tf.contrib.distributions.LaplaceWithSoftplusScale.batch_shape()

tf.contrib.distributions.LaplaceWithSoftplusScale.batch_shape(name='batch_shape') Shape of a single sample from a single event

2016-10-14 12:56:01
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode()

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode(name='mode') Mode. Additional

2016-10-14 12:55:07
tf.contrib.distributions.Dirichlet.alpha

tf.contrib.distributions.Dirichlet.alpha Shape parameter.

2016-10-14 12:49:56
tf.contrib.distributions.WishartFull.mode()

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

2016-10-14 13:04:31
tf.contrib.distributions.MultivariateNormalFull.sample()

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

2016-10-14 12:59:30
tf.contrib.distributions.Normal.sample()

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

2016-10-14 13:00:14
tf.contrib.distributions.StudentT.param_static_shapes()

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

2016-10-14 13:02:13
tf.contrib.distributions.Mixture.log_pmf()

tf.contrib.distributions.Mixture.log_pmf(value, name='log_pmf') Log probability mass function. Args:

2016-10-14 12:56:28
tf.contrib.distributions.Chi2WithAbsDf.event_shape()

tf.contrib.distributions.Chi2WithAbsDf.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

2016-10-14 12:49:41
tf.contrib.distributions.InverseGamma.get_batch_shape()

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

2016-10-14 12:54:22