CRAN/E | codez

codez

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

Installation

About

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

rpubs.com/giancarlo_vercellino/codez

Key Metrics

Version 1.0.0
R ≥ 3.6
Published 2022-09-23 583 days ago
Needs compilation? no
License GPL-3
CRAN checks codez results

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Maintainer

Maintainer

Giancarlo Vercellino

giancarlo.vercellino@gmail.com

Authors

Giancarlo Vercellino

aut / cre / cph

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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