Metadata-Version: 2.1
Name: RapidML
Version: 0.1
Summary: Automated Machine Learning Model Creation, with corresponding model access via cloud through API
Home-page: https://github.com/ritabratamaiti/RapidML
Author: Ritabrata Maiti
Author-email: ritabratamaiti@hiretrex.com
License: LGPLv3
Keywords: Machine Learning API,pipeline optimization,hyperparameter optimization,data science,machine learning,genetic programming,evolutionary computation
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
Provides-Extra: skrebate
Provides-Extra: mdr
Provides-Extra: xgboost
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)
Requires-Dist: TPOT (>=0.9)
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'


This is a python tool that determines the best machine learing model using genetic programming, and then subsequently produces an API and saves models for further use.
Contact me for further queries.
Email: ritabratamaiti@hiretrex.com
Twitter: https://twitter.com/ritabratamaiti


