D.3: Auto-Weka

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• Short Description:

Tool that performs combined algorithm selection and hyperparameter optimization over the classification and regression algorithms implements in WEKA. Auto-WEKA explores hyperparameter settings for a number of algorithms and recommends to a user which method will likely have good generalization performance, using model-based optimization techniques.

• Reference, URL: https://www.cs.ubc.ca/labs/algorithms/Projects/autoweka/

• Relevant Domain/Industry: All/Smart Industry

• Application in relevant Projects/Initiatives:

• Type: Platform

• AI Breadth: ML

• Learning Ability: Supervised & Unsupervised learning

• Related technologies:

• Applicable Research Area:

• Applicable Technical Category:

• Applicable Business Category:

• Asset Type:

• License Information: GNU General Public License version 3

• Related to circularity and sustainability: Not directly

• Audience: Developers



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