Metadata-Version: 2.1
Name: olliepy
Version: 0.1.17
Summary: OlliePy is a python package which can help the data scientists in evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.
Home-page: https://ahmed-mohamed-sn.github.io/olliePy
License: MIT
Keywords: Python,Machine Learning,Interactive Reporting,VueJS
Author: ahmed.mohamed
Author-email: hanoush87@gmail.com
Requires-Python: >=3.6
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Legal Industry
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: flask (>=1.1.0)
Requires-Dist: ipython (>=7.0.0)
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: pycrypto (>=2.6.1)
Requires-Dist: scikit-learn (>=0.22)
Requires-Dist: scipy (>=1.3.0)
Project-URL: Repository, https://github.com/ahmed-mohamed-sn/olliePy
Description-Content-Type: text/markdown

# OlliePy - An alternative approach for evaluating ML models
> **OlliePy** is a python package which can help the data scientists in
> evaluating and analysing their machine learning experiments by
> utilising the power and structure of modern web applications. 
> The data scientist only needs to provide the data and any required 
> information and OlliePy will generate the rest.

### <br/>Get started by following the [**OlliePy** guide](https://ahmed-mohamed-sn.github.io/olliePy/)

