scikit learn - Sklearn OneClassSVM can not handle large data sets(0xC0000005) -


i using oneclasssvm outlier detection.

clf = svm.oneclasssvm(kernel='rbf', nu=k, tol=0.001) clf.fit(train_x) 

however encountered following error. process finished exit code -1073741819 (0xc0000005)

the data size around 20mb(train_x), not big me. memory of computer 8gb. if reduce file size, worked. , behavior inconsistent. worked , did not work otherwise.

has 1 had problem before?

thanks!


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