MCompare

Open Source Machine learning Model Wrapper & Comparison Tool

MCompare (Model Compare) is an easy way to track experiments relating to your Machine Learning Models.

What is MCompare?

MCompare is a python package that simplifies the data science process. It enables for quick comparison between models, the ability to track all the relevant artifacts relating to an experiment and providing all the extra functionality required to understand more about models (e.g. Learning Charts).

What does MCompare contain?

• Wrapper for Classification and Regression models
• Track the data used within each iteration for a model
• Compare metrics related to different models
• Track your metrics related to your experiment
• Visualise confusion matrix
• Plot learning curves, ROCAUC charts and more

How to install

You have two options, either you can clone this repo and edit the code as you wish, or you can install it using pip: > pip install mcompare==1.0.0

Requirements

numpy==1.19.2 pandas==1.1.2 imbalanced-learn==0.7.0 imblearn==0.0 xgboost==1.2.0 matplotlib==3.3.2

Helpful Guide

In order to see a helpful guide, please look at the notebook provided in this [repo](/mcompare_example.ipynb).