Example #1
0
 def loss(self, args, X):
     if type(args) is not list:
         args = args_from_vector(args, self.params)
     # Reshape theta -> args
     args += [X]
     # Compute gradient from args
     loss = self._loss(*args)
     return loss
Example #2
0
 def f_df(self, args, X):
     if type(args) is not list:
         args = args_from_vector(args, self.params)
     args += [X]
     # Compute gradient from args
     #grad = vector_from_args(self.grads(*args))
     grad = self.grads(*args)
     loss = self._loss(*args)
     return loss,grad
Example #3
0
 def get_weights(self, theta):
     args = args_from_vector(theta, self.params)
     for arg in args:
         if arg.ndim == 2:
             return arg
Example #4
0
 def get_args(self, theta):
     args = args_from_vector(theta, self.params)
     return args
Example #5
0
File: cae.py Project: poolio/cae.py
 def set_params(self, theta):
     params = args_from_vector(theta, [self.W, self.hidbias, self.visbias])
     self.W = params[0]
     self.hidbias = params[1]
     self.visbias = params[2]