tf.contrib.distributions.Laplace.variance()

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

2016-10-14 12:55:58
tf.contrib.distributions.MultivariateNormalCholesky.sample()

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

2016-10-14 12:57:43
tf.contrib.distributions.QuantizedDistribution.param_shapes()

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

2016-10-14 13:01:32
tf.contrib.distributions.Beta.name

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

2016-10-14 12:46:26
tf.contrib.distributions.Categorical.is_reparameterized

tf.contrib.distributions.Categorical.is_reparameterized

2016-10-14 12:48:14
tf.contrib.distributions.Chi2.param_static_shapes()

tf.contrib.distributions.Chi2.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

2016-10-14 12:49:21
tf.contrib.distributions.ExponentialWithSoftplusLam.name

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

2016-10-14 12:52:50
tf.contrib.distributions.Uniform.range()

tf.contrib.distributions.Uniform.range(name='range') b - a.

2016-10-14 13:03:38
tf.contrib.distributions.Dirichlet.variance()

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

2016-10-14 12:50:24
tf.contrib.distributions.StudentT.entropy()

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

2016-10-14 13:01:52