- Added new versions of kappa metrics that make it so adjacent ratings are
not penalized. For example, 1 and 2 will be considered to be equal,
whereas 1 and 3 will have a difference of 1 for when building the weights
matrix.
- Cleaned up a bit of the Sphinx documentation.
- Each module now has its own separate logger, which should make logging
messages more informative.
- Made handling of non-convertible IDs when using `ids_to_floats` uniform
across date file types. All will now raise a `ValueError` when faced
with a string that does not look like a float.
- Now raise an error when duplicate feature names are encountered in .megam
files.
- No longer set `compute_importances` for learner based on decision trees,
since that is no longer necessary as of scikit-learn 0.14.