Simple Machine Learning library
mango (MAchine learniNG Orchestra) is a python API for quick machine learning experimentation. The idea is to read data from a CSV file and compare different machine learning models using cross-validation.
Much of the operations used to read the data and test machine learning models are repeated for different experiments and the goal here is to avoid this repetition by implementing wrappers of object from the main python libraries used in data science (e.g. scikit-learn, pandas and xgboost).
Most of the configuration needed is made through a JSON file. The JSON objects are read by wrappers for objects from different APIs. The parameters configured through JSON are the same used by scikit/pandas/xgboost objects so you don't need to code everything again.
Any suggestions can be send to my email: firstname.lastname@example.org
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|mangoml-0.0.2-py2-none-any.whl (33.5 kB) Copy SHA256 hash SHA256||Wheel||py2|
|mangoml-0.0.2.tar.gz (20.5 kB) Copy SHA256 hash SHA256||Source||None|