tf.contrib.distributions.ExponentialWithSoftplusLam.get_event_shape()

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

2016-10-14 12:52:43
tf.contrib.distributions.ExponentialWithSoftplusLam.parameters

tf.contrib.distributions.ExponentialWithSoftplusLam.parameters Dictionary of parameters used by this Distribution

2016-10-14 12:52:50
tf.contrib.distributions.Laplace.allow_nan_stats

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

2016-10-14 12:55:17
tf.contrib.distributions.ExponentialWithSoftplusLam.survival_function()

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

2016-10-14 12:52:56
tf.contrib.distributions.BernoulliWithSigmoidP.log_prob()

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

2016-10-14 12:45:46
tf.contrib.distributions.BetaWithSoftplusAB.parameters

tf.contrib.distributions.BetaWithSoftplusAB.parameters Dictionary of parameters used by this Distribution.

2016-10-14 12:47:00
tf.contrib.distributions.Bernoulli.validate_args

tf.contrib.distributions.Bernoulli.validate_args Python boolean indicated possibly expensive checks are enabled.

2016-10-14 12:45:34
tf.contrib.distributions.Chi2.log_prob()

tf.contrib.distributions.Chi2.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

2016-10-14 12:49:12
tf.contrib.distributions.Chi2.log_cdf()

tf.contrib.distributions.Chi2.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

2016-10-14 12:49:06
tf.contrib.distributions.WishartFull.entropy()

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

2016-10-14 13:04:21