tf.contrib.distributions.MultivariateNormalFull.sigma_det()

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

2016-10-14 12:59:33
tf.contrib.distributions.InverseGamma.sample()

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

2016-10-14 12:54:49
tf.contrib.distributions.Poisson.log_prob()

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

2016-10-14 13:00:52
tf.contrib.distributions.Gamma.param_shapes()

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

2016-10-14 12:53:30
tf.contrib.distributions.Bernoulli.survival_function()

tf.contrib.distributions.Bernoulli.survival_function(value, name='survival_function') Survival function. Given

2016-10-14 12:45:33
tf.contrib.distributions.TransformedDistribution.batch_shape()

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

2016-10-14 13:02:40
tf.contrib.distributions.MultivariateNormalDiag.log_pdf()

tf.contrib.distributions.MultivariateNormalDiag.log_pdf(value, name='log_pdf') Log probability density function.

2016-10-14 12:58:05
tf.contrib.distributions.NormalWithSoftplusSigma.std()

tf.contrib.distributions.NormalWithSoftplusSigma.std(name='std') Standard deviation.

2016-10-14 13:00:30
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.prob()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.prob(value, name='prob') Probability density/mass function (depending

2016-10-14 12:58:54
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.get_event_shape()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.get_event_shape() Shape of a single sample from a single batch as a

2016-10-14 12:58:35