tf.contrib.distributions.Binomial.log_survival_function()

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

2016-10-14 12:47:35
tf.contrib.distributions.Mixture.num_components

tf.contrib.distributions.Mixture.num_components

2016-10-14 12:56:31
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

2016-10-14 13:02:36
tf.contrib.distributions.Laplace.

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

2016-10-14 12:56:00
tf.contrib.distributions.Poisson.log_pdf()

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

2016-10-14 13:00:48
tf.contrib.distributions.Uniform.variance()

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

2016-10-14 13:03:45
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample(sample_shape=(), seed=None, name='sample') Generate samples of

2016-10-14 12:58:43
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf()

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

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

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

2016-10-14 12:58:55
tf.contrib.distributions.Chi2WithAbsDf.alpha

tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

2016-10-14 12:49:37