AMLBID 0.3

Transparent and Auto-explainable AutoML

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