d-tree 0.0.1

• Decision tree library for D

[[https://travis-ci.org/ShigekiKarita/d-tree][file:https://travis-ci.org/ShigekiKarita/d-tree.svg?branch=master]] [[https://codecov.io/gh/ShigekiKarita/d-tree][file:https://codecov.io/gh/ShigekiKarita/d-tree/branch/master/graph/badge.svg]]

getting started

#+beginsrc $ curl https://dlang.org/install.sh | bash -s # install dlang compiler $ source ~/dlang//activate $ cd example/plotdtreeboundary $ dub run $ xdg-open *.png #+endsrc

• single decision tree classification result

[[./example/plotboundary/plotdtree_gini.png]]

• random forest classification result

[[./example/plotboundary/plotforest_gini.png]]

• single decision tree regression result in example/sin_regression

[[./example/sinregression/plottree.png]]

• random forest regression result in example/sin_regression

[[./example/sinregression/plotforest.png]]

** Roadmap

• DONE Classification tree (2/6)
• DONE Random forest (2/7)
• DONE Regression tree (2/9)
• TODO bootstrap sampling in RF
• TODO Gradient boosting
• TODO Parallel processing
• TODO Serialization
• TODO Support libsvm format

** Reference

• [[https://web.stanford.edu/~hastie/Papers/ESLII.pdf][The Elements of Statistical Learning 2nd Edition]]
• [[https://arxiv.org/pdf/1603.02754.pdf][XGBoost: A Scalable Tree Boosting System]]