84cd78bfa60bff9526c1010cd55cea61e9567d7f,pyod/models/sod.py,SOD,_snn,#SOD#Any#,148

Before Change

        for i in range(ind.shape[0]):
            temp = np.sum(np.isin(ind, ind[i]), axis=1).ravel()
            temp[i] = np.iinfo(np.uint16).max
            _count[i] = np.argsort(temp)[::-1][1:self.ref_set_ + 1]

        return _count

    def _sod(self, X):

After Change

        knn.fit(X)
        // Get the knn index
        ind = knn.kneighbors(return_distance=False)
        return _snn_imp(ind, self.ref_set_)

    def _sod(self, X):
        This function is called internally to perform subspace outlier 
        detection algorithm.

Instances