Package: codez 1.0.0

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

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

Authors:Giancarlo Vercellino [aut, cre, cph]

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manual.pdf |manual.html✨
card.svg |card.png
codez/json (API)
NEWS

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

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 scripts 226 downloads 1 exports 119 dependencies

Last updated from:d69abaf24b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK242
source / vignettesOK270
linux-release-x86_64OK226
macos-release-arm64OK142
macos-oldrel-arm64OK145
windows-develOK177
windows-releaseOK240
windows-oldrelOK169
wasm-releaseOK169

Exports:codez

Dependencies:abindaskpassbackportsbase64encbitbit64clicliprclueclustercolorspacecommonmarkconfigcpp11crayoncurldata.tableentropyfANCOVAfarverfastDummiesfBasicsforecastfracdiffgenericsggplot2ggtextgluegreyboxgridtextgssgtableherehmshttrimputeTSisobandjpegjsonlitekerasKernSmoothlabelinglatticelifecyclelitedownlmtestlubridatemagrittrmarkdownMASSMatrixmimemodeestmomentsnarraynlmenloptrnnetopensslphilentropypillarpkgconfigpngpoormanpracmaprettyunitsprocessxprogresspspurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppParallelRcppTOMLreadrreticulaterlangrmutilrpartrprojrootrstudioapiS7scalesspatialstablestablediststatipstatmodstinepackstringistringrsystensorflowtexregtfautographtfrunstibbletictoctidyselecttimechangetimeDatetimeSeriestzdburcautf8vctrsviridisLitevroomwhiskerwithrxfunxml2xtableyamlzeallotzoo

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