nestedhyperboost

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0.0.3 nestedhyperboost-0.0.3-py3-none-any.whl

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Project: nestedhyperboost
Version: 0.0.3
Filename: nestedhyperboost-0.0.3-py3-none-any.whl
Download: [link]
Size: 30933
MD5: f45fa43a8ac37b9bf28598ab51d51e27
SHA256: 8af9a9b8dd542d0744e6448ad725f59e8946b7f850a17a0b43288659d92e9601
Uploaded: 2020-04-06 02:54:10 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: nestedhyperboost
Version: 0.0.3
Summary: A wrapper for conducting Nested Cross-Validation with Bayesian Hyper-Parameter Optimized Gradient Boosting
Author: Nick Kunz
Author-Email: nick.kunz[at]me.com
Home-Page: https://github.com/nickkunz/nestedhyperboost
Keywords: nested cross-validation,bayesian optimization,gradient boosting,xgboost,lightgbm,catboost
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: sklearn
Requires-Dist: hyperopt
Requires-Dist: xgboost
Requires-Dist: lightgbm
Requires-Dist: catboost
Description-Content-Type: text/markdown
[Description omitted; length: 5167 characters]

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top_level.txt

nestedhyperboost