def __init__(self, X, y=[], hotstart_tradeoff=0.01, state_dims_map=[]):
SOInterface.__init__(self, X, y)
self.hotstart_tradeoff = hotstart_tradeoff
print 'number of dims: '
print self.dims
if (state_dims_map == []):
print 'Create default state-dimension-map.'
# generate a default state-dimension map (every state uses all avail dims)
self.state_dims_map = []
for s in range(self.states):
self.state_dims_map.append(range(self.dims))
else:
self.state_dims_map = state_dims_map
print 'Calculating jfm dimension indices..'
cnt = self.transitions
for s in range(self.states):
foo = matrix(0, (1, self.dims))
for d in self.state_dims_map[s]:
foo[d] = cnt
cnt += 1
self.state_dims_jfm_inds.append(foo)
self.state_dims_entries = cnt - self.transitions
for s in range(self.states):
print self.state_dims_jfm_inds[s]
print self.state_dims_entries
print self.state_dims_map
print self.state_dims_jfm_inds
def __init__(self, X, y=[], hotstart_tradeoff=0.01, state_dims_map=[]): SOInterface.__init__(self, X, y) self.hotstart_tradeoff = hotstart_tradeoff print 'number of dims: ' print self.dims if (state_dims_map==[]): print 'Create default state-dimension-map.' # generate a default state-dimension map (every state uses all avail dims) self.state_dims_map = [] for s in range(self.states): self.state_dims_map.append(range(self.dims)) else: self.state_dims_map = state_dims_map print 'Calculating jfm dimension indices..' cnt = self.transitions for s in range(self.states): foo = matrix(0, (1, self.dims)) for d in self.state_dims_map[s]: foo[d] = cnt cnt += 1 self.state_dims_jfm_inds.append(foo) self.state_dims_entries = cnt - self.transitions for s in range(self.states): print self.state_dims_jfm_inds[s] print self.state_dims_entries print self.state_dims_map print self.state_dims_jfm_inds
def __init__(self, X, y=[], num_states=2, hotstart_tradeoff=0.1):
SOInterface.__init__(self, X, y)
self.states = num_states
self.start_p = matrix(1.0, (self.states, 1))
#self.start_p[0] = 0.2
self.hotstart_tradeoff = hotstart_tradeoff
print('Number of states = {0}'.format(num_states))
def __init__(self, X, classes, y=None):
# the class also acts as indices therefore: y >= 0!
SOInterface.__init__(self, X, y)
self.num_classes = classes
self.dims = self.feats
def __init__(self, X, y=None, num_states=2, hotstart_tradeoff=0.1):
SOInterface.__init__(self, X, y)
self.states = num_states
self.start_p = np.ones(self.states)
self.hotstart_tradeoff = hotstart_tradeoff
def __init__(self, X, y=[], hotstart_tradeoff=0.01): SOInterface.__init__(self, X, y) self.hotstart_tradeoff = hotstart_tradeoff
def __init__(self, X, y=[], num_states=2, hotstart_tradeoff=0.1):
SOInterface.__init__(self, X, y)
self.states = num_states
self.start_p = matrix(1.0, (self.states, 1))
#self.start_p[0] = 0.0
self.hotstart_tradeoff = hotstart_tradeoff
def __init__(self, X, y=[], num_states=2, hotstart_tradeoff=0.1): SOInterface.__init__(self, X, y) self.states = num_states self.start_p = matrix(1.0, (self.states, 1)) #self.start_p[0] = 0.0 self.hotstart_tradeoff = hotstart_tradeoff
def __init__(self, X, classes, y=[]):
# the class also acts as indices therefore:
# y >= 0!
SOInterface.__init__(self, X, y)
self.num_classes = classes
