Skll

Fixed a bug where command-line scripts didn't work after previous release. (This should hopefully be the last of these rapid fire releases. We will add unit tests for these in the future.)

Fix missing `import sys` in `run_experiment.py`

Very minor bug fix release. Changes are:
- `main` functions for all utility scripts now take optional argument lists to make unit testing simpler (and not require subprocesses).
- Fix another bug that was causing missing "ablated features" lists in summary files.

Fix crash with `filter_megam` and `join_megam` due to references to old API.

Minor bug fix release. Changes are:
- Switch to joblib.dump and joblib.load for serialization (should fix 94)
- Switch to using official drmaa-python release now that it's updated on PyPI
- Fix issue where training examples were being loaded for pre-trained models (95)
- Change to using `entry_points` to generate scripts instead of `scripts` in `setup.py`, and utilities are now in a sub-package.

This release features mostly bug fixes, but also includes a few minor features:
- Change license to BSD 3 clause. Now any of our code could be added back into scikit-learn without licensing issues.
- Add gamma to default paramater search grid for SVC (84).
- Add `--verbose` flag to `run_experiment` to simplify debugging.
- Add support for wheel packaging.
- Fixed bug in `_write_summary_file` that prevented writing of summary files for `--ablation_all` experiments.
- Fixed SVR kernel string type issue (87).
- Fixed `fit_intercept` default value issue (88).
- Fixed incorrect error message (86)
- Tweaked `.travis.yml` to make builds a little faster.