tf.contrib.distributions.Dirichlet.log_prob()

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

2016-10-14 12:50:09
tf.contrib.distributions.MultivariateNormalFull.variance()

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

2016-10-14 12:59:36
tf.contrib.distributions.Binomial.prob()

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

2016-10-14 12:47:51
tf.contrib.distributions.MultivariateNormalDiag.mean()

tf.contrib.distributions.MultivariateNormalDiag.mean(name='mean') Mean.

2016-10-14 12:58:12
tf.contrib.distributions.BernoulliWithSigmoidP.pmf()

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

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

tf.contrib.distributions.Exponential.allow_nan_stats Python boolean describing behavior when a stat is undefined.

2016-10-14 12:51:51
tf.contrib.distributions.InverseGamma.validate_args

tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.

2016-10-14 12:54:55
tf.contrib.distributions.StudentT.sample_n()

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

2016-10-14 13:02:21
tf.contrib.distributions.Beta.entropy()

tf.contrib.distributions.Beta.entropy(name='entropy') Shanon entropy in nats.

2016-10-14 12:46:06
tf.contrib.distributions.Categorical.pmf()

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

2016-10-14 12:48:37