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Why does transform return different embeddings for the same data?
transform
model = UMAP_(transpose(data), 2; n_neighbors=15, min_dist=0.1) UMAP.transform(model, transpose(data[1:20,:]))
results in
2×20 Matrix{Float32}: -7.9815 8.59674 -7.18658 7.90244 … -2.41209 2.69043 4.15093 -2.66961 0.89672 -3.72272 6.20439 7.94941 -7.61004 -8.79426
Transforming the same data a second time results in a different embedding:
UMAP.transform(model, transpose(data[1:20,:]))
2×20 Matrix{Float32}: -7.99711 8.49432 -7.27412 7.844 … -2.32314 2.682 4.33971 -2.75653 1.0201 -3.63024 5.85082 8.06509 -7.60372 -8.87176
Do I have to fix a certain random seed to get identical embeddings?
The text was updated successfully, but these errors were encountered:
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Why does
transform
return different embeddings for the same data?results in
Transforming the same data a second time results in a different embedding:
results in
Do I have to fix a certain random seed to get identical embeddings?
The text was updated successfully, but these errors were encountered: