unfold
Mapping Hidden Geometry into Future Sequences
A variational mapping approach that reveals and expands future temporal dynamics from folded high-dimensional geometric distance spaces, unfold turns a set of time series into a 4D block of pairwise distances between reframed windows, learns a variational mapper that maps those distances to the next reframed window, and produces horizon-wise predictive functions for each input series. In short: it unfolds the future path of each series from a folded geometric distance representation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | unfold_1.0.1.tar.gz |
146.5 KiB |
1.0.1 |
rolling linux/noble R-4.5 | unfold_1.0.1.tar.gz |
146.4 KiB |
1.0.1 |
rolling source/ R- | unfold_1.0.1.tar.gz |
38.1 KiB |
1.0.1 |
latest linux/jammy R-4.5 | unfold_1.0.1.tar.gz |
146.5 KiB |
1.0.1 |
latest linux/noble R-4.5 | unfold_1.0.1.tar.gz |
146.4 KiB |
1.0.1 |
latest source/ R- | unfold_1.0.1.tar.gz |
38.1 KiB |
1.0.1 |
2026-04-26 source/ R- | unfold_1.0.1.tar.gz |
38.1 KiB |
1.0.1 |
2026-04-23 source/ R- | unfold_1.0.1.tar.gz |
38.1 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | unfold_1.0.0.zip |
148.8 KiB |