You Don’t Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis

R-bloggers 2026-05-02

Summary:

rvflnet is an R package that implements a Random Vector Functional Link (RVFL) network. It is a nonlinear expressive version of glmnet that can be used for regression, classification and survival analysis.
Continue reading: You Don’t Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis

Link:

https://www.r-bloggers.com/2026/05/you-dont-need-to-learn-all-the-weights-on-tabular-data-the-case-for-rvflnet-a-nonlinear-expressive-glmnet-on-regression-classification-and-survival-analysis/

From feeds:

Statistics and Visualization » R-bloggers

Tags:

bloggers r

Authors:

T. Moudiki

Date tagged:

05/02/2026, 15:54

Date published:

05/01/2026, 20:00