I am trying to use it on (5000, 3009) shape dataset in jupyter notebook. Jupyter kernel gets failed, although its working fine with sklearn svm.SVC method.
Any quick solution?
#### This code not working ####
start = time. time()
clf = SVC(kernel='linear')
clf.fit(X_train, Y_train)
end = time. time()
print(end-start)
#### This code working fine ####
start = time. time()
clf = svm.SVC(kernel='linear')
clf.fit(X_train, Y_train)
end = time. time()
print(end-start)
Actually, my overall data set is very large. Its shape is around (150000, 3009). So I am looking if your package can provide better performance.
I am trying to use it on (5000, 3009) shape dataset in jupyter notebook. Jupyter kernel gets failed, although its working fine with sklearn svm.SVC method. Any quick solution?
Actually, my overall data set is very large. Its shape is around (150000, 3009). So I am looking if your package can provide better performance.
Regards, Ankit Aggarwal