malt.models.regressor

Representation -> predictive posterior.

Classes

ExactGaussianProcessRegressor([in_features, ...])	Regressor with exact Gaussian process.
HeteroschedasticGaussianLikelihood()	Models a heteroschedastic Gaussian likelihood to be used with neural network regressors.
HomoschedasticGaussianLikelihood()	Models a homoschedastic Gaussian likelihood to be used with neural network regressors.
NeuralNetworkLikelihood()
NeuralNetworkRegressor(in_features, ...)	Regressor with neural network.
Regressor(in_features, *args, **kwargs)	Base class for a regressor.