This is the Bayesian implementation of InternistI knowledge base.
- pull from git
- Log into (blackboard)(http://www.vanderbilt.edu/blackboard/)
- go to assignments>Decision Support Assignment
- 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
- run bayes.py from your command line or IDE
- 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
- pandas
- numpy
- termcolor