Curious about why tmt.reduce() method is faster than Bertopic's original UMAP method?

[xiongot]

For the same docs, my dimensionality reduction in Bertopic costed 1.5 hour but tmt.reduce() only costed 10 more mins.

The following is the output of tmt.reduce():

UMAP(angular rp forest=True, metric='cosine, min dist=0.0, n components=5,n neighbors=5,random state=473921,verbose=2
Wed Jan 1 00:40:47 2024 Construct fuzzy simplicial set
Wed Jan 10 00:40:48 2024 Finding Nearest Neighbors
Wed Jan 10 00:40:48 2024 Building Rp forest with 37 trees
Wed Jan 10 00:41:012024 NN descent for 19 iterations
1 / 19
2 /19
3 / 19
4/19
Stopping threshold met -- exiting after 4 iterations
Wed Jan 10 00:41:30 2024 Finished Nearest Neighbor Search
Wed Jan 10 00:41:34 2024 Construct embedding
Epochs completed:0%
0/209[00:091
completede/200 epochs
completed200 epochs29/
40200 epochscompleted
60200 epochscompleted
completed80200 epochs
completed100200 epochs
completed120200 epochs-
completed140200 epochs
completed160200 epochs1
completed 180200 epochs
Wed Jan 10 00:54:18 2024 Finished embedding