class_docstr: Dynamic model interface.
  
  :param dimension: native state dimension.
  :param dimension_pv: PV state dimension.
  :param num_process_noise_parameters: process noise parameter space dimension.
        This for UKF applications. Can be left as ``None`` for EKF and most
        other filters.
class_docstr_tok: ["Dynamic","model","interface",".",":","param","dimension",":","native","state","dimension",".",":","param","dimension_pv",":","PV","state","dimension",".",":","param","num_process_noise_parameters",":","process","noise","parameter","space","dimension",".","This","for","UKF","applications",".","Can","be","left","as","``","None","``","for","EKF","and","most","other","filters","."]
docstr: Compute and return PV state from native state. Useful for combining
  state estimates of different types in IMM (Interacting Multiple Model)
  filtering.
  
  :param x: native state estimate mean.
  :return: PV state estimate mean.
docstr_tok: ["Compute","and","return","PV","state","from","native","state",".","Useful","for","combining","state","estimates","of","different","types","in","IMM","(","Interacting","Multiple","Model",")","filtering",".",":","param","x",":","native","state","estimate","mean",".",":","return",":","PV","state","estimate","mean","."]
code: def mean2pv(self, x):
      """
      Compute and return PV state from native state. Useful for combining
      state estimates of different types in IMM (Interacting Multiple Model)
      filtering.
  
      :param x: native state estimate mean.
      :return: PV state estimate mean.
      """
      raise NotImplementedError
  
imports: from abc import ABCMeta, abstractmethod
  import torch
  from torch import nn
  from torch.nn import Parameter
  import pyro.distributions
  from pyro.distributions.util import eye_like
label_desc: Use image node_id 7 for calling the DynamicModel obj's underlying member method code with example usage: obj.mean2pv(x) without return types