tf.contrib.distributions.Poisson.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.variance(name='variance') Variance. Additional
tf.contrib.distributions.NormalWithSoftplusSigma.log_pmf(value, name='log_pmf') Log probability mass function.
tf.contrib.distributions.Chi2WithAbsDf.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape
tf.contrib.distributions.TransformedDistribution.mean(name='mean') Mean.
tf.contrib.distributions.RegisterKL.__call__(kl_fn) Perform the KL registration. Args:
tf.contrib.distributions.MultivariateNormalCholesky.is_continuous
tf.contrib.distributions.Gamma.allow_nan_stats Python boolean describing behavior when a stat is undefined.
tf.contrib.distributions.Exponential.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.survival_function(value, name='survival_function') Survival function
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