* Support for both classification- and regression-type supervision * Access to all Keras losses for supervised dimensionality reduction * Bug fixes and performance improvements
1.3.0
This release introduces a number of new features into `ivis`:
* Windows support * Code changes to support `ivis` on Python2 * R package received a major facelift - with big thanks to JOSS reviewers * Added cosine distance metric in triplet loss function * Minor bug fixes and performance improvements
1.2.4
Appropriate contribution assignments.
1.2.3-joss `ivis` release following feedback from JOSS review.
1.2.3
Support for sparse matrices in supervised mode Bug fixes
1.2.2
Added callbacks and sanity checks during module imports