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shillion edited this page Oct 19, 2010
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- talk to Caleb about the internal functions vs madlib code changes
- methods for ver 1.0:
- approximate counting (in works - Joe)
- k-means (in works - Aleks)
- random sampling (in works - Aleks)
- linear regression - shared code GP/madlib (in queue)
- naive-bayes - shared code GP/madlib (in queue)
- sparse vector - shared code GP/madlib (in queue)
- logistic regression (in queue)
- ongoing code review (critical!)
- all of the above methods should be reviewed by at least two of Aleks/Gavin/Caleb
- review for performance, code standards, code structure, file/directory structure, tests, documentation
- code review software (github plugin ?)
- package manager ver1.0 specs (Gavin)
- Joe to drive todo list
- build tools (Gavin drives)
- directories (Joe drives)
- API (Aleks drives)
- Aleks to set up meeting for team
- Discussion on API:
- keep working through examples to understand tradeoffs
- try to boil out distinguishing features: e.g. via type signatures of the code, e.g. via computational patterns like iteration/recursion, etc.
- eventually we need a set of Guiding Principles for the next person writing a routine: help them figure out which style to use.