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Correct unsupervised version #6

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sylvchev opened this issue Jun 5, 2023 · 0 comments

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sylvchev commented Jun 5, 2023 •

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When no labels are provided, it is possible to use the unsupervised loss. The implemented version is not correct:

riemannianPCA/riemannianpca.py

Line 142 in 277e4b9

y = np.array([-1] * (n_samples // 2) + [1] * (n_samples // 2))

Intermediate possibility is to use only one label for all the data.

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