tf.contrib.distributions.TransformedDistribution.validate_args

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

2016-10-14 13:03:05
tf.contrib.distributions.WishartCholesky.is_reparameterized

tf.contrib.distributions.WishartCholesky.is_reparameterized

2016-10-14 13:03:56
tf.contrib.distributions.TransformedDistribution.survival_function()

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

2016-10-14 13:03:04
tf.contrib.distributions.TransformedDistribution.log_survival_function()

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

2016-10-14 13:02:53
tf.contrib.distributions.Poisson.name

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

2016-10-14 13:00:56
tf.contrib.distributions.Uniform.event_shape()

tf.contrib.distributions.Uniform.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

2016-10-14 13:03:16
tf.contrib.distributions.Distribution.sample()

tf.contrib.distributions.Distribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

2016-10-14 12:51:39
tf.contrib.distributions.Categorical.logits

tf.contrib.distributions.Categorical.logits

2016-10-14 12:48:15
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma Dense (batch) covariance matrix, if available.

2016-10-14 12:58:55
tf.contrib.distributions.Chi2WithAbsDf.allow_nan_stats

tf.contrib.distributions.Chi2WithAbsDf.allow_nan_stats Python boolean describing behavior when a stat is undefined.

2016-10-14 12:49:37