tf.contrib.distributions.Distribution.pmf()

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

2016-10-14 12:51:35
tf.contrib.distributions.MultivariateNormalDiag.log_prob()

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

2016-10-14 12:58:09
tf.contrib.distributions.Chi2WithAbsDf.prob()

tf.contrib.distributions.Chi2WithAbsDf.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

2016-10-14 12:49:50
tf.contrib.distributions.Chi2.is_reparameterized

tf.contrib.distributions.Chi2.is_reparameterized

2016-10-14 12:49:03
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_continuous

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_continuous

2016-10-14 12:53:56
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_sigma_det()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_sigma_det(name='log_sigma_det') Log of determinant of covariance

2016-10-14 12:58:51
tf.contrib.distributions.BernoulliWithSigmoidP.std()

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

2016-10-14 12:45:54
tf.contrib.distributions.BernoulliWithSigmoidP.logits

tf.contrib.distributions.BernoulliWithSigmoidP.logits

2016-10-14 12:45:42
tf.contrib.distributions.Normal.validate_args

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

2016-10-14 13:00:20
tf.contrib.distributions.Binomial.mean()

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

2016-10-14 12:47:35