tf.contrib.distributions.Mixture.components

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

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

tf.contrib.distributions.Beta.pmf(value, name='pmf') Probability mass function. Args:

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

tf.contrib.distributions.StudentT.dtype The DType of Tensors handled by this Distribution

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

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode(name='mode') Mode. Additional

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