Releases: tohtsky/irspack
Releases · tohtsky/irspack
v0.4.0
What's Changed
- Add Python 3.13 Support by @marevol in #108
- update wheels.yml by @tohtsky in #109
- Use cibw official GHA by @tohtsky in #110
- disable except for linux by @tohtsky in #111
- Use Nanobind && Numpy >=2 by @tohtsky in #112
- Fix build by @tohtsky in #113
New Contributors
Full Changelog: v0.3.1...v0.4.0
v0.3.1
v0.3.0
What's Changed
df_to_sparsefunction improved. Ifuser_ids/item_idsare provided, DataFrame row with unknown user/item ID will be ignored.- The function arguments with names
**_colnameis renamed to**_column. See #99. - Deleted
IDMappedRecommender. Instead, useItemIDMapperfor item id <-> sparse matrix column index mappingsIDMapperfor user/item <-> sparse matrix row/column index mappings
- Added NeuMF-type evaluation example
- Removed
*Optimizerclass. Recommender performance can be now tuned by**Recommender.tuneclass method. - Move to
src/irspacklayout & always use relative import.
Full Changelog: v0.2.4...v0.3.0
v0.2.4
v0.2.3
v0.2.2
v0.2.1
v0.2.0
What's Changed
Full Changelog: v0.1.20...v0.2.0
Breaking Changes
- iALS's confidence parameter
alphais now reparametrized byalpha0 = 1 / alpha(roughtly) following "Revisiting the Performance of iALS on Item Recommendation Benchmarks" - Dropped the user cold start module.