41e44f86351cee490fea0bb728a3e0eb1e7670f2,pyod/models/ocsvm.py,OCSVM,fit,#OCSVM#Any#Any#Any#,110

Before Change

    def fit(self, X, y=None, sample_weight=None, **params):
        self.classes_ = 2  // default as binary classification
        if y is not None:
            check_classification_targets(y)
            self.classes_ = len(np.unique(y))
            warnings.warn(
                "y should not be presented in unsupervised learning.")

        self.detector_ = OneClassSVM(kernel=self.kernel,
                                     degree=self.degree,
                                     gamma=self.gamma,
                                     coef0=self.coef0,

After Change

    def fit(self, X, y=None, sample_weight=None, **params):
        // Validate inputs X and y (optional)
        X = check_array(X)
        self._set_n_classes(y)

        self.detector_ = OneClassSVM(kernel=self.kernel,
                                     degree=self.degree,

Instances