Add distillation + minor fixes

v1.2.2

support old and new sklearn discretizer

Shrunk trees and data processing improvements

Shrunk trees added + data util improvements

Added models (C4.5, saps, greedytreeregressor) + remove experiments unnecessary files

Merge pull request #64 from csinva/saps

Remove experiments

Improved model printing

v1.0.3

fix boosted rules feat names

Add explain_classification_errors

• add function to explain classification errors
• improve string printing for several models, especially corels

v1.0.1

Rename RuleSets, update packaging code

New models + update docs

Add new classifiers, SlipperRuleClassifier, BOAClassifier, CorelsRuleListClassifier.

Cleaned up some discretizer code.

Updated docs.

Includes discretizers + SLIPPER

Adder support for SLIPPER and new discretizer algorithms.

Increased sklearn-compatibility

Increased compatibility with sklearn.

One API change: SLIM models now take alpha parameter in init function rather than lambda_reg parameter in fit function.

Include FPLasso, FPSkope

Refactor rule set functions and recombine to create FPLasso + FPSkope