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

tf.contrib.distributions.StudentT.mean(name='mean') Mean. Additional documentation from StudentT: The mean of Student's T equals mu if df > 1, otherwise it is NaN. If self.allow_nan_stats=True, then an exception will be raised rather than returning NaN.

tf.contrib.distributions.MultivariateNormalCholesky.sigma Dense (batch) covariance matrix, if available.

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

void tensorflow::Status::operator=(const Status &s)

tf.contrib.distributions.Categorical.logits

Status tensorflow::Env::GetRegisteredFileSystemSchemes(std::vector< string > *schemes) Returns the file system schemes registered for this Env .

Status tensorflow::PartialTensorShape::IsValidShape(const TensorShapeProto &proto) Returns OK iff proto is a valid tensor shape, and a descriptive error status otherwise.

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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.graph