added support for custom learners
fixes to support rescaling with custom regressors
added a unit test to make sure skll does not crash in cross-validation when there are rare classes that might only show up in a test fold
Add missing ** to CONTRIBUTING.md
Clarify difference between "easy" and "help wanted"
merged the latest develop branch, cleaned up unused imports
made skll install a specific scikit-learn version, 0.15.2
Intercept values printing for subclasses of BaseLibLinear.
fixed path problems in cross_val.cfg and evaluate.cfg
Merge remote-tracking branch 'origin/develop' into feature/iris
Should satisfy #155.
raised an error when the featureset_name goes more than 210 characters.
Merge branch 'develop' of https://github.com/EducationalTestingService/skll into feature/print_model_weights_script_should_print_out_intercept
added uses StratifiedKFold in cross validation message in the documentation
fixes for CV with rare classes: separated out creation of label dictionaries, added warnings, etc.
Modified docstring on model_params to reflect my changes.
Merge pull request #163 from EducationalTestingService/feature/print_model_weights_script_should_print_out_intercept

Feature/print model weights script should print out intercept
dataset that can test regression models (closes #162)
reverted back temporarily to old test
Merge pull request #167 from EducationalTestingService/feature/run-time

Feature/run time