Changes for version 0.02
- Added support for noisy data, currently by picking the best (most common) result when noise is encountered. See the 'noise_mode' parameter to new().
- Added the rule_tree() method, which returns a data structure representing the tree. [James Smith]
- Significantly sped up the train() method, especially for large data sets.
- The get_result() method is no longer implemented recursively, which simplifies it and speeds it up.
- Reformatted the documentation and added a TO DO section.
- Documented the nodes() method.
Modules
Automatically Learns Decision Trees