tf.contrib.distributions.ExponentialWithSoftplusLam.is_reparameterized

tf.contrib.distributions.ExponentialWithSoftplusLam.is_reparameterized

2016-10-14 12:52:43
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pmf()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pmf(value, name='pmf') Probability mass function.

2016-10-14 12:58:42
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.variance()

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

2016-10-14 12:54:07
tf.contrib.distributions.MultivariateNormalCholesky.log_prob()

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

2016-10-14 12:57:30
tf.contrib.distributions.Exponential.log_pmf()

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

2016-10-14 12:52:10
tf.contrib.distributions.LaplaceWithSoftplusScale.name

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

2016-10-14 12:56:08
tf.contrib.distributions.BernoulliWithSigmoidP.log_survival_function()

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

2016-10-14 12:45:46
tf.contrib.distributions.BernoulliWithSigmoidP.dtype

tf.contrib.distributions.BernoulliWithSigmoidP.dtype The DType of Tensors handled by this Distribution

2016-10-14 12:45:39
tf.contrib.distributions.BernoulliWithSigmoidP.p

tf.contrib.distributions.BernoulliWithSigmoidP.p

2016-10-14 12:45:48
tf.contrib.distributions.Gamma.

tf.contrib.distributions.Gamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='Gamma') Construct Gamma

2016-10-14 12:53:50