AttributeError: 'RandomForestClassifier' object has no attribute 'fit_transform'
15,368
There's no such method in the scikit-learn API documentation
To train your model and get predictions, you need to do like this
rf = RandomForestClassifier()
# train the model
rf.fit(X_train, y_train)
# get predictions
predictions = rf.predict(X_test)
Author by
Admin
Updated on July 18, 2022Comments
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Admin almost 2 years
I am getting an error
AttributeError: 'RandomForestClassifier' object has no attribute 'fit_transform'
However, there is a method named fit_transform(X,y) in sklearn.ensemble.RandomForestClassifier. This can be seen here I don't understand why I am getting this error and how do I resolve it. Here is the code snippet-
from sklearn.ensemble import RandomForestClassifier import pickle import sys import numpy as np X1=np.array(pickle.load(open('X2g_train.p','rb'))) X2=np.array(pickle.load(open('X3g_train.p','rb'))) X3=np.array(pickle.load(open('X4g_train.p','rb'))) X4=np.array(pickle.load(open('Xhead_train.p','rb'))) X=np.hstack((X2,X1,X3,X4)) y = np.array(pickle.load(open('y.p','rb'))) rf=RandomForestClassifier(n_estimators=200) Xr=rf.fit_transform(X,y)