def _instance_initialize(self, obj, input_size = None, target_size = None,
seed = 1827, **init):
# obj is an "instance" of this module holding values for each member and
# functions for each method
if input_size and target_size:
# initialize w and b in a special way using input_size and target_size
sz = (input_size, target_size)
rng = N.random.RandomState(seed)
obj.w = rng.uniform(size = sz, low = -0.5, high = 0.5)
obj.b = N.zeros(target_size)
obj.stepsize = 0.01
# here we call the default_initialize method, which takes all the name: value
# pairs in init and sets the property with that name to the provided value
# this covers setting stepsize, l2_coef; w and b can be set that way too
# we call it after as we want the parameter to superseed the default value.
M.default_initialize(obj,**init)
def _instance_initialize(self, obj, input_size = None, target_size = None,
seed = 1827, **init):
# obj is an "instance" of this module holding values for each member and
# functions for each method
if input_size and target_size:
# initialize w and b in a special way using input_size and target_size
sz = (input_size, target_size)
rng = N.random.RandomState(seed)
obj.w = rng.uniform(size = sz, low = -0.5, high = 0.5)
obj.b = N.zeros(target_size)
obj.stepsize = 0.01
# here we call the default_initialize method, which takes all the name: value
# pairs in init and sets the property with that name to the provided value
# this covers setting stepsize, l2_coef; w and b can be set that way too
# we call it after as we want the parameter to superseed the default value.
M.default_initialize(obj,**init)