tf.contrib.distributions.Poisson.log_pmf()

tf.contrib.distributions.Poisson.log_pmf(value, name='log_pmf') Log probability mass function. Args:

2016-10-14 13:00:50
tf.contrib.distributions.RegisterKL

class tf.contrib.distributions.RegisterKL Decorator to register a KL divergence implementation function.

2016-10-14 13:01:43
tf.contrib.distributions.BetaWithSoftplusAB.name

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

2016-10-14 12:47:00
tf.contrib.distributions.Chi2.param_shapes()

tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

2016-10-14 12:49:19
tf.contrib.distributions.ExponentialWithSoftplusLam.pdf()

tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

2016-10-14 12:52:52
tf.contrib.distributions.NormalWithSoftplusSigma.survival_function()

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

2016-10-14 13:00:30
tf.contrib.distributions.Exponential.cdf()

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

2016-10-14 12:51:56
tf.contrib.distributions.Binomial.parameters

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

2016-10-14 12:47:39
tf.contrib.distributions.Multinomial.prob()

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

2016-10-14 12:57:08
tf.contrib.distributions.ExponentialWithSoftplusLam.prob()

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

2016-10-14 12:52:53