Package: AutoNN 0.1.0

AutoNN: Automatic Neural Network Modeling for Time Series Forecasting

Provides optimal combinations of input nodes and hidden neurons for fitting feedforward single-layer artificial neural networks in time series forecasting. Models are evaluated using root mean square error, mean absolute percentage error, and mean absolute error measures.

Authors:S. Vishnu Shankar [aut, cre], V. Lavanya [aut]

AutoNN_0.1.0.tar.gz
AutoNN_0.1.0.zip(r-4.7)AutoNN_0.1.0.zip(r-4.6)AutoNN_0.1.0.zip(r-4.5)
AutoNN_0.1.0.tgz(r-4.6-any)AutoNN_0.1.0.tgz(r-4.5-any)
AutoNN_0.1.0.tar.gz(r-4.7-any)AutoNN_0.1.0.tar.gz(r-4.6-any)
AutoNN_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AutoNN/json (API)

# Install 'AutoNN' in R:
install.packages('AutoNN', repos = c('https://vishnumrstat.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.

1.00 score 1 exports 38 dependencies

Last updated from:5a38b63cbe. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK153
source / vignettesOK199
linux-release-x86_64OK118
macos-release-arm64OK99
macos-oldrel-arm64OK76
windows-develOK97
windows-releaseOK70
windows-oldrelOK73
wasm-releaseOK100

Exports:AutoNN

Dependencies:bitopscaToolsclicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclelmtestmagrittrMLmetricsnlmennetR6RColorBrewerRcppRcppArmadillorlangROCRS7scalestimeDateurcavctrsviridisLitewithrzoo