Skip to main content
Ctrl+K

pydpf

  • API Reference
  • PyDPF basics
  • Tutorial
  • Bitbucket
  • PyPI
  • API Reference
  • PyDPF basics
  • Tutorial
  • Bitbucket
  • PyPI

Section Navigation

  • pydpf.Kalman
    • pydpf.Kalman.KalmanFilter
  • pydpf.base
    • pydpf.base.DivergenceError
    • pydpf.base.Module
    • pydpf.base.cached_property
    • pydpf.base.constrained_parameter
  • pydpf.conditional_resampling
    • pydpf.conditional_resampling.ConditionalResampler
  • pydpf.datautils
    • pydpf.datautils.StateSpaceDataset
    • pydpf.datautils.StateSpaceSubset
  • pydpf.deserialisation
  • pydpf.distributions
  • pydpf.distributions.Gaussian
    • pydpf.distributions.Gaussian.ConditionalGaussian
    • pydpf.distributions.Gaussian.LinearGaussian
    • pydpf.distributions.Gaussian.MultivariateGaussian
    • pydpf.distributions.Gaussian.StandardGaussian
  • pydpf.distributions.base
    • pydpf.distributions.base.Distribution
  • pydpf.distributions.kde
    • pydpf.distributions.kde.CompoundDistribution
    • pydpf.distributions.kde.KernelMixture
  • pydpf.distributions.vonMises
    • pydpf.distributions.vonMises.VonMises
  • pydpf.filtering
    • pydpf.filtering.DPF
    • pydpf.filtering.KernelDPF
    • pydpf.filtering.MarginalDPF
    • pydpf.filtering.MarginalParticleFilter
    • pydpf.filtering.MarginalSoftDPF
    • pydpf.filtering.MarginalStopGradientDPF
    • pydpf.filtering.MarginalStraightThroughDPF
    • pydpf.filtering.OptimalTransportDPF
    • pydpf.filtering.ParticleFilter
    • pydpf.filtering.SIS
    • pydpf.filtering.SoftDPF
    • pydpf.filtering.StopGradientDPF
    • pydpf.filtering.StraightThroughDPF
  • pydpf.gradient_regularisation
  • pydpf.model_based_api
    • pydpf.model_based_api.FilteringModel
  • pydpf.optimal_transport
  • pydpf.outputs
    • pydpf.outputs.ElBO_Loss
    • pydpf.outputs.FilteringMean
    • pydpf.outputs.LogLikelihoodFactors
    • pydpf.outputs.MSE_Loss
    • pydpf.outputs.NegLogDataLikelihood_Loss
    • pydpf.outputs.PredictiveMean
    • pydpf.outputs.State
    • pydpf.outputs.Weight
  • pydpf.resampling
    • pydpf.resampling.KernelResampler
    • pydpf.resampling.MultinomialResampler
    • pydpf.resampling.OptimalTransportResampler
    • pydpf.resampling.SoftResampler
    • pydpf.resampling.StopGradientResampler
    • pydpf.resampling.SystematicResampler
  • pydpf.utils
    • pydpf.utils.doc_function
    • pydpf.utils.set_deterministic_mode
  • API Reference
  • pydpf.model_based_api

pydpf.model_based_api#

pydpf.model_based_api.FilteringModel(*, ...)

The class for grouping model components to define a state-space model with optional proposal distributions.

previous

pydpf.gradient_regularisation

next

pydpf.model_based_api.FilteringModel
Show Source

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.17.1.