Kernel density calssification prediction based on KDE of each class x (np.array): Test data of shape [n_features] gamma: gaussian width from which to sample in KDE Returns: float: Returns predicted class of test data x Raises: ValueError if mod
(self, x, gamma)
source not stored for this graph (policy: none)