Awardee Organization(s): University of Washington
Principal Investigator(s): Clara Berridge, PhD, MSW
Official Project Title: Talking Tech With Dementia Care Dyads: Improving a Self-Administered Tool to Support Informed Decision Making About Technologies in the Home
AITC Partner: PennAITech
Website(s): https://socialwork.uw.edu/faculty/professors/clara-berridge
Xcessiv
July 22, 2024
by
Elizabeth
Xcessiv is an open-source, web-based application developed using Python and Javascript for automating and visualizing the model selection process, hyperparameter tuning, and feature extraction in machine learning. It provides a user-friendly interface for managing and executing experiments across multiple algorithms and datasets. Xcessiv employs models from the Scikit-learn package, supports parallel hyperparameter searches using Bayesian optimization, and enables easy management and comparison of hundreds of different model-hyperparameter combinations, easy stack ensemble creation, and automated ensemble construction. It can also export created stacked ensembles as a standalone Python file to support multiple levels of stacking.
Link: https://xcessiv.readthedocs.io/en/stable/
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