all AI news
pystacked: Stacking generalization and machine learning in Stata. (arXiv:2208.10896v1 [econ.EM])
Aug. 24, 2022, 1:12 a.m. | Achim Ahrens, Christian B. Hansen, Mark E. Schaffer
stat.ML updates on arXiv.org arxiv.org
pystacked implements stacked generalization (Wolpert, 1992) for regression
and binary classification via Python's scikit-lear}. Stacking combines multiple
supervised machine learners -- the "base" or "level-0" learners -- into a
single learner. The currently supported base learners include regularized
regression, random forest, gradient boosted trees, support vector machines, and
feed-forward neural nets (multi-layer perceptron). pystacked can also be used
with as a `regular' machine learning program to fit a single base learner and,
thus, provides an easy-to-use API for scikit-learn's machine …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US