The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
jenga 2.0.0
- Added approximate nearest-neighbor search via custom projection
candidates.
- Added optional torch/CUDA distance acceleration with automatic CPU
fallback.
- Added probabilistic forecast distributions through configurable
simulation draws.
- Added split-conformal prediction intervals calibrated on validation
windows.
- Added multiscale sequence representations for neighbor
matching.
- Replaced philentropy binary-distance calls with custom vectorized
distance metrics and removed the dependency.
- Replaced utility dependencies for iteration, dummy encoding,
imputation, smoothing, timing, descriptive moments, entropy, numeric
error metrics, and KNN distances with local implementations.
- Expanded distance methods and kernels with additional
dependency-free implementations.
- Added sign-respecting filtering on final reconstructed draws before
forecast quantiles are computed.
- Enforced historical sign bounds after conformal calibration and in
forecast plots.
jenga 1.0.0
- Added a
NEWS.md file to track changes to the
package.
jenga 1.1.0
- common sense filter
- added stats to the prediction table (and removed pred_stats)
- added new criterion for model selection: prediction score
- added new metric measures for test error from greybox
- added automatic differentiation module (and removed deriv from
hyper-parameters)
jenga 1.2.0
- prediction score is now managed as a distinct metric and it is not
used for model selection
- streamlined code and processing
- matrix distance calculation: improved performance shifting from
philentropy to Rfast
- other minutiae
jenga 1.3.0
- Rationalization and streamlining
- Now you can deal also with categorical variables
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.