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Bayes 315 Team Project

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This is the Bayesian implementation of InternistI knowledge base.

Quickstart

  1. pull from git
  2. Log into (blackboard)(http:https://www.vanderbilt.edu/blackboard/)
  3. go to assignments>Decision Support Assignment
  4. download the following to [project]/data * Diseases_for_2015_decision_support_exercise_v03.txt * Findings_for_2015_decision_support_exercise_v03.txt * optionally the assignment instructions
  5. run bayes.py from your command line or IDE

Development Notes

  • logging can be done with
    • self.logger.debug('debug message')
    • self.logger.info('info message')
    • self.logger.warn('warning message')
    • self.logger.error('error message')
  • bayes.py --help will show contextual help
  • dependencies: pandas
  • @todo denotes tasks that need completed
  • spacing for indention is set at two spaces

Dependencies

  • pandas
  • numpy
  • termcolor

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InternistI implementation of bayesian algorithm for 316B

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