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Minutes
madlib edited this page Nov 16, 2010
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- Joe's thoughts on package management (Package Manager Notes) >> will use RPM and port it to Mac OS
- thinking through DB migrations
- polishing approximate counting
- Florian replaced Cephes library by own implementation for computing Student-t distribution (nice!)
- is working on at Naive-Bayes interface and SQL only code
- will look at logistic regression plpgsql code by Steven & Luke
- Eugene to look at the Decision Tree
- Kee Siong will talk to Jeff and Caleb about SVEC road map and dev plan.
- Caleb made github accessible from internal network (Yay!)
- will be reviewing code as soon as reviews are created.
- Aleks to schedule initial reviews using Fisheye/Crucible
- finishing up k-means clustering (multi-user support, doc)
- need to "materialize" RelEng resource anytime now
- start discussing cooperation with GP QA
- Development Status page
- Joe to pursue pkg mgr experiments
- Joe to ponder: python is for what? loops, 2nd order, testing harness.
- Gavin points out: API levels, documentation, unit testing (discussion postponed until we have the initial code).
- Aleks to coordinate setup of Fisheye/Crucible/Github environment for the team.
- Status
- Joe: CountMin mods for Frequent Values in the works, challenge is parallelization
- Florian to begin port/checkin of linear regression
- Kee-Siong to begin port/checkin of sparse vectors, linking to lapack
- Eugene to begin port/checkin of decision trees (and to send out a technical ref to the algorithm)
- Gavin to send out a preliminary package mgr design doc
- Aleks to begin port/checking of k-means
- General note: as a group we need to gain experience/design pointers on writing "vanilla SQL" with external drivers in lieu of PL/PGSQL.
- Test harness to be postponed until more experience gathered
- Code review/QA process:
- Gavin has 4 hours/week to do code reviews (once he returns)
- When Gavin in San Mateo (week of 11/22) he will drive import of MadLib into GP QA process
- Questions remain on deploying PL/C to GP customers
- Brief discussion of API, including the Oracle way of passing parameters via table insertion. Some sense that we don't like that but it merits more discussion and experience
- GitHub seems week on issue tracking, etc. We need a solution to that before we release to public.
- 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.