tf.contrib.distributions.ExponentialWithSoftplusLam.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.BetaWithSoftplusAB.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.ExponentialWithSoftplusLam.log_cdf(value, name='log_cdf') Log cumulative distribution function.

tf.contrib.distributions.Normal.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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

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

tf.contrib.distributions.Mixture.get_event_shape() Shape of a single sample from a single batch as a TensorShape

class tf.contrib.distributions.QuantizedDistribution Distribution representing the quantization Y = ceiling(X).

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

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