def _get_param_names(self):
# X_names = sum([['X_%i_%i' % (n, q) for q in range(self.input_dim)] for n in range(self.num_data)], [])
# S_names = sum([['X_variance_%i_%i' % (n, q) for q in range(self.input_dim)] for n in range(self.num_data)], [])
n1 = self.gref._get_param_names()
n1var = n1[:self.NQ * 2 + self.MQ]
map_names = lambda ns, name: map(
lambda x: "{1}_{0}".format(*x),
itertools.izip(ns, itertools.repeat(name)))
return list(itertools.chain(n1var, *(map_names(\
SparseGP._get_param_names(g)[self.MQ:], n) \
for g, n in zip(self.bgplvms, self.names))))
def _get_param_names(self):
# X_names = sum([['X_%i_%i' % (n, q) for q in range(self.input_dim)] for n in range(self.num_data)], [])
# S_names = sum([['X_variance_%i_%i' % (n, q) for q in range(self.input_dim)] for n in range(self.num_data)], [])
n1 = self.gref._get_param_names()
n1var = n1[:self.NQ * 2 + self.MQ]
map_names = lambda ns, name: map(lambda x: "{1}_{0}".format(*x),
itertools.izip(ns,
itertools.repeat(name)))
return list(itertools.chain(n1var, *(map_names(\
SparseGP._get_param_names(g)[self.MQ:], n) \
for g, n in zip(self.bgplvms, self.names))))
def _get_param_names(self):
n1 = self.gref._get_param_names()
n1var = n1[:self.NQ * 2 + self.MQ]
# return n1var
#
#def _get_kernel_names(self):
map_names = lambda ns, name: map(
lambda x: "{1}_{0}".format(*x),
itertools.izip(ns, itertools.repeat(name)))
return list(itertools.chain(n1var, *(map_names(\
SparseGP._get_param_names(g)[self.MQ:], n) \
for g, n in zip(self.bgplvms, self.names))))
def _get_param_names(self):
n1 = self.gref._get_param_names()
n1var = n1[:self.NQ * 2 + self.MQ]
# return n1var
#
#def _get_kernel_names(self):
map_names = lambda ns, name: map(lambda x: "{1}_{0}".format(*x),
itertools.izip(ns,
itertools.repeat(name)))
return list(itertools.chain(n1var, *(map_names(\
SparseGP._get_param_names(g)[self.MQ:], n) \
for g, n in zip(self.bgplvms, self.names))))