CODEWITHSUNDEEP
pythonpython-3.xmachine-learningattributeerrorimblearn
user12088653
user12088653

Reputation:

AttributeError: 'SMOTE' object has no attribute 'fit_sample'

Why I am getting the error

AttributeError: 'SMOTE' object has no attribute 'fit_sample'

I don't think this code should cause any error?

from imblearn.over_sampling import SMOTE
smt = SMOTE(random_state=0)
X_train_SMOTE, y_train_SMOTE = smt.fit_sample(X_train, y_train)

Upvotes: 33

Views: 64472

Answers (3)

Scar X
Scar X

Reputation: 11

Another way

from imblearn.combine import SMOTEENN

Sm=SMOTEENN()
X, y=Sm.fit_resample(X, y)

Upvotes: 1

cottontail
cottontail

Reputation: 23171

It used to be fit_sample but was renamed fit_resample with an alias for backward compatibility in imblearn 0.4 (this was documented). Then the alias was removed in version 0.8 (for some reason it was not documented). In short, SMOTE().fit_sample(X_train, y_train) used to work but not anymore.

Now only SMOTE().fit_resample(X_train, y_train) works.

Also, all imblearn objects have a fit() method defined as well but it's completely useless because everything it does is already done by fit_resample() anyway (the documentation even urges you to use fit_resample() over fit()).

Upvotes: 0

Subbu VidyaSekar
Subbu VidyaSekar

Reputation: 2615

If you import like this

from imblearn.over_sampling import SMOTE

you need to do fit_resample()

oversample = SMOTE()
X, y = oversample.fit_resample(X, y)

Upvotes: 50

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