tf.contrib.distributions.WishartCholesky.param_static_shapes()

tf.contrib.distributions.WishartCholesky.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

2016-10-14 13:04:07
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.dtype

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

2016-10-14 13:02:30
tf.contrib.distributions.Normal.name

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

2016-10-14 13:00:03
tf.contrib.distributions.Normal.dtype

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

2016-10-14 12:59:45
tf.contrib.distributions.Multinomial.validate_args

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

2016-10-14 12:57:13
tf.contrib.distributions.Dirichlet.validate_args

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

2016-10-14 12:50:24
tf.contrib.distributions.MultivariateNormalCholesky.mode()

tf.contrib.distributions.MultivariateNormalCholesky.mode(name='mode') Mode.

2016-10-14 12:57:33
tf.contrib.distributions.TransformedDistribution.log_prob()

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

2016-10-14 13:02:51
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.prob()

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

2016-10-14 12:58:42
tf.contrib.distributions.Distribution.parameters

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

2016-10-14 12:51:26