tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mode()

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

2016-10-14 13:02:33
tf.contrib.distributions.Binomial.batch_shape()

tf.contrib.distributions.Binomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

2016-10-14 12:47:12
tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

2016-10-14 12:56:04
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mean()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mean(name='mean') Mean.

2016-10-14 12:58:52
tf.contrib.distributions.BetaWithSoftplusAB.log_prob()

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

2016-10-14 12:46:58
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized

2016-10-14 12:53:56
tf.contrib.distributions.Chi2.is_continuous

tf.contrib.distributions.Chi2.is_continuous

2016-10-14 12:49:03
tf.contrib.distributions.Mixture.param_shapes()

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

2016-10-14 12:56:33
tf.contrib.distributions.Categorical.param_shapes()

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

2016-10-14 12:48:31
tf.contrib.distributions.Distribution.log_pmf()

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

2016-10-14 12:51:19