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* Add first doc info to sources * Update doc to separate classes in api * Refactor build_predictor * Fix random_sate issue in non linear kernels * Refactor score method using base class implementation * Some quality refactoring * Fix codecov config. * Add sigmoid kernel * Refactor setup and add Makefile
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# Stree
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[](https://app.codeship.com/projects/399170)
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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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Oblique Tree classifier based on SVM nodes. The nodes are built and splitted with sklearn SVC models. Stree is a sklearn estimator and can be integrated in pipelines, grid searches, etc.
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## License
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STree is [MIT](https://github.com/doctorado-ml/stree/blob/master/LICENSE) licensed
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