tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.name

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

2016-10-14 12:55:07
tf.contrib.distributions.QuantizedDistribution.validate_args

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

2016-10-14 13:01:41
tf.contrib.distributions.WishartCholesky.event_shape()

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

2016-10-14 13:03:54
tf.contrib.distributions.StudentT.sample()

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

2016-10-14 13:02:20
tf.contrib.distributions.Binomial.entropy()

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

2016-10-14 12:47:16
tf.contrib.distributions.Chi2WithAbsDf.mode()

tf.contrib.distributions.Chi2WithAbsDf.mode(name='mode') Mode. Additional documentation from

2016-10-14 12:49:47
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_sigma_det()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix

2016-10-14 12:58:38
tf.contrib.distributions.InverseGamma.alpha

tf.contrib.distributions.InverseGamma.alpha Shape parameter.

2016-10-14 12:54:12
tf.contrib.distributions.TransformedDistribution

class tf.contrib.distributions.TransformedDistribution A Transformed Distribution. A Transformed

2016-10-14 13:02:38
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.pmf()

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function.

2016-10-14 12:54:04