def __init__(self,
aligner,
encoder=None,
window_size=100,
num_cells=100,
num_hidden=75,
recurrence='lstm',
learning_rate=0.01,
gamma=0.9,
momentum=0.0):
Sequential.__init__(self, aligner, encoder=encoder)
self.window_size = window_size
self.num_cells, self.num_hidden = num_cells, num_hidden
self.recurrence = recurrence
self.states = None
self.hidden = None
self.old_geometries = None
self.out_scales = None
self.learning_rate = learning_rate
self.gamma = gamma
self.momentum = momentum
# Build model variables, prepare tensorflow session & initialize variables
self.vars = self._construct_variables()
self.fcns = self._construct_functions()
self.session = tf.Session(config=tf.ConfigProto(
allow_soft_placement=True))
self.session.run(tf.initialize_all_variables())
def __init__(self, aligner, encoder=None, mem=50):
Sequential.__init__(self, aligner, encoder)
self.Q = 0.01
self.R = 0.01
self.mem = mem
self.xhat = None # aposteri estimate of x
self.P = None # aposteri error estimate
self.xhatminus = None # apriori estimate of x
self.Pminus = None # apriori error estimate
self.K = None # gain
self.A = None # update
self.old_geometries = None