class_docstr: The baseModel class that provides the basic model structure for dlm. 
  
  Attributes:
      transition: the transition matrix G
      evaluation: the evaluation F
      noiseVar: the variance of the observation noise
      sysVar: the covariance of the underlying states
      innovation: the incremnent of the latent covariance W
      state: the latent states
      df: the degree of freedom (= number of data points)
      obs: the expectation of the observation
      obsVar: the variance of the observation
  
  Methods:
      initializeObservation: initialize the obs and obsVar
      validation: validate the matrix dimensions are consistent.
docstr: Initialize the value of obs and obsVar
  
          
docstr_tok: ["Initialize","the","value","of","obs","and","obsVar"]
code: def initializeObservation(self):
      """Initialize the value of obs and obsVar"""
      self.validation()
      self.obs = np.dot(self.evaluation, self.state)
      self.obsVar = (
          np.dot(
              np.dot(self.evaluation, self.sysVar), self.evaluation.T
          )
          + self.noiseVar
      )
  
imports: import numpy
  import pydlm.base.tools
label_desc: Use image node_id 2 for calling the baseModel obj's underlying member method code with example usage: obj.initializeObservation() without return types