I am trying to train the one-class SVM.
According to libSVM
Q: How do I choose parameters for one-class SVM as training data are in only
one class?
You have pre-specified true positive rate in mind and then search for
parameters which achieve similar cross-validation accuracy.
But the one-class SVM does not take the labels as an input, as it only works on
X_train.
1. So how should cross-validation be performed, assuming the number of
samples with label '1' is extremely limited.
2. And what if there is none?
Thanks,
------------------------------------------------------------------------------
Slashdot TV.
Video for Nerds. Stuff that matters.
http://tv.slashdot.org/
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
