Releases: Mega-DatA-Lab/SpectralLDA-Spark
Releases · Mega-DatA-Lab/SpectralLDA-Spark
Relax the number of orthogonal topic fragments to recover
- Relax the number of orthogonal topic fragments to recover
- Compute projection dimension for Randomised SVD following theoretical bounds
Ref:
Samet Oymak, Joel A. Tropp, Universality laws for randomized dimension reduction, with applications.
Minimise and refactor
- Minimised the number of hyper-parameters
- Fine-tuned determination of sign of every factor vector
- l1-simplex projection of beta disabled by default
- Rename Organisation to
megadata
, refactored the class hierarchy - Minimal
build.sbt
. The repo is ready to be Published into any public Maven Repository e.g http://central.sonatype.org/pages/ossrh-guide.html - Updated usage guide in README
Maintenance
- Fix for Spark 2.1.0