Unfold v0.7.7
- new structured backbone for the solver. Added ~6-7 new solvers. Split up the solver into prepare & solve functions that can be chained / modified easily. Added a reference document for exactly this.
- major bug: likelihoodratiotest was calculating wrong results (it was calculating a wrong likelihood). This lead to a breaking change in API, where now the data need to be provided as well.
- Bumped JLD to 0.5 - this means one cannot save files now and load it in older Unfold versions, but old unfold version files can still be loaded
- several small docstring fixes
- new CUDAextension, allowing to provide CuArray to automatically choose a better solver (still needs to be tested more though)
- fit now has an argument that can be set fit=false to not actually run the ´fit!` function, to do it later
- benchmarks now available comparing ~7 solver types with and without GPU, some with and without Float32. Improvements of up to 10x of the SOA-GPU solver were achieved - fit a large model with 128 channels in wopping 8 seconds! Further tests are needed though to describe the accuracy drop that is achieved by solving
X'Xb = X'y
instead ofXb = y
directly.
Merged pull requests:
- predict tutorial (#219) (@behinger)
- better fit docs (#221) (@behinger)
- docs: add maxvanmigem as a contributor for bug (#222) (@allcontributors[bot])
- update to JLD 0.5 (#224) (@behinger)
- docs: add ReneSkukies as a contributor for code, and ideas (#226) (@allcontributors[bot])
- new solver system (#227) (@behinger)
- better benchmark structure (#228) (@behinger)
Closed issues: