Changelog for python310-openTSNE-1.0.1-1.2.x86_64.rpm :

* Fri Mar 22 2024 Dirk Müller - update to 1.0.1:
* setup.py maintenance
* drop Python 3.6 support
* correctly implement dof parameter in exact BH implementation- drop get-numpy-include.patch (upstream)
* Thu Sep 14 2023 Markéta Machová - Update to 1.0.0
* Given the longtime stability of openTSNE, it is only fitting that we release a v1.0.0.
* Various documentation fixes
* Include Python 3.11 in the test and build matrix
* Uniform affinity kernel now supports mean and max mode- add get-numpy-include.patch
* Sun Mar 20 2022 Ben Greiner - Update to 0.6.2
* By default, we now use the MultiscaleMixture affinity model, enabling us to pass in a list of perplexities instead of a single perplexity value. This is fully backwards compatible.
* Previously, perplexity values would be changed according to the dataset. E.g. we pass in perplexity=100 with N=150. Then TSNE.perplexity would be equal to 50. Instead, keep this value as is and add an effective_perplexity_ attribute (following the convention from scikit-learn, which puts in the corrected perplexity values.
* Fix bug where interpolation grid was being prepared even when using BH optimization during transform.
* Enable calling .transform with precomputed distances. In this case, the data matrix will be assumed to be a distance matrix.
* Fix potential problem with clang-13, which actually does optimization with infinities using the -ffast-math flag- Enable python310 build- Skip a test in 32bit failing due to rounding errors
* Fri Feb 04 2022 Ben Greiner - Update to 0.6.1
* Remove affinites from TSNE construction, allow custom affinities and initialization in .fit method. This improves the API when dealing with non-tabular data. This is not backwards compatible.
* Add metric=\"precomputed\". This includes the addition of openTSNE.nearest_neighbors.PrecomputedDistanceMatrix and openTSNE.nearest_neighbors.PrecomputedNeighbors.
* Add knn_index parameter to openTSNE.affinity classes.
* Add (less-than-ideal) workaround for pickling Annoy objects.
* Extend the range of recommended FFTW boxes up to 1000.
* Remove deprecated openTSNE.nearest_neighbors.BallTree.
* Remove deprecated openTSNE.callbacks.ErrorLogger.
* Remove deprecated TSNE.neighbors_method property.
* Add and set as default negative_gradient_method=\"auto\".- Skip building on python310: gh#pavlin-policar/openTSNE#205
* Thu Apr 01 2021 Bernhard Wiedemann - Add python-openTSNE-disable-CPU-autodetection.patch (boo#1100677)
* Fri Jan 29 2021 Ben Greiner - initial specfile for version 0.5.1- replaces python-fastTSNE- The pytest_arch macro needs the \"Cepl-Strangelove-Parameter\" (= specify --import-mode)