pydpf.outputs

pydpf.outputs.ElBO_Loss()	Get the factors of the ELBO loss per-timestep for a batch of filters.
pydpf.outputs.FilteringMean(function, ...)	Get an estimate of the filtering mean of a function of the latent state.
pydpf.outputs.LogLikelihoodFactors()
pydpf.outputs.MSE_Loss(function, ...)	Get the per-timestep mean squared error of a function of the latent state compared to ground truth over a batch of filters.
pydpf.outputs.NegLogDataLikelihood_Loss(kernel)	Get the negative log data likelihood per-timestep under a kernel density estimator.
pydpf.outputs.PredictiveMean(...)	Predict the state n steps ahead.
pydpf.outputs.State()	Module that returns the particle states when passed as an aggregation_function.
pydpf.outputs.Weight()	Module that returns the particle weights when passed as an aggregation_function.