class_docstr: Gaussian measurement interface.
  
  :param mean: mean of measurement distribution.
  :param cov: covariance of measurement distribution.
  :param time: continuous time of measurement. If this is not
        provided, `frame_num` must be.
  :param frame_num: discrete time of measurement. If this is not
        provided, `time` must be.
class_docstr_tok: ["Gaussian","measurement","interface",".",":","param","mean",":","mean","of","measurement","distribution",".",":","param","cov",":","covariance","of","measurement","distribution",".",":","param","time",":","continuous","time","of","measurement",".","If","this","is","not","provided",",","`","frame_num","`","must","be",".",":","param","frame_num",":","discrete","time","of","measurement",".","If","this","is","not","provided",",","`","time","`","must","be","."]
docstr: Measurement map (h) for predicting a measurement ``z`` from target
  state ``x``.
  
  :param x: PV state.
  :param do_normalization: whether to normalize output, e.g., mod'ing angles
        into an interval.
  :return Measurement predicted from state ``x``.
docstr_tok: ["Measurement","map","(","h",")","for","predicting","a","measurement","``","z","``","from","target","state","``","x","``",".",":","param","x",":","PV","state",".",":","param","do_normalization",":","whether","to","normalize","output",",","e.g.",",","mod'ing","angles","into","an","interval",".",":","return","Measurement","predicted","from","state","``","x","``","."]
code: def __call__(self, x, do_normalization=True):
      """
      Measurement map (h) for predicting a measurement ``z`` from target
      state ``x``.
  
      :param x: PV state.
      :param do_normalization: whether to normalize output, e.g., mod'ing angles
            into an interval.
      :return Measurement predicted from state ``x``.
      """
      raise NotImplementedError
  
imports: from abc import ABCMeta, abstractmethod
  import torch
  from pyro.distributions.util import eye_like
label_desc: Use image node_id 7 for calling the Measurement obj's underlying member method code with example usage: obj.__call__(x, do_normalization) without return types