def __init__(self, input_dim, active_dims=None):
Parameterized.__init__(self)
self.input_dim = input_dim
if active_dims is None:
self.active_dims = slice(input_dim)
else:
self.active_dims = active_dims
def __init__(self, input_dim, active_dims=None):
Parameterized.__init__(self)
self.input_dim = input_dim
if active_dims is None:
self.active_dims = slice(input_dim)
else:
self.active_dims = active_dims
def __init__(self, name='model'):
"""
name is a string describing this model.
"""
Parameterized.__init__(self)
self._name = name
self._needs_recompile = True
self._session = tf.Session()
self._free_vars = tf.placeholder(tf.float64)
def __init__(self, input_dim, active_dims=None):
"""
input dim is an integer
active dims is a (slice | iterable of integers | None)
"""
Parameterized.__init__(self)
self.input_dim = input_dim
if active_dims is None:
self.active_dims = slice(input_dim)
else:
self.active_dims = tf.constant(np.array(active_dims, dtype=np.int32), tf.int32)
def __getstate__(self):
"""
This mehtod is necessary for pickling objects
"""
d = Parameterized.__getstate__(self)
d.pop('_session')
d.pop('_free_vars')
try:
d.pop('_objective')
d.pop('_minusF')
d.pop('_minusG')
except:
pass
return d
def __init__(self):
Parameterized.__init__(self)
self.num_gauss_hermite_points = 20
def __setstate__(self, d):
Parameterized.__setstate__(self, d)
self._needs_recompile = True
self._session = tf.Session()