tf.contrib.distributions.ExponentialWithSoftplusLam.

tf.contrib.distributions.ExponentialWithSoftplusLam.__init__(lam, validate_args=False, allow_nan_stats=True, name='ExponentialWithSoftplusLam')

2016-10-14 12:52:57
tf.contrib.distributions.Laplace.dtype

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

2016-10-14 12:55:21
tf.contrib.distributions.MultivariateNormalFull.pmf()

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

2016-10-14 12:59:27
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pdf()

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

2016-10-14 12:53:57
tf.contrib.distributions.BernoulliWithSigmoidP.cdf()

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

2016-10-14 12:45:39
tf.contrib.distributions.MultivariateNormalDiag.log_sigma_det()

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

2016-10-14 12:58:09
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma

class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma =

2016-10-14 13:02:28
tf.contrib.distributions.MultivariateNormalFull.prob()

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

2016-10-14 12:59:29
tf.contrib.distributions.BernoulliWithSigmoidP.name

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

2016-10-14 12:45:48
tf.contrib.distributions.LaplaceWithSoftplusScale.mode()

tf.contrib.distributions.LaplaceWithSoftplusScale.mode(name='mode') Mode.

2016-10-14 12:56:08