tf.contrib.distributions.Beta.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

tf.contrib.distributions.Exponential.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.contrib.distributions.QuantizedDistribution.parameters Dictionary of parameters used by this Distribution.

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

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

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

tf.contrib.distributions.Binomial.n Number of trials.

tf.contrib.distributions.DirichletMultinomial.__init__(n, alpha, validate_args=False, allow_nan_stats=True, name='DirichletMultinomial')

tf.contrib.distributions.Chi2.sample_n(n, seed=None, name='sample_n') Generate n samples.

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