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https://github.com/Doctorado-ML/STree.git
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43 lines
1.8 KiB
Markdown
43 lines
1.8 KiB
Markdown
[](https://travis-ci.com/Doctorado-ML/STree)
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[](https://codecov.io/gh/doctorado-ml/stree)
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[](https://www.codacy.com/gh/Doctorado-ML/STree?utm_source=github.com&utm_medium=referral&utm_content=Doctorado-ML/STree&utm_campaign=Badge_Grade)
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# Stree
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Oblique Tree classifier based on SVM nodes. The nodes are built and splitted with sklearn LinearSVC models.Stree is a sklearn estimator and can be integrated in pipelines, grid searches, etc.
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## Installation
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```bash
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pip install git+https://github.com/doctorado-ml/stree
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```
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## Examples
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### Jupyter notebooks
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##### Slow launch but better integration
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* [](https://mybinder.org/v2/gh/Doctorado-ML/STree/master?urlpath=lab/tree/notebooks/test.ipynb) Test notebook
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##### Fast launch but have to run first commented out cell for setup
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* [](https://colab.research.google.com/github/Doctorado-ML/STree/blob/master/notebooks/test.ipynb) Test notebook
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* [](https://colab.research.google.com/github/Doctorado-ML/STree/blob/master/notebooks/test2.ipynb) Another Test notebook
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* [](https://colab.research.google.com/github/Doctorado-ML/STree/blob/master/notebooks/test_graphs.ipynb) Test Graphics notebook
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### Command line
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```bash
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python main.py
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```
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## Tests
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```bash
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python -m unittest -v stree.tests
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```
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