def __init__(self, gamma=1.0, n_components=100, random_state=None, minibatch_size=128, max_iter=1000, n_pass=1, tol=1e-8, alpha=10., lbda=0., verbose=False, update_b=True, philippe_update=False): RBFSampler.__init__(self, gamma=gamma, n_components=n_components, random_state=random_state) self.minibatch_size = minibatch_size self.max_iter = max_iter self.n_pass = n_pass self.tol = tol self.alphaN = alpha self.lbda = lbda self.verbose = verbose self.update_b = update_b self.philippe_update = philippe_update
def __init__(self, gamma=1.0, n_components=100, random_state=None, minibatch_size=128, max_iter=1000, n_pass=1, tol=1e-8, alpha=10., lbda=0., verbose=False, update_b=True): RBFSampler.__init__(self, gamma=gamma, n_components=n_components, random_state=random_state) self.verbose = verbose self.update_b = update_b self.intial_loss = 0.0 self.end_loss = 0.0 self.n_components = n_components self.gamma = gamma