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codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based onTensorflow

Proposes Seq2seq Time-Feature Analysis using an Encoder-Decoder to project into latent space and a Forward Network to predict the next sequence.

Version:1.0.0
Depends:R (≥ 3.6)
Imports:purrr (≥ 0.3.4),abind (≥ 1.4-5),ggplot2 (≥ 3.3.6),readr (≥ 2.1.2),fANCOVA (≥ 0.6-1),imputeTS (≥ 3.2),modeest (≥2.4.0),scales (≥ 1.1.1),tictoc (≥ 1.0.1),tensorflow (≥2.9.0),keras (≥ 2.9.0),moments (≥ 0.14),narray (≥0.4.1.1),fastDummies (≥ 1.6.3),entropy (≥ 1.3.1),philentropy (≥ 0.5.0),greybox (≥ 1.0.1),lubridate (≥1.7.10)
Suggests:testthat (≥ 3.0.0),reticulate (≥ 1.26)
Published:2022-09-23
DOI:10.32614/CRAN.package.codez
Author:Giancarlo Vercellino [aut, cre, cph]
Maintainer:Giancarlo Vercellino <giancarlo.vercellino at gmail.com>
License:GPL-3
URL:https://rpubs.com/giancarlo_vercellino/codez
NeedsCompilation:no
Materials:NEWS
CRAN checks:codez results

Documentation:

Reference manual:codez.html ,codez.pdf

Downloads:

Package source: codez_1.0.0.tar.gz
Windows binaries: r-devel:codez_1.0.0.zip, r-release:codez_1.0.0.zip, r-oldrel:codez_1.0.0.zip
macOS binaries: r-release (arm64):codez_1.0.0.tgz, r-oldrel (arm64):codez_1.0.0.tgz, r-release (x86_64):codez_1.0.0.tgz, r-oldrel (x86_64):codez_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=codezto link to this page.


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