tf.contrib.distributions.Normal.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.
class tf.contrib.distributions.TransformedDistribution A Transformed Distribution. A Transformed
tf.contrib.distributions.Chi2WithAbsDf.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32
tf.contrib.distributions.Multinomial.dtype The DType of Tensors handled by this Distribution
tf.contrib.distributions.Beta.is_reparameterized
tf.contrib.distributions.Multinomial.validate_args Python boolean indicated possibly expensive checks are enabled.
tf.contrib.distributions.DirichletMultinomial.alpha_sum Summation of alpha parameter.
tf.contrib.distributions.Chi2.df
tf.contrib.distributions.Chi2.alpha Shape parameter.
tf.contrib.distributions.MultivariateNormalCholesky.sample(sample_shape=(), seed=None, name='sample') Generate samples of the
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