Metadata-Version: 2.1
Name: AMLBID
Version: 0.3
Summary: Transparent and Auto-explainable AutoML
Home-page: https://github.com/LeMGarouani/AMLBID
Author: Moncef GAROUANI
Author-email: mgarouani@gmail.com
License: MIT
Project-URL: Github page, https://github.com/LeMGarouani/AMLBID
Project-URL: Documentation, https://github.com/LeMGarouani/AMLBID
Keywords: machine learning,Automated machine learning,explainability
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Dash
Classifier: Framework :: Flask
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE



AMLBID is a Python-Package representing a meta learning-based framework for automating the process of algorithm selection, and hyper-parameter tuning in supervised machine learning. Being meta-learning based, the framework is able to simulate the role of the machine learning expert as a decision support system. In particular, AMLBID is considered the first complete, transparent and auto-explainable AutoML system for recommending the most adequate ML configuration for a problem at hand, and explain the rationale behind the recommendation and analyzing the predictive results in an interpretable and faithful manner through an interactive multiviews artifact.


A deployed example can be found at https://colab.research.google.com/drive/1zpMdccwRsoWe8dmksp_awY5qBgkVwsHd?usp=sharing


