Package: TSLSTMplus 1.0.6

TSLSTMplus: Long-Short Term Memory for Time-Series Forecasting, Enhanced

The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Customizable configurations for the model are allowed, improving the capabilities and usability of this model compared to other packages. This package is based on 'keras' and 'tensorflow' modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Authors:Jaime Pizarroso Gonzalo [aut, ctb, cre], Antonio Muñoz San Roque [aut]

TSLSTMplus_1.0.6.tar.gz
TSLSTMplus_1.0.6.zip(r-4.7-any)TSLSTMplus_1.0.6.zip(r-4.6-any)TSLSTMplus_1.0.6.zip(r-4.5-any)
TSLSTMplus_1.0.6.tgz(r-4.6-any)TSLSTMplus_1.0.6.tgz(r-4.5-any)
TSLSTMplus_1.0.6.tar.gz(r-4.7-any)TSLSTMplus_1.0.6.tar.gz(r-4.6-any)
TSLSTMplus_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TSLSTMplus/json (API)

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

Bug tracker:https://github.com/jaipizgon/tslstmplus/issues

On CRAN:

Conda:

2.70 score 4 scripts 301 downloads 5 exports 34 dependencies

Last updated from:e8d6ff7882. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK173
linux-releaseOK143
macos-releaseOK182
macos-oldrelOK186
windows-develOK83
windows-releaseOK74
windows-oldrelOK78
wasm-releaseOK106

Exports:lagmatrixLSTMModelminmax_scalets.lstmts.prepare.data

Dependencies:abindbackportsbase64enccliconfiggenericsglueherejsonlitekeraslatticelifecyclemagrittrMatrixpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryamlzeallot