tf.contrib.distributions.Bernoulli.is_continuous

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.param_static_shapes(cls, sample_shape) param_shapes with static

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.loss(final_loss, name='Loss')

class tf.contrib.distributions.NormalWithSoftplusSigma Normal with softplus applied to sigma.

tf.acos(x, name=None) Computes acos of x element-wise. Args:

tf.contrib.distributions.Mixture.log_survival_function(value, name='log_survival_function') Log survival function.

tf.multinomial(logits, num_samples, seed=None, name=None) Draws samples from a multinomial distribution.

tf.contrib.distributions.BetaWithSoftplusAB.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.WishartFull.is_continuous