Doctorado-ML/stree
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Ricardo Montañana ed98054f0d First approach 
Added max_depth, tol, weighted samples
2020-05-29 12:46:10 +02:00
data
Implement grapher and notebook to test it
2020-05-22 19:42:13 +02:00
notebooks
First approach
2020-05-29 12:46:10 +02:00
stree
First approach
2020-05-29 12:46:10 +02:00
.gitignore
compute predictor and store model in node
2020-05-13 00:12:05 +02:00
.travis.yml
Make project python package friendly
2020-05-23 23:40:33 +02:00
example.png
Implement grapher and notebook to test it
2020-05-22 19:42:13 +02:00
LICENSE
Initial commit
2020-05-09 23:01:30 +02:00
main.py
Make project python package friendly
2020-05-23 23:40:33 +02:00
README.md
First approach
2020-05-29 12:46:10 +02:00
requirements.txt
update requirements to alllow maptlot widget
2020-05-23 00:05:58 +02:00
setup.py
Make Stree a sklearn estimator
2020-05-25 19:51:39 +02:00

README.md

Build Status

Stree

Oblique Tree classifier based on SVM nodes

Stree

Installation

pip install git+https://github.com/doctorado-ml/stree

Examples

Jupyter notebooks

Slow launch but better integration
  • Binder Test notebook
Fast launch but have to run first commented out cell for setup

  • Test Test notebook

  • Test2 Another Test notebook

  • Test Graphics Test Graphics notebook

Command line

python main.py

Tests

python -m unittest -v stree.tests
Description
Oblique Tree classifier based on SVM nodes
machine-learningoblique-decision-treepythonsvmsvm-classifier
Readme MIT 11 MiB
Languages
Python 72.2%
Jupyter Notebook 26.9%
Makefile 0.9%