mirror of
https://github.com/Doctorado-ML/STree.git
synced 2025-08-15 07:26:01 +00:00
e19d10f6a7
* 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
36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
import setuptools
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import stree
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def readme():
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with open("README.md") as f:
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return f.read()
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VERSION = stree.__version__
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setuptools.setup(
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name="STree",
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version=stree.__version__,
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license=stree.__license__,
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description="Oblique decision tree with svm nodes",
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long_description=readme(),
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long_description_content_type="text/markdown",
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packages=setuptools.find_packages(),
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url=stree.__url__,
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author=stree.__author__,
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author_email=stree.__author_email__,
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keywords="scikit-learn oblique-classifier oblique-decision-tree decision-\
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tree svm svc",
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"License :: OSI Approved :: " + stree.__license__,
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"Programming Language :: Python :: 3.8",
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"Natural Language :: English",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Intended Audience :: Science/Research",
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],
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install_requires=["scikit-learn", "numpy", "ipympl"],
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test_suite="stree.tests",
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zip_safe=False,
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)
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