tf.contrib.distributions.BetaWithSoftplusAB.log_cdf()

tf.contrib.distributions.BetaWithSoftplusAB.log_cdf(value, name='log_cdf') Log cumulative distribution function.

2016-10-14 12:46:56
tf.contrib.distributions.Binomial.

tf.contrib.distributions.Binomial.__init__(n, logits=None, p=None, validate_args=False, allow_nan_stats=True, name='Binomial') Initialize

2016-10-14 12:48:01
tf.contrib.distributions.Laplace.log_pdf()

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

2016-10-14 12:55:32
tf.contrib.distributions.WishartCholesky.log_cdf()

tf.contrib.distributions.WishartCholesky.log_cdf(value, name='log_cdf') Log cumulative distribution function.

2016-10-14 13:03:58
tf.contrib.distributions.TransformedDistribution.cdf()

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

2016-10-14 13:02:41
tf.contrib.distributions.BetaWithSoftplusAB.pdf()

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

2016-10-14 12:47:02
tf.contrib.distributions.Mixture.entropy_lower_bound()

tf.contrib.distributions.Mixture.entropy_lower_bound(name='entropy_lower_bound') A lower bound on the entropy of this mixture

2016-10-14 12:56:22
tf.contrib.distributions.MultivariateNormalCholesky.batch_shape()

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

2016-10-14 12:57:17
tf.contrib.distributions.NormalWithSoftplusSigma.pdf()

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

2016-10-14 13:00:28
tf.contrib.distributions.QuantizedDistribution.sample_n()

tf.contrib.distributions.QuantizedDistribution.sample_n(n, seed=None, name='sample_n') Generate n samples.

2016-10-14 13:01:39