tf.contrib.distributions.LaplaceWithSoftplusScale.cdf()

tf.contrib.distributions.LaplaceWithSoftplusScale.cdf(value, name='cdf') Cumulative distribution function. Given

2016-10-14 12:56:02
tf.contrib.distributions.WishartCholesky.log_pmf()

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

2016-10-14 13:04:00
tf.contrib.distributions.LaplaceWithSoftplusScale.prob()

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

2016-10-14 12:56:11
tf.contrib.distributions.Chi2WithAbsDf.variance()

tf.contrib.distributions.Chi2WithAbsDf.variance(name='variance') Variance.

2016-10-14 12:49:54
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.variance()

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

2016-10-14 12:58:57
tf.contrib.distributions.DirichletMultinomial.log_cdf()

tf.contrib.distributions.DirichletMultinomial.log_cdf(value, name='log_cdf') Log cumulative distribution function.

2016-10-14 12:50:36
tf.contrib.distributions.Categorical.sample_n()

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

2016-10-14 12:48:42
tf.contrib.distributions.Distribution.allow_nan_stats

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

2016-10-14 12:51:00
tf.contrib.distributions.MultivariateNormalDiag.prob()

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

2016-10-14 12:58:23
tf.contrib.distributions.WishartCholesky.survival_function()

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

2016-10-14 13:04:14