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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NEWS

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

Peer review:

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On CRAN:

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 188 downloads 1 exports 124 dependencies

Last updated 2 years agofrom:d69abaf24b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:codez

Dependencies:abindaskpassbackportsbase64encbitbit64clicliprclueclustercolorspacecommonmarkconfigcpp11crayoncurldata.tableentropyfANCOVAfansifarverfastDummiesfBasicsforecastfracdiffgenericsggplot2ggtextgluegreyboxgridtextgssgtableherehmshttrimputeTSisobandjpegjsonlitekerasKernSmoothlabelinglatticelifecyclelmtestlubridatemagrittrmarkdownMASSMatrixmgcvmimemodeestmomentsmunsellnarraynlmenloptrnnetopensslphilentropypillarpkgconfigpngpoormanpracmaprettyunitsprocessxprogresspspurrrquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadilloRcppTOMLreadrreticulaterlangrmutilrpartrprojrootrstudioapiscalesspatialstablestablediststatipstatmodstinepackstringistringrsystensorflowtexregtfautographtfrunstibbletictoctidyselecttimechangetimeDatetimeSeriestseriesTTRtzdburcautf8vctrsviridisLitevroomwhiskerwithrxfunxml2xtablextsyamlzeallotzoo

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