TPOT: Where do I start?
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Misc{Le:2019:TPOT,
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author = "Trang T. Le",
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title = "{TPOT}: Where do I start?",
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howpublished = "www blog",
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year = "2019",
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month = nov # " 5",
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keywords = "genetic algorithms, genetic programming, TPOT,
AutoML",
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URL = "https://trang.page/2019/11/05/tpot-where-do-i-start/",
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abstract = "Tree-based Pipeline Optimization Tool (TPOT) is an
automated machine learning tool that helps the data
scientist find the optimal model pipeline for their
prediction problem. Using genetic programming (GP),
TPOT explores different pipelines (sequences of feature
selectors, model classifiers, etc.) and recommends one
with optimal cross-validated score after a specified
number of generations.",
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notes = "24 April
2021
http://epistasislab.github.io/tpot/
https://slides.com/trang1618/tpot-cic#/0/1
\cite{Orlenko:2018:PSB}",
- }
Genetic Programming entries for
Trang T Le
Citations