tf.contrib.distributions.Multinomial.log_prob()

tf.contrib.distributions.Multinomial.log_prob(value, name='log_prob') Log probability density/mass function (depending on

2016-10-14 12:56:57
tf.contrib.distributions.Mixture.allow_nan_stats

tf.contrib.distributions.Mixture.allow_nan_stats Python boolean describing behavior when a stat is undefined.

2016-10-14 12:56:17
tf.contrib.distributions.Mixture.prob()

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

2016-10-14 12:56:36
tf.contrib.distributions.QuantizedDistribution.mean()

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

2016-10-14 13:01:30
tf.contrib.distributions.RegisterKL.

tf.contrib.distributions.RegisterKL.__call__(kl_fn) Perform the KL registration. Args:

2016-10-14 13:01:44
tf.contrib.distributions.DirichletMultinomial.log_pmf()

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

2016-10-14 12:50:39
tf.contrib.distributions.MultivariateNormalDiag.param_static_shapes()

tf.contrib.distributions.MultivariateNormalDiag.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

2016-10-14 12:58:17
tf.contrib.distributions.WishartFull.prob()

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

2016-10-14 13:04:37
tf.contrib.distributions.WishartCholesky.name

tf.contrib.distributions.WishartCholesky.name Name prepended to all ops created by this Distribution.

2016-10-14 13:04:04
tf.contrib.distributions.DirichletMultinomial.get_event_shape()

tf.contrib.distributions.DirichletMultinomial.get_event_shape() Shape of a single sample from a single batch as a TensorShape

2016-10-14 12:50:34