[MRG] Sparse emd solution #109
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rflamary
changed the title
hichamjanati
reviewed
Dec 9, 2019
ot/lp/__init__.py
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| b = np.asarray(b, dtype=np.float64) | ||
| M = np.asarray(M, dtype=np.float64) | ||
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| sparse= not dense |
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Isn't this redundant ? if dense .. else ?
test/test_ot.py
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| M = ot.dist(x, x2) | ||
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| G = ot.emd([], [], M) |
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I would explicitly pass dense=True for clarity (and in case that changes in the future)
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In this PR, i work on making the emd function able to return sparse OT matrices.