List of committees and their members:

* Existing Python ML libraries investigation: GD, DWF, IG, DE
* Dataset interface: DE, OB, OD, AB, PV
* Learners: AB, PL, GM, IG, RP
* Optimization: JB, PL, OD
* Inference/sampling: JB, GD, AC
* Job management, analysis, metrics, costs, visualization: GD, FS, PL, XM
* Formulas/tags: FB, NB, RP, AC, OB
* Coding style: DE, OD, DWF, FB

Issues to be tackled in the future:

* serialization & reproducibility 
* job management, results analysis, metrics & costs, visualization
* GPU portability
* social engineering, code review and incentives

Job of each committee:

* name a leader
* create a text file in this directory associated with their discussion
* discuss the issues, write them down in this file
* come up with an interface, protocol, or recommendations
* bring up the issues and recommendations to the rest of the group, and get feedback
* make sure the recommendations fit with other committees recommendations
* update the discussion / recommendation file
* implement documentation for these conventions in python or proper doc files as appropriate
* implement one or a few examples that show what is typically expected