Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WE...
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Composition and parameterization of multicomponent predictive systems (MCPSs) consisting of chains of data transformation steps are a challenging task. Auto-WEKA is a tool to automate the combined algorithm selection and hyperparameter (CASH) optimization problem. In this paper, we extend the CASH problem and Auto-WEKA to support the MCPS, includin...
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Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA
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TN_cdi_proquest_journals_2080475257
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2080475257
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1612.08789
