tf.contrib.distributions.WishartCholesky.scale()

tf.contrib.distributions.WishartCholesky.scale() Wishart distribution scale matrix.

2016-10-14 13:04:12
tf.contrib.distributions.Distribution.validate_args

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

2016-10-14 12:51:46
tf.contrib.distributions.Gamma.is_reparameterized

tf.contrib.distributions.Gamma.is_reparameterized

2016-10-14 12:53:15
tf.contrib.distributions.Exponential.pdf()

tf.contrib.distributions.Exponential.pdf(value, name='pdf') Probability density function. Args:

2016-10-14 12:52:23
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.batch_shape()

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

2016-10-14 12:53:52
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma_det()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma_det(name='sigma_det') Determinant of covariance matrix

2016-10-14 12:58:56
tf.contrib.distributions.MultivariateNormalCholesky.sigma_det()

tf.contrib.distributions.MultivariateNormalCholesky.sigma_det(name='sigma_det') Determinant of covariance matrix.

2016-10-14 12:57:46
tf.contrib.distributions.TransformedDistribution.parameters

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

2016-10-14 13:02:55
tf.contrib.distributions.Distribution.batch_shape()

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

2016-10-14 12:51:02
tf.contrib.distributions.MultivariateNormalCholesky.name

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

2016-10-14 12:57:34