tf.contrib.distributions.Categorical.batch_shape()

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

2016-10-14 12:48:05
tf.contrib.distributions.Beta.variance()

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

2016-10-14 12:46:46
tf.contrib.distributions.Exponential.is_reparameterized

tf.contrib.distributions.Exponential.is_reparameterized

2016-10-14 12:52:03
tf.contrib.distributions.DirichletMultinomial.name

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

2016-10-14 12:50:43
tf.contrib.distributions.Uniform.b

tf.contrib.distributions.Uniform.b

2016-10-14 13:03:10
tf.contrib.distributions.Uniform.cdf()

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

2016-10-14 13:03:13
tf.contrib.distributions.Binomial.log_pdf()

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

2016-10-14 12:47:27
tf.contrib.distributions.DirichletMultinomial.parameters

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

2016-10-14 12:50:44
tf.contrib.distributions.Normal.entropy()

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

2016-10-14 12:59:45
tf.contrib.distributions.Normal.is_continuous

tf.contrib.distributions.Normal.is_continuous

2016-10-14 12:59:50