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ELMR
View on CRAN: Click
here
Download and install ELMR package within the R console
Install from CRAN:
install.packages("ELMR")
Install from Github:
library("remotes")
install_github("cran/ELMR")
Install by package version:
library("remotes")
install_version("ELMR", "1.0")
Attach the package and use:
library("ELMR")
Maintained by
Alessio Petrozziello
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-28
Latest Update: 2015-11-28
Description:
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.
How to cite:
Alessio Petrozziello (2015). ELMR: Extreme Machine Learning (ELM). R package version 1.0, https://cran.r-project.org/web/packages/ELMR
Previous versions and publish date:
No previous versions
Other packages that cited ELMR R package
View ELMR citation profile
Other R packages that ELMR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ELMR R package
Some associated functions: OSelm_train.formula . OSelm_training . preProcess . predict_elm .
Some associated R codes: OSELM.R . kernels.R . Full ELMR package functions and examples
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