tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.survival_function()

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

2016-10-14 12:58:44
tf.contrib.distributions.Gamma.dtype

tf.contrib.distributions.Gamma.dtype The DType of Tensors handled by this Distribution

2016-10-14 12:53:08
tf.contrib.distributions.DirichletMultinomial.get_batch_shape()

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

2016-10-14 12:50:33
tf.contrib.distributions.Chi2.validate_args

tf.contrib.distributions.Chi2.validate_args Python boolean indicated possibly expensive checks are enabled.

2016-10-14 12:49:34
tf.contrib.distributions.WishartFull.df

tf.contrib.distributions.WishartFull.df Wishart distribution degree(s) of freedom.

2016-10-14 13:04:20
tf.contrib.distributions.WishartFull.survival_function()

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

2016-10-14 13:04:41
tf.contrib.distributions.Exponential.param_shapes()

tf.contrib.distributions.Exponential.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

2016-10-14 12:52:19
tf.contrib.distributions.DirichletMultinomial.n

tf.contrib.distributions.DirichletMultinomial.n Parameter defining this distribution.

2016-10-14 12:50:43
tf.contrib.distributions.Mixture.cat

tf.contrib.distributions.Mixture.cat

2016-10-14 12:56:18
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_reparameterized

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_reparameterized

2016-10-14 12:58:36