distributions

Metrics that allow the parametric forecast of parameters of uni- and multivariate distributions.

Classes

BetaDistributionLoss([name, quantiles, ...])	Beta distribution loss for unit interval data.
ImplicitQuantileNetwork(input_size, hidden_size)	Initialize internal Module state, shared by both nn.Module and ScriptModule.
ImplicitQuantileNetworkDistributionLoss([...])	Implicit Quantile Network Distribution Loss.
LogNormalDistributionLoss([name, quantiles, ...])	Log-normal loss.
MQF2DistributionLoss(prediction_length[, ...])	Multivariate quantile loss based on the article Multivariate Quantile Function Forecaster.
MultivariateNormalDistributionLoss([name, ...])	Multivariate low-rank normal distribution loss.
NegativeBinomialDistributionLoss([name, ...])	Negative binomial loss, e.g. for count data.
NormalDistributionLoss([name, quantiles, ...])	Normal distribution loss.