a8d354aa3f1d796ebfcf41586af1eb925f229ecc,src/skmultiflow/lazy/knn_adwin.py,KNNADWINClassifier,partial_fit,#KNNADWINClassifier#,114

Before Change

            self.window = InstanceWindow(max_size=self.max_window_size)

        for i in range(r):
            self.window.add_element(np.asarray([X[i]]), np.asarray([[y[i]]]))
            if self.window.n_samples >= self.n_neighbors:
                add = 1 if self.predict(np.asarray([X[i]])) == y[i] else 0
                self.adwin.add_element(add)

After Change

        
        r, c = get_dimensions(X)
        if classes is not None:
            self.classes = list(set().union(self.classes, classes))

        for i in range(r):
            self.data_window.add_sample(X[i], y[i])
            if self.data_window.size >= self.n_neighbors:

Instances