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-4.5)ELMR_1.0.zip(r-4.4)ELMR_1.0.zip(r-4.3)
ELMR_1.0.tgz(r-4.4-any)ELMR_1.0.tgz(r-4.3-any)
ELMR_1.0.tar.gz(r-4.5-noble)ELMR_1.0.tar.gz(r-4.4-noble)
ELMR_1.0.tgz(r-4.4-emscripten)ELMR_1.0.tgz(r-4.3-emscripten)
ELMR.pdf |ELMR.html✨
ELMR/json (API)

Peer review:

On CRAN:

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

4 exports 1 stars 0.09 score 0 dependencies 129 scripts 153 downloads

Last updated 9 years agofrom:90f2c9c2b2. Checks:OK: 7. Indexed: yes.

Exports:OSelm_train.formulaOSelm_trainingpredict_elmpreProcess

Dependencies: