tf.contrib.distributions.Categorical.mean()

tf.contrib.distributions.Categorical.mean(name='mean') Mean.

2016-10-14 12:48:26
tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.Poisson.is_reparameterized

2016-10-14 13:00:44
tf.contrib.distributions.Gamma.alpha

tf.contrib.distributions.Gamma.alpha Shape parameter.

2016-10-14 12:53:02
tf.contrib.distributions.InverseGamma

class tf.contrib.distributions.InverseGamma The InverseGamma distribution with parameter alpha and beta.

2016-10-14 12:54:10
tf.contrib.distributions.MultivariateNormalCholesky.log_pdf()

tf.contrib.distributions.MultivariateNormalCholesky.log_pdf(value, name='log_pdf') Log probability density function.

2016-10-14 12:57:27
tf.contrib.distributions.MultivariateNormalCholesky.survival_function()

tf.contrib.distributions.MultivariateNormalCholesky.survival_function(value, name='survival_function') Survival function.

2016-10-14 12:57:48
tf.contrib.distributions.Categorical.is_continuous

tf.contrib.distributions.Categorical.is_continuous

2016-10-14 12:48:14
tf.contrib.distributions.Laplace.sample()

tf.contrib.distributions.Laplace.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

2016-10-14 12:55:52
tf.contrib.distributions.BernoulliWithSigmoidP.prob()

tf.contrib.distributions.BernoulliWithSigmoidP.prob(value, name='prob') Probability density/mass function (depending on

2016-10-14 12:45:52
tf.contrib.distributions.DirichletMultinomial.dtype

tf.contrib.distributions.DirichletMultinomial.dtype The DType of Tensors handled by this Distribution

2016-10-14 12:50:31