tf.contrib.distributions.BernoulliWithSigmoidP.pdf()

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

2016-10-14 12:45:51
tf.contrib.distributions.LaplaceWithSoftplusScale.

tf.contrib.distributions.LaplaceWithSoftplusScale.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='LaplaceWithSoftplusScale')

2016-10-14 12:56:14
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.prob()

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

2016-10-14 13:02:35
tf.contrib.distributions.StudentT.pmf()

tf.contrib.distributions.StudentT.pmf(value, name='pmf') Probability mass function. Args:

2016-10-14 13:02:16
tf.contrib.distributions.QuantizedDistribution.get_event_shape()

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

2016-10-14 13:01:22
tf.contrib.distributions.Uniform.get_batch_shape()

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

2016-10-14 13:03:17
tf.contrib.distributions.WishartCholesky.variance()

tf.contrib.distributions.WishartCholesky.variance(name='variance') Variance.

2016-10-14 13:04:15
tf.contrib.distributions.BetaWithSoftplusAB.dtype

tf.contrib.distributions.BetaWithSoftplusAB.dtype The DType of Tensors handled by this Distribution

2016-10-14 12:46:52
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_survival_function()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_survival_function(value, name='log_survival_function') Log survival

2016-10-14 12:58:38
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mu

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mu

2016-10-14 12:58:39