SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
-
Updated
Apr 17, 2019 - HTML
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.
Add a description, image, and links to the superlearner topic page so that developers can more easily learn about it.
To associate your repository with the superlearner topic, visit your repo's landing page and select "manage topics."