Exemplos de PointMass.sample em Python

Exemplo n.º 1

Arquivo: test_pointmass_log_prob.py Projeto: timwee/edward

def _test(params, n):
    rv = PointMass(params=params)
    rv_sample = rv.sample(n)
    x = rv_sample.eval()
    x_tf = tf.constant(x, dtype=tf.float32)
    params = params.eval()
    assert np.allclose(
        rv.log_prob(x_tf).eval(), pointmass_logpmf_vec(x, params))

Exemplo n.º 2

def _test(shape, n):
    rv = PointMass(shape, params=tf.zeros(shape)+0.5)
    rv_sample = rv.sample(n)
    x = rv_sample.eval()
    x_tf = tf.constant(x, dtype=tf.float32)
    params = rv.params.eval()
    for idx in range(shape[0]):
        assert np.allclose(
            rv.log_prob_idx((idx, ), x_tf).eval(),
            pointmass_logpmf_vec(x[:, idx], params[idx]))

Exemplo n.º 3

Arquivo: test_pointmass_sample.py Projeto: xsongx/edward

def _test(shape, params, n):
    x = PointMass(shape, params)
    val_est = tuple(get_dims(x.sample(n)))
    val_true = (n,) + shape
    assert val_est == val_true

Exemplo n.º 4

Arquivo: test_point_mass_sample.py Projeto: weiwang2330/Bayesian-Deep-Learning-with-Edward

 def _test(self, params, n):
     x = PointMass(params=params)
     val_est = x.sample(n).shape.as_list()
     val_true = n + tf.convert_to_tensor(params).shape.as_list()
     self.assertEqual(val_est, val_true)

Exemplo n.º 5

Arquivo: test_pointmass_sample.py Projeto: appcoreopc/edward

def _test(shape, params, size):
    x = PointMass(shape, params)
    val_est = tuple(get_dims(x.sample(size=size)))
    val_true = (size, ) + shape
    assert val_est == val_true

Exemplo n.º 6

Arquivo: test_point_mass_sample.py Projeto: LiuFang816/SALSTM_py_data

def _test(params, n):
    x = PointMass(params=params)
    val_est = get_dims(x.sample(n))
    val_true = n + get_dims(params)
    assert val_est == val_true

Exemplo n.º 7

Arquivo: test_pointmass_sample.py Projeto: wangxiao5791509/edward

def _test(shape, params, n):
    x = PointMass(shape, params)
    val_est = tuple(get_dims(x.sample(n)))
    val_true = (n, ) + shape
    assert val_est == val_true