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codez  

Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow
View on CRAN: Click here


Download and install codez package within the R console
Install from CRAN:
install.packages("codez")

Install from Github:
library("remotes")
install_github("cran/codez")

Install by package version:
library("remotes")
install_version("codez", "1.0.0")



Attach the package and use:
library("codez")
Maintained by
Giancarlo Vercellino
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-23
Latest Update: 2022-09-23
Description:
Proposes Seq2seq Time-Feature Analysis using an Encoder-Decoder to project into latent space and a Forward Network to predict the next sequence.
How to cite:
Giancarlo Vercellino (2022). codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow. R package version 1.0.0, https://cran.r-project.org/web/packages/codez. Accessed 22 Dec. 2024.
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Complete documentation for codez
Functions, R codes and Examples using the codez R package
Some associated functions: amzn_aapl_fb . codez . 
Some associated R codes: codez.R . data.R . main.R .  Full codez package functions and examples
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