Loading AdaBoostClassifier

Asked Jun 22 '16 at 09:53

Active Jun 22 '16 at 09:53

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classifier = AdaBoostClassifier(n_estimators=100, learning_rate=1.0, algorithm='SAMME.R')
try:
    classifier = joblib.load("final_model_Ada1.pkl")
    print "using trained model"
except:
    print "building new model"
    classifier.fit(X_train, y_train)
    joblib.dump(classifier, 'final_model_Ada1.pkl')

I wrote the above script for training an AdaBoostClassifier on some data.The pkl file is being formed the first time.But when I run the script again the model is being trained again and the previous model is not being picked up.I did the same thing for Linear SVC and that is working.Is there any other way to save an AdaBoostClassifier?

asked Jun 22 '16 at 09:53

akshita007

What is the exception that you are getting? Can you print that out? – Abhinav Arora Jun 23 '16 at 23:25
There is no exception coming,a new model is being trained every time the script is run. – akshita007 Jun 27 '16 at 04:44
The fact that a new model is being trained every time means that your code is going in the `except` block. It goes in the `except` block because of an exception. Could you please print out that exception. – Abhinav Arora Jun 27 '16 at 06:15
Did not recognise loaded array layout is the exception message – akshita007 Jun 30 '16 at 05:10

Loading AdaBoostClassifier

0 Answers0