What is recorded here?
Represents general-purpose preprocessing, feature selection and classifier combinations as trees, and uses genetic programming with a complexity-aware Pareto variant to optimize pipelines.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This software-only record does not curate its application-domain studies. The original repeatedly uses a split called the testing set as search fitness; those search-selected scores are not automatically independent held-out generalization evidence. Genetic programming, NSGA-II and scikit-learn operators are inherited.
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People and systems
Randal S. Olson; Nathan Bartley; Ryan J. Urbanowicz; Jason H. Moore
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
TPOT tree-based learning-pipeline optimization
Represents general-purpose preprocessing, feature selection and classifier combinations as trees, and uses genetic programming with a complexity-aware Pareto variant to optimize pipelines.
Scientific scope
This software-only record does not curate its application-domain studies. The original repeatedly uses a split called the testing set as search fitness; those search-selected scores are not automatically independent held-out generalization evidence. Genetic programming, NSGA-II and scikit-learn operators are inherited.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Randal S. Olson; Nathan Bartley; Ryan J. Urbanowicz; Jason H. Moore
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.