Metadata-Version: 2.1
Name: TPOT-SH
Version: 0.9.5
Summary: Tree-based Pipeline Optimization Tool - Successive Halving
Home-page: https://gitlab.society-lbl.com/lparmentier/tpot
Author: Parmentier Laurent
Author-email: lpyparmentier@gmail.com
License: GNU/LGPLv3
Keywords: pipeline optimization,hyperparameter optimization,data science,machine learning,genetic programming,evolutionary computation,successive-halving
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: numpy (>=1.12.1)
Requires-Dist: scipy (>=0.19.0)
Requires-Dist: scikit-learn (>=0.18.1)
Requires-Dist: deap (>=1.0)
Requires-Dist: update-checker (>=0.16)
Requires-Dist: tqdm (>=4.11.2)
Requires-Dist: stopit (>=1.1.1)
Requires-Dist: pandas (>=0.20.2)
Provides-Extra: dask
Requires-Dist: dask (>=0.18.2) ; extra == 'dask'
Requires-Dist: distributed (>=1.22.1) ; extra == 'dask'
Requires-Dist: dask-ml (>=0.9.0) ; extra == 'dask'
Provides-Extra: mdr
Requires-Dist: scikit-mdr (>=0.4.4) ; extra == 'mdr'
Provides-Extra: skrebate
Requires-Dist: skrebate (>=0.3.4) ; extra == 'skrebate'
Provides-Extra: xgboost
Requires-Dist: xgboost (==0.6a2) ; extra == 'xgboost'


A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

Contact
=============
If you have any questions or comments about TPOT, please feel free to contact the original creator of TPOT via:

E-mail: rso@randalolson.com

or Twitter: https://twitter.com/randal_olson

The original project is hosted at https://github.com/EpistasisLab/tpot