answer
Isprime lambda python
Python
0 vote253 views1 answer
Django test imagefield
Python
6 votes257 views1 answer
Axis number size matplotlib
Python
0 vote203 views1 answer
Pyspark lit column
Python
1 vote187 views1 answer
Selenium api
Python
0 vote267 views1 answer
Python how to reversetty.setraw(sys.stdin)
Python
0 vote194 views1 answer
Matplotlib different number of subplots
Python