scikit-lean GridSearchCV n_jobs != 1 freezing

Question

I\'m running grid search on random forests and trying to use n_jobs different than one but the kernel freezes, there is no CPU usage. With n_jobs=1 it works fine. I can\'t e

Answer 1

The indent after if __name__ == '__main__': is not correct. If it's not the case and it's a copy paste mistake then you can try something like :

if __name__ =='main':
    # your code indented !

So the first line of your script is if __name__ == '__main__': and then the rest code follows with the appropriate indent.

New Code

from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import Pipeline    

if __name__ == '__main__':

    rf_tfdidf = Pipeline([('vect',tfidf),('clf', RandomForestClassifier(n_estimators=50,class_weight='balanced_subsample'))])

    param_grid = [{'vect__ngram_range':[(1,1)],'vect__stop_words': [stop],'vect__tokenizer':[tokenizer]}]

    gs_rf_tfidf = GridSearchCV(rf_tfdidf, param_grid, scoring='accuracy', cv=5,verbose=10, n_jobs=-1)

    gs_rf_tfidf.fit(X_train_part, y_train_part)

This works fine for me (windows 8.1)

EDIT

The following works fine using PyCharm. I have not used spyder but it should also work for spyder:

Code

Class Test(object):
    def __init__(self):
        ###code here
        ###code here    

if __name__ == '__main__':
    Test()