mirror of
https://github.com/dkam/decisiontree.git
synced 2025-12-28 07:04:53 +00:00
18 lines
869 B
Plaintext
Executable File
18 lines
869 B
Plaintext
Executable File
0.1.0 - Apr. 04/07
|
|
* ID3 algorithms for continuous and discrete cases
|
|
* Graphviz component to visualize the learned tree
|
|
|
|
0.2.0 - Jul. 07/07
|
|
* Modified and improved by Jose Ignacio (joseignacio.fernandez@gmail.com)
|
|
* Added support for multiple, and symbolic outputs and graphing of continuos trees.
|
|
* Modified to return the default value when no branches are suitable for the input.
|
|
* Refactored entropy code.
|
|
|
|
0.3.0 - Sept. 15/07
|
|
* ID3Tree can now handle inconsistent datasets.
|
|
* Ruleset is a new class that trains an ID3Tree with 2/3 of the training data,
|
|
converts it into a set of rules and prunes the rules with the remaining 1/3
|
|
of the training data (in a C4.5 way).
|
|
* Bagging is a bagging-based trainer (quite obvious), which trains 10 Ruleset
|
|
trainers and when predicting chooses the best output based on voting.
|