temper
Temporal Encoder-Masked Probabilistic Ensemble Regressor
Implements a probabilistic ensemble time-series forecaster that combines an auto-encoder with a neural decision forest whose split variables are learned through a differentiable feature-mask layer. Functions are written with 'torch' tensors and provide CRPS (Continuous Ranked Probability Scores) training plus mixture-distribution post-processing.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | temper_1.1.0.tar.gz |
112.9 KiB |
1.1.0 |
rolling linux/noble R-4.5 | temper_1.1.0.tar.gz |
112.8 KiB |
1.1.0 |
rolling source/ R- | temper_1.1.0.tar.gz |
34.9 KiB |
1.1.0 |
latest linux/jammy R-4.5 | temper_1.1.0.tar.gz |
112.9 KiB |
1.1.0 |
latest linux/noble R-4.5 | temper_1.1.0.tar.gz |
112.8 KiB |
1.1.0 |
latest source/ R- | temper_1.1.0.tar.gz |
34.9 KiB |
1.1.0 |
2026-04-26 source/ R- | temper_1.1.0.tar.gz |
34.9 KiB |
1.1.0 |
2026-04-23 source/ R- | temper_1.1.0.tar.gz |
34.9 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | temper_1.1.0.zip |
115.5 KiB |