sampler addded with tests cases and documentation.
updated suggestions.
Add KNeighbors and AdaBoost classifiers and regressors.
Add missing RescaledKNeighborsRegressor class
Update KNeighbors param grid, and fix lots of little PEP8 & pylint issues
Merge pull request #126 from EducationalTestingService/feature/missing_learners

Add KNeighbors and AdaBoost classifiers and regressors
Add support for all LinearModels to model_params.
Fix import of LinearModel
Update .travis.yml to use latest Miniconda and test on 3.4 instead of 3.3
Fix travis path issue
Merge pull request #127 from EducationalTestingService/feature/fix_issue_119

Add support for all LinearModel subclasses to Learner.model_params
Update miniconda path and get rid of condarc
Merge branch 'develop' of github.com:EducationalTestingService/skll into develop
Fix command ordering in .travis.yml
sampler with configurable parameters added. Also, some new test cases added and PEP verification done.
Fixed parameters list ('None' -> '')
Merge pull request #128 from nineil/feature/Sampler

Add kernel approximation samplers.
modified the scorers dictionary so that average F1 scores can be computed for binary classification rather than just having f1 for the positive class, which is the default (I believe support for this was added in scikit-learn some time in 2013)
Switch back to 3.3 for travis.yml until I can figure out why conda keeps saying GridMap isn't available for 3.4
Merge branch 'develop' of github.com:EducationalTestingService/skll into develop