def __init__(self, D, target_log_pdf, n, kernel_sigma, step_size, gamma2=0.1, schedule=None, acc_star=0.234):
StaticMetropolis.__init__(self, D, target_log_pdf, step_size, schedule, acc_star)
self.n = n
self.kernel_sigma = kernel_sigma
self.gamma2 = gamma2
self.Z = np.zeros((0, D))
def __init__(self, D, target_log_pdf, grad, step_size, schedule=None, acc_star=None):
StaticMetropolis.__init__(self, D, target_log_pdf, step_size, schedule, acc_star)
self.grad = grad
# members hidden from constructor
self.manual_gradient_step_size = None
self.do_preconditioning = False
self.forward_drift_norms = []
def __init__(self,
D,
target_log_pdf,
grad,
step_size,
schedule=None,
acc_star=None):
StaticMetropolis.__init__(self, D, target_log_pdf, step_size, schedule,
acc_star)
self.grad = grad
# members hidden from constructor
self.manual_gradient_step_size = None
self.do_preconditioning = False
self.forward_drift_norms = []
def __init__(self,
D,
target_log_pdf,
n,
kernel_sigma,
step_size,
gamma2=0.1,
schedule=None,
acc_star=0.234):
StaticMetropolis.__init__(self, D, target_log_pdf, step_size, schedule,
acc_star)
self.n = n
self.kernel_sigma = kernel_sigma
self.gamma2 = gamma2
self.Z = np.zeros((0, D))
