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Metadata-Version: 2.1 | ||
Name: unifiedbooster | ||
Version: 0.5.0 | ||
Summary: Unified interface for Gradient Boosted Decision Trees | ||
Home-page: https://github.com/thierrymoudiki/unifiedbooster | ||
Author: T. Moudiki | ||
Author-email: [email protected] | ||
License: BSD license | ||
Keywords: unifiedbooster | ||
Classifier: Development Status :: 2 - Pre-Alpha | ||
Classifier: Intended Audience :: Developers | ||
Classifier: License :: OSI Approved :: BSD License | ||
Classifier: Natural Language :: English | ||
Classifier: Programming Language :: Python :: 3 | ||
Classifier: Programming Language :: Python :: 3.6 | ||
Classifier: Programming Language :: Python :: 3.7 | ||
Classifier: Programming Language :: Python :: 3.8 | ||
Requires-Python: >=3.6 | ||
License-File: LICENSE | ||
Requires-Dist: Cython | ||
Requires-Dist: numpy | ||
Requires-Dist: scikit-learn | ||
Requires-Dist: xgboost | ||
Requires-Dist: lightgbm | ||
Requires-Dist: catboost | ||
Requires-Dist: GPopt | ||
Requires-Dist: nnetsauce | ||
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Unified interface for Gradient Boosted Decision Trees |
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LICENSE | ||
README.md | ||
setup.py | ||
unifiedbooster/__init__.py | ||
unifiedbooster/gbdt.py | ||
unifiedbooster/gbdt_classification.py | ||
unifiedbooster/gbdt_regression.py | ||
unifiedbooster/gpoptimization.py | ||
unifiedbooster.egg-info/PKG-INFO | ||
unifiedbooster.egg-info/SOURCES.txt | ||
unifiedbooster.egg-info/dependency_links.txt | ||
unifiedbooster.egg-info/entry_points.txt | ||
unifiedbooster.egg-info/not-zip-safe | ||
unifiedbooster.egg-info/requires.txt | ||
unifiedbooster.egg-info/top_level.txt | ||
unifiedbooster/nonconformist/__init__.py | ||
unifiedbooster/nonconformist/acp.py | ||
unifiedbooster/nonconformist/base.py | ||
unifiedbooster/nonconformist/cp.py | ||
unifiedbooster/nonconformist/evaluation.py | ||
unifiedbooster/nonconformist/icp.py | ||
unifiedbooster/nonconformist/nc.py | ||
unifiedbooster/nonconformist/util.py |
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[console_scripts] | ||
unifiedbooster = unifiedbooster.cli:main |
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Cython | ||
numpy | ||
scikit-learn | ||
xgboost | ||
lightgbm | ||
catboost | ||
GPopt | ||
nnetsauce |
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unifiedbooster |
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The MIT License (MIT) | ||
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nonconformist package: | ||
Copyright (c) 2015 Henrik Linusson | ||
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Other extensions: | ||
Copyright (c) 2019 Yaniv Romano | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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#!/usr/bin/env python | ||
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""" | ||
docstring | ||
""" | ||
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# Authors: Henrik Linusson | ||
# Yaniv Romano modified np.py file to include CQR | ||
# T. Moudiki modified __init__.py to import classes | ||
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# __version__ = '2.1.0' | ||
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from .nc import ( | ||
AbsErrorErrFunc, | ||
QuantileRegErrFunc, | ||
RegressorNc, | ||
RegressorNormalizer, | ||
) | ||
from .cp import IcpRegressor, TcpClassifier | ||
from .icp import IcpClassifier | ||
from .base import RegressorAdapter | ||
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__all__ = [ | ||
"AbsErrorErrFunc", | ||
"QuantileRegErrFunc", | ||
"RegressorAdapter", | ||
"RegressorNc", | ||
"RegressorNormalizer", | ||
"IcpRegressor", | ||
] |
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