class_docstr: The abstract class provides the basic structure for all model components
  
  Methods:
      createEvaluation: create the initial evaluation matrix
      createTransition: create the initial transition matrix
      createCovPrior: create a simple prior covariance matrix
      createMeanPrior: create a simple prior latent state
      checkDimensions: if user supplies their own covPrior and meanPrior, this can 
                       be used to check if the dimension matches
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code: def createTransition(self):
      pass
  
file_path: pydlm/pydlm/modeler/component.py
imports: from abc import ABCMeta, abstractmethod
label_desc: Use image node_id 4 for calling the component obj's underlying member method code with example usage: obj.createTransition() without return types