def spawn_symbol(cfg, coord, rnd_dist, nscales):
dest = coord + utils.sample_unit_sphere(rnd_dist)
# check not to spawn a symbol outside the environment
while np.linalg.norm(dest) >= cfg.world_radius:
dest = coord + utils.sample_unit_sphere(rnd_dist)
return modules.Symbol(dest, nscales)
def initialize_weights(self, method):
if method == "zero":
return zeros(self.feature_count)
elif method == "random":
return sample_unit_sphere(self.feature_count) * 0.01
elif method == "fullyrandom":
v = zeros(self.feature_count)
for i in range(self.feature_count):
v[i] = gauss(0, 1)
return v
else:
try:
weights = array([float(num) for num in method.split(",")])
if len(weights) != self.feature_count:
raise Exception(
"List of initial weights does not have the"
" expected length (%d, expected $d)." % (len(weights, self.feature_count))
)
return weights
except Exception as ex:
raise Exception(
"Could not parse weight initialization method:"
" %s. Possible values: zero, random, or a comma-separated "
"list of float values that indicate specific weight values"
". Error: %s" % (method, ex)
)
def initialize_weights(self, method):
if method == "zero":
return zeros(self.feature_count)
elif method == "random":
return sample_unit_sphere(self.feature_count) * 0.01
elif method == "fullyrandom":
v = zeros(self.feature_count)
for i in range(self.feature_count):
v[i] = gauss(0, 1)
return v
else:
try:
weights = array([float(num) for num in method.split(",")])
if len(weights) != self.feature_count:
raise Exception("List of initial weights does not have the"
" expected length (%d, expected $d)." %
(len(weights, self.feature_count)))
return weights
except Exception as ex:
raise Exception(
"Could not parse weight initialization method:"
" %s. Possible values: zero, random, or a comma-separated "
"list of float values that indicate specific weight values"
". Error: %s" % (method, ex))
def initialize_weights(self, init_method):
if init_method == "random":
return sample_unit_sphere(self.feature_count)
return np.array([2.5, 0, 0.8])
