I have been coding on ML via Scikit-learn from few months. but a update has came on scikit object of preprocessing which is OneHotEncoder. here was a parameter categorical_features which is now changed to categories and now i am not understanding how to writes is values
The code which I am writing is :
from sklearn.preprocessing import LabelEncoder , OneHotEncoder
le = LabelEncoder()
X[:,0] = le.fit_transform(X[:,0])
ohe = OneHotEncoder(categories = X[:,0].all())
X = ohe.fit_transform(X).toarray()
and is showing this error
runcell(0, 'C:/Mobile Videos/OPencv/opencv-master/samples/data/untitled2.py') Traceback (most recent call last):
File "C:\Mobile Videos\OPencv\opencv-master\samples\data\untitled2.py", line 25, in X = ohe.fit_transform(X).toarray()
File "C:\Users\Harshit\Anaconda3\lib\site-packages\sklearn\preprocessing_encoders.py", line 372, in fit_transform return super().fit_transform(X, y)
File "C:\Users\Harshit\Anaconda3\lib\site-packages\sklearn\base.py", line 571, in fit_transform *return self.fit(X, **fit_params).transform(X)*
File "C:\Users\Harshit\Anaconda3\lib\site-packages\sklearn\preprocessing_encoders.py", line 347, in fit self._fit(X, handle_unknown=self.handle_unknown)
File "C:\Users\Harshit\Anaconda3\lib\site-packages\sklearn\preprocessing_encoders.py", line 77, in _fit if len(self.categories) != n_features:
TypeError: object of type 'int' has no len()
And if I am making the parameter auto then it is changing the whole data set into code like while changing the Label to code
Could you please help me out from this problem?????
