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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
2026-04-09 windows/windows R-4.5 | codez_1.0.0.zip |
105.0 KiB |
Dependencies (latest)
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)