Towards Integrated Model-Based Machine Learning Experimentation Framework
Jomphon Runpakprakun, Jati Hiliamsyah Husen, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa · 2023
ML systems in critical applications, such as autonomous driving, require high-quality assurance and the ability to handle concept drift and performance drop. To address these challenges, we propose an integrated system between the Multi-view Modeling tool to the automated pipeline for the ML Model Training and DNN Repair. Our preliminary integration and experiment has shown promising result.