tf.contrib.distributions.Chi2.cdf()

tf.contrib.distributions.Chi2.cdf(value, name='cdf') Cumulative distribution function. Given random

2016-10-14 12:48:56
tf.contrib.distributions.Laplace.log_prob()

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

2016-10-14 12:55:35
tf.contrib.distributions.QuantizedDistribution.param_static_shapes()

tf.contrib.distributions.QuantizedDistribution.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

2016-10-14 13:01:33
tf.contrib.distributions.WishartFull.std()

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

2016-10-14 13:04:40
tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape()

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch

2016-10-14 12:52:42
tf.contrib.distributions.MultivariateNormalFull.log_survival_function()

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

2016-10-14 12:59:18
tf.contrib.distributions.InverseGamma.is_continuous

tf.contrib.distributions.InverseGamma.is_continuous

2016-10-14 12:54:24
tf.contrib.distributions.StudentT.cdf()

tf.contrib.distributions.StudentT.cdf(value, name='cdf') Cumulative distribution function. Given

2016-10-14 13:01:50
tf.contrib.distributions.BetaWithSoftplusAB.b

tf.contrib.distributions.BetaWithSoftplusAB.b Shape parameter.

2016-10-14 12:46:49
tf.contrib.distributions.StudentT.get_event_shape()

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

2016-10-14 13:01:56