Ejemplos de is_transition_matrix en Python

Ejemplo n.º 1

Archivo: test_transition_matrix.py Proyecto: SimonDanisch/markovmixing

def tets_transition_matrix():
	assert(mkm.is_transition_matrix(numpy.eye(1)))
	assert(mkm.is_transition_matrix(numpy.eye(5)))
	assert(mkm.is_transition_matrix(numpy.ones((1,2,3))) == False)

	assert(mkm.is_transition_matrix(mkm.line_lazy_transition_matrix(100, p = 0.51)))

	A = numpy.ones((3,3))
	numpy.fill_diagonal(A,0)
	P = mkm.graph_nbrw_transition_matrix(ssp.dok_matrix(A))
	assert(mkm.is_transition_matrix(P))
	print P

Ejemplo n.º 2

def tets_transition_matrix():
    assert (mkm.is_transition_matrix(numpy.eye(1)))
    assert (mkm.is_transition_matrix(numpy.eye(5)))
    assert (mkm.is_transition_matrix(numpy.ones((1, 2, 3))) == False)

    assert (mkm.is_transition_matrix(
        mkm.line_lazy_transition_matrix(100, p=0.51)))

    A = numpy.ones((3, 3))
    numpy.fill_diagonal(A, 0)
    P = mkm.graph_nbrw_transition_matrix(ssp.dok_matrix(A))
    assert (mkm.is_transition_matrix(P))
    print P

Ejemplo n.º 3

Archivo: markovchain.py Proyecto: sbordt/markovmixing

	def __init__(self, p):
		"""Initialize a Markov chain with a transition matrix

		p: the transition matrix, a numpy ndarray
		"""
		# verify that p is indeed a transition matrix
		if mkm.is_transition_matrix(p) == False:
			raise Exception('Matrix used to initialize a Markov chain is not a transition matrix')

		self.p = ssp.csr_matrix(p)
		self.n = p.shape[0]
		self.distributions = []
		self.sd = None

Ejemplo n.º 4

	def __init__(self, p):
		"""Initialize a Markov chain with a transition matrix

		p: the transition matrix, a numpy ndarray
		"""
		# verify that p is indeed a transition matrix
		if mkm.is_transition_matrix(p) == False:
			raise Exception('Matrix used to initialize a Markov chain is not a transition matrix')

		self.p = ssp.csr_matrix(p)
		self.n = p.shape[0]
		self.distributions = []
		self.sd = None

Ejemplo n.º 5

Archivo: test_transition_matrix.py Proyecto: sbordt/markovmixing

def tets_transition_matrix():
    assert (mkm.is_transition_matrix(numpy.eye(1)))
    assert (mkm.is_transition_matrix(numpy.eye(5)))
    assert (mkm.is_transition_matrix(numpy.ones((1, 2, 3))) == False)

    assert (mkm.is_transition_matrix(
        mkm.line_lazy_transition_matrix(100, p=0.51)))

    # graph_nbrw_transition_matrix
    A = numpy.ones((3, 3))
    numpy.fill_diagonal(A, 0)
    P = mkm.graph_nbrw_transition_matrix(A)
    assert (mkm.is_transition_matrix(P))
    print A
    print P

    # tree_nbrw_transition_matrix
    A = numpy.array([[0, 1, 0, 0, 0], [1, 0, 1, 1, 0], [0, 1, 0, 0, 0],
                     [0, 1, 0, 0, 1], [0, 0, 0, 1, 0]])
    P = mkm.tree_nbrw_transition_matrix(A, 0)
    assert (mkm.is_transition_matrix(P))
    print A
    print P