Package: ELMR 1.0

ELMR: Extreme Machine Learning (ELM)

Training and prediction functions are provided for the Extreme Learning Machine algorithm (ELM). The ELM use a Single Hidden Layer Feedforward Neural Network (SLFN) with random generated weights and no gradient-based backpropagation. The training time is very short and the online version allows to update the model using small chunk of the training set at each iteration. The only parameter to tune is the hidden layer size and the learning function.

Authors:Alessio Petrozziello [aut, cre]

ELMR_1.0.tar.gz
ELMR_1.0.zip(r-4.7)ELMR_1.0.zip(r-4.6)ELMR_1.0.zip(r-4.5)
ELMR_1.0.tgz(r-4.6-any)ELMR_1.0.tgz(r-4.5-any)
ELMR_1.0.tar.gz(r-4.7-any)ELMR_1.0.tar.gz(r-4.6-any)
ELMR_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ELMR/json (API)

# Install 'ELMR' in R:
install.packages('ELMR', repos = c('https://sojers92.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.15 score 1 stars 142 scripts 31 downloads 4 exports 0 dependencies

Last updated from:90f2c9c2b2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK120
linux-release-x86_64OK91
macos-release-arm64OK141
macos-oldrel-arm64OK140
windows-develOK62
windows-releaseOK51
windows-oldrelOK116
wasm-releaseOK117

Exports:OSelm_train.formulaOSelm_trainingpredict_elmpreProcess

Dependencies: