D.3: Auto-Weka: Difference between revisions

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


• '''Relevant Domain/Industry''': All/Smart Industry
• '''Relevant Domain/Industry''': All/Smart Industry
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• '''Application in relevant Projects/Initiatives''':  
• '''Application in relevant Projects/Initiatives''':  


• '''Type''':  
• '''Type''': Platform


• '''AI Breadth''':  
• '''AI Breadth''': ML


• '''Learning Ability''':
• '''Learning Ability''': Supervised & Unsupervised learning


• '''Related technologies''':
• '''Related technologies''':


• '''License Information''':  
• '''License Information''': GNU General Public License version 3


• '''Related to circularity and sustainability''':  
• '''Related to circularity and sustainability''': Not directly


• '''Audience''':  
• '''Audience''': Developers





Revision as of 13:47, 26 April 2023

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:

License Information: GNU General Public License version 3

Related to circularity and sustainability: Not directly

Audience: Developers



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