tf.contrib.distributions.Chi2WithAbsDf.alpha

tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

2016-10-14 12:49:37
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape()

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

2016-10-14 13:02:30
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf()

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

2016-10-14 12:55:05
tf.contrib.distributions.Gamma.beta

tf.contrib.distributions.Gamma.beta Inverse scale parameter.

2016-10-14 12:53:05
tf.contrib.distributions.TransformedDistribution.event_shape()

tf.contrib.distributions.TransformedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch

2016-10-14 13:02:43
tf.contrib.distributions.NormalWithSoftplusSigma.name

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

2016-10-14 13:00:27
tf.contrib.distributions.MultivariateNormalDiag.entropy()

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

2016-10-14 12:57:56
tf.contrib.distributions.Gamma.survival_function()

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

2016-10-14 12:53:47
tf.contrib.distributions.BetaWithSoftplusAB.variance()

tf.contrib.distributions.BetaWithSoftplusAB.variance(name='variance') Variance.

2016-10-14 12:47:07
tf.contrib.distributions.Uniform.log_survival_function()

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

2016-10-14 13:03:28