tf.contrib.distributions.Distribution.get_batch_shape()

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

2016-10-14 12:51:09
tf.contrib.distributions.Laplace.log_pmf()

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

2016-10-14 12:55:34
tf.contrib.distributions.Poisson.batch_shape()

tf.contrib.distributions.Poisson.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

2016-10-14 13:00:37
tf.contrib.distributions.Chi2WithAbsDf.df

tf.contrib.distributions.Chi2WithAbsDf.df

2016-10-14 12:49:39
tf.contrib.distributions.MultivariateNormalDiag.log_survival_function()

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

2016-10-14 12:58:11
tf.contrib.distributions.GammaWithSoftplusAlphaBeta

class tf.contrib.distributions.GammaWithSoftplusAlphaBeta Gamma with softplus transform on alpha and beta

2016-10-14 12:53:50
tf.contrib.distributions.Mixture.batch_shape()

tf.contrib.distributions.Mixture.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

2016-10-14 12:56:18
tf.contrib.distributions.InverseGamma.prob()

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

2016-10-14 12:54:48
tf.contrib.distributions.Multinomial.allow_nan_stats

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

2016-10-14 12:56:43
tf.contrib.distributions.NormalWithSoftplusSigma.variance()

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

2016-10-14 13:00:30