Data representation classes, first cut
Merge branch 'master' of github.com:deboshire/exp into data
Migrated all code to use new data representation. Code is sometimes ugly, but it works.
Tests are not stable. Still to be fixed.
Merge branch 'data' into feature/data_representation
Renamed Instances->Table, Instance->Row
Merge branch 'develop' into feature/data_representation
Functionally complete. Everything works: regressions, other stuff.

Termination criteria sucks. I need to rebuild a new one.
Tests need to be rewritten into more data-driven
Code is too complicated sometimes. Need a new pass.
Killed all non-iterator based table access.
Statistics over data window
Draft version of http tracer server
Experimenting with grad termination criteria.
Console tracer.

Still experimenting with tracer API. Have no idea where this will end...
simple attr transformation
reading csv file into table
k-nearest neighbors classifier
benchmarking logistic regression on kaggle too

NB: this works purely because waggle data doesn't contain bias column & logic doesn't have built-in support for bias.
Vector utility methods.
Converge() function as a base for optimizations.
Moved stochastic gradient descent into better package and reworked to use Converge()
Do() function for iterating over data