tf.contrib.distributions.Categorical.log_pmf()

tf.contrib.distributions.Categorical.log_pmf(value, name='log_pmf') Log probability mass function. Args:

2016-10-14 12:48:22
tf.contrib.distributions.QuantizedDistribution.

tf.contrib.distributions.QuantizedDistribution.__init__(base_dist_cls, lower_cutoff=None, upper_cutoff=None, name='QuantizedDistribution', **base_dist_args)

2016-10-14 13:01:43
tf.contrib.distributions.Mixture.log_survival_function()

tf.contrib.distributions.Mixture.log_survival_function(value, name='log_survival_function') Log survival function.

2016-10-14 12:56:30
tf.contrib.distributions.WishartCholesky.scale_operator_pd

tf.contrib.distributions.WishartCholesky.scale_operator_pd Wishart distribution scale matrix as an OperatorPD.

2016-10-14 13:04:13
tf.contrib.distributions.Binomial

class tf.contrib.distributions.Binomial Binomial distribution. This distribution is parameterized

2016-10-14 12:47:08
tf.contrib.distributions.Distribution.pdf()

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:

2016-10-14 12:51:33
tf.contrib.distributions.MultivariateNormalDiag.param_shapes()

tf.contrib.distributions.MultivariateNormalDiag.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

2016-10-14 12:58:16
tf.contrib.distributions.BetaWithSoftplusAB.get_batch_shape()

tf.contrib.distributions.BetaWithSoftplusAB.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

2016-10-14 12:46:54
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample_n()

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample_n(n, seed=None, name='sample_n') Generate n samples

2016-10-14 13:02:36
tf.contrib.distributions.Mixture.dtype

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

2016-10-14 12:56:20