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TST use global_dtype in sklearn/manifold/tests/test_t_sne.py #22675

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TST use global_dtype in sklearn/manifold/tests/test_t_sne.py #22675

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890481c
TST Adapt test_t_sne.py to test implementations on 32bit datasets
jjerphan Mar 3, 2022
7d6519a
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Mar 17, 2022
ad4bb17
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Mar 17, 2022
85409ce
TST Use global_dtype
jjerphan Mar 17, 2022
69a7e7d
Address review comments
jjerphan Mar 17, 2022
8e046aa
TST Fix parametrisation
jjerphan Mar 17, 2022
1d816be
Review comments
jjerphan Jun 10, 2022
5fb1aea
fixup! Review comments
jjerphan Jun 10, 2022
494b161
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Jun 10, 2022
e7f7bf9
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Oct 24, 2022
8850014
DOC Adapt tolerance for test_sparse_precomputed_distance
jjerphan Oct 25, 2022
2577885
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Nov 16, 2022
7d60054
Merge branch 'main' into tst/test_t_sne-32bit
jjerphan Dec 2, 2022
b9ec8eb
TST Remove test_init_not_available
jjerphan Dec 2, 2022
0f6f2b8
TST Adapt atol for `test_sparse_precomputed_distance` on float64
jjerphan Dec 2, 2022
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5 changes: 5 additions & 0 deletions sklearn/manifold/_t_sne.py
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Original file line number Diff line number Diff line change
Expand Up @@ -724,6 +724,11 @@ class TSNE(BaseEstimator):
LocallyLinearEmbedding : Manifold learning using Locally Linear Embedding.
SpectralEmbedding : Spectral embedding for non-linear dimensionality.

Notes
-----
TSNE only preserves inputs' dtypes when `init` is provided as a float64 numpy array.
In all the other cases, the outputs' dtype is float32.

References
----------

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