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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.__init__()

tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

tf.contrib.distributions.DirichletMultinomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.clone(name=None, **dist_args)

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

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.variance(name='variance') Variance.

tf.contrib.learn.monitors.CaptureVariable.post_step(step, session)

class tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue Ask the StochasticTensor for n samples and reshape the result