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tkonopka
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umap
Uniform Manifold Approximation and Projection - R package
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Fixed n_jobs errors for umap-learn
#23
pteridin
closed
6 months ago
3
Type error in optimize_embedding
#22
ftlbiped
opened
1 year ago
3
Citing the package
#21
omarelgarwany
opened
1 year ago
1
when random_state is set automatically in config, it is not sufficient for reproducibility
#20
tkonopka
closed
1 year ago
1
umap() produces matrix instead of S3 object
#19
umasstr
closed
1 year ago
2
Problem with using custom metric
#18
Jayesh-Kumar-Sundaram
opened
2 years ago
2
missing value where TRUE/FALSE needed
#17
victor-moreno
closed
2 years ago
3
is there any spark version implementations?
#16
HCMY
closed
2 years ago
2
Sparse Matrix support
#15
altrabio
closed
2 years ago
4
Add support for umap-learn 0.5
#14
StaffanBetner
closed
2 years ago
4
Differences with Python version?
#13
slagtermaarten
closed
4 years ago
4
Intel MKL FATAL ERROR
#12
BastienNguyen
closed
4 years ago
3
Failed creating initial embedding; using random embedding instead
#11
bellenger-l
closed
4 years ago
3
predict() on a umap object with n_components=1 gets two errors -- Looks like missing drop=F
#10
JenniferSLyon
closed
5 years ago
2
predict() generates different predictions if called with multiple points at once versus called with each point individually
#9
JenniferSLyon
closed
5 years ago
7
min_dist not updating with Python backend
#8
lgaborini
closed
5 years ago
3
Update umap.R
#7
JenniferSLyon
closed
5 years ago
2
Allow for supervised/semi-supervised dimension reduction with labels
#6
ShanSabri
opened
6 years ago
1
Number of threads
#5
lmweber
closed
6 years ago
3
Error with n_components=1
#4
mbosio85
closed
6 years ago
3
transforming new data to an embedding
#3
sheffe
closed
6 years ago
3
method = "python" does not work
#2
gdkrmr
closed
6 years ago
1
CRAN
#1
gdkrmr
closed
6 years ago
3