tf.contrib.distributions.Binomial.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.Chi2WithAbsDf.parameters Dictionary of parameters used by this Distribution.

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

tf.contrib.distributions.Categorical.std(name='std') Standard deviation.

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

tf.contrib.distributions.NormalWithSoftplusSigma.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='NormalWithSoftplusSigma')

class tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta Inverse Gamma with softplus applied to alpha and

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

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

tf.contrib.distributions.Beta.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.