tkonopka/umap

Issues

• Type error in optimize_embedding

  #22 opened a year ago by ftlbiped
  3

• Citing the package

  #21 opened 2 years ago by omarelgarwany
  1

• when random_state is set automatically in config, it is not sufficient for reproducibility

  #20 opened 2 years ago by tkonopka
  1

• umap() produces matrix instead of S3 object

  #19 opened 2 years ago by umasstr
  2

• Problem with using custom metric

  #18 opened 2 years ago by Jayesh-Kumar-Sundaram
  2

• missing value where TRUE/FALSE needed

  #17 opened 2 years ago by victor-moreno
  3

• is there any spark version implementations?

  #16 opened 3 years ago by HCMY
  2

• Add support for umap-learn 0.5

  #14 opened 3 years ago by StaffanBetner
  4

• Sparse Matrix support

  #15 opened 3 years ago by altrabio
  4

• Differences with Python version?

  #13 opened 5 years ago by slagtermaarten
  4

• Failed creating initial embedding; using random embedding instead

  #11 opened 5 years ago by bellenger-l
  3

• Intel MKL FATAL ERROR

  #12 opened 5 years ago by BastienNguyen
  3

• predict() on a umap object with n_components=1 gets two errors -- Looks like missing drop=F

  #10 opened 5 years ago by JenniferSLyon
  2

• predict() generates different predictions if called with multiple points at once versus called with each point individually

  #9 opened 5 years ago by JenniferSLyon
  7

• min_dist not updating with Python backend

  #8 opened 6 years ago by lgaborini
  3

• Allow for supervised/semi-supervised dimension reduction with labels

  #6 opened 6 years ago by ShanSabri
  1

• Number of threads

  #5 opened 6 years ago by lmweber
  3

• Error with n_components=1

  #4 opened 6 years ago by mbosio85
  3

• transforming new data to an embedding

  #3 opened 6 years ago by sheffe
  3

• CRAN

  #1 opened 6 years ago by gdkrmr
  3

• method = "python" does not work

  #2 opened 6 years ago by gdkrmr
  1