I am following the example shown in __http://scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html#example-svm-plot-oneclass-py__, where a one class SVM is used for anomaly detection. Now, this may be a notation unique to scikit-learn, but I couldn't find an explanation of how to use the parameter nu given to the OneClassSVM constructor.

In __http://scikit-learn.org/stable/modules/svm.html#nusvc__, it is stated that the parameter nu is a reparametrization of the parameter C (which is the regularization parameter which I am familiar with) - but doesn't state how to perform that reparameterization.

Both formula and intuition will be much appreciated.

Thanks!