I am using python sklearn's one-class svm classifier for anomaly detection. I would like to know can I accurately calculate the required value for nu and gamma for rbf kernel. Is there any equation or theory to calculate nu and gamma according to dataset?
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No, there is not. An informed choice can be given by properly cross-validated fine tuning.
