tf.contrib.distributions.GammaWithSoftplusAlphaBeta.prob()

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

2016-10-14 12:54:04
tf.contrib.distributions.Dirichlet.mode()

tf.contrib.distributions.Dirichlet.mode(name='mode') Mode. Additional documentation from

2016-10-14 12:50:12
tf.contrib.distributions.Dirichlet.entropy()

tf.contrib.distributions.Dirichlet.entropy(name='entropy') Shanon entropy in nats.

2016-10-14 12:50:00
tf.contrib.distributions.InverseGamma.entropy()

tf.contrib.distributions.InverseGamma.entropy(name='entropy') Shanon entropy in nats. Additional

2016-10-14 12:54:19
tf.contrib.distributions.ExponentialWithSoftplusLam.log_pmf()

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

2016-10-14 12:52:46
tf.contrib.distributions.InverseGamma.log_pdf()

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

2016-10-14 12:54:29
tf.contrib.distributions.Beta.log_survival_function()

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

2016-10-14 12:46:23
tf.contrib.distributions.StudentT.survival_function()

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

2016-10-14 13:02:24
tf.contrib.distributions.WishartFull.get_event_shape()

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

2016-10-14 13:04:23
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

2016-10-14 13:02:36