forked from pool/python-openTSNE
Markéta Machová
448b411df8
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-openTSNE?expand=0&rev=13
80 lines
3.5 KiB
Plaintext
80 lines
3.5 KiB
Plaintext
-------------------------------------------------------------------
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Tue Sep 3 09:44:28 UTC 2024 - Andreas Schwab <schwab@suse.de>
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- TestTSNECorrectnessUsingPrecomputedDistanceMatrix fails almost everywhere
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Fri Mar 22 20:48:51 UTC 2024 - Dirk Müller <dmueller@suse.com>
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- update to 1.0.1:
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* setup.py maintenance
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* drop Python 3.6 support
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* correctly implement dof parameter in exact BH implementation
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- drop get-numpy-include.patch (upstream)
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Thu Sep 14 13:26:03 UTC 2023 - Markéta Machová <mmachova@suse.com>
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- Update to 1.0.0
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* Given the longtime stability of openTSNE, it is only fitting
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that we release a v1.0.0.
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* Various documentation fixes
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* Include Python 3.11 in the test and build matrix
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* Uniform affinity kernel now supports mean and max mode
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- add get-numpy-include.patch
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Sun Mar 20 19:38:50 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 0.6.2
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* By default, we now use the MultiscaleMixture affinity model,
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enabling us to pass in a list of perplexities instead of a
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single perplexity value. This is fully backwards compatible.
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* Previously, perplexity values would be changed according to the
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dataset. E.g. we pass in perplexity=100 with N=150. Then
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TSNE.perplexity would be equal to 50. Instead, keep this value
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as is and add an effective_perplexity_ attribute (following the
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convention from scikit-learn, which puts in the corrected
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perplexity values.
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* Fix bug where interpolation grid was being prepared even when
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using BH optimization during transform.
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* Enable calling .transform with precomputed distances. In this
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case, the data matrix will be assumed to be a distance matrix.
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* Fix potential problem with clang-13, which actually does
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optimization with infinities using the -ffast-math flag
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- Enable python310 build
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- Skip a test in 32bit failing due to rounding errors
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Fri Feb 4 16:10:13 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 0.6.1
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* Remove affinites from TSNE construction, allow custom
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affinities and initialization in .fit method. This improves the
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API when dealing with non-tabular data. This is not backwards
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compatible.
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* Add metric="precomputed". This includes the addition of
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openTSNE.nearest_neighbors.PrecomputedDistanceMatrix and
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openTSNE.nearest_neighbors.PrecomputedNeighbors.
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* Add knn_index parameter to openTSNE.affinity classes.
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* Add (less-than-ideal) workaround for pickling Annoy objects.
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* Extend the range of recommended FFTW boxes up to 1000.
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* Remove deprecated openTSNE.nearest_neighbors.BallTree.
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* Remove deprecated openTSNE.callbacks.ErrorLogger.
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* Remove deprecated TSNE.neighbors_method property.
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* Add and set as default negative_gradient_method="auto".
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- Skip building on python310: gh#pavlin-policar/openTSNE#205
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-------------------------------------------------------------------
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Thu Apr 1 07:36:31 UTC 2021 - Bernhard Wiedemann <bwiedemann@suse.com>
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- Add python-openTSNE-disable-CPU-autodetection.patch (boo#1100677)
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-------------------------------------------------------------------
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Fri Jan 29 19:18:18 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- initial specfile for version 0.5.1
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- replaces python-fastTSNE
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- The pytest_arch macro needs the "Cepl-Strangelove-Parameter"
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(= specify --import-mode)
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