trent-b/iterative-stratification

Issues

• Getting slightly worse performance than sklearn.model_selection.ShuffleSplit

  #30 opened a year ago by StevenGubkin
  1

• Unable to set random_state without setting shuffle=True

  #29 opened a year ago by raahilshah
  0

• Unable to create a small sample of 1000 train and 100 using MultilabelStratifiedShuffleSplit

  #15 opened 3 years ago by meltedhead
  3

• Error using MultilabelStratifiedKFold

  #25 opened 2 years ago by robertogarces
  4

• Adding importance to certain labels?

  #28 opened 2 years ago by dyhan316
  2

• does this work with multiclass+multilabel targets?

  #27 opened 2 years ago by dyhan316
  4

• Possibility to do stratification with multi-output multi-class (multi-target) data

  #26 opened 2 years ago by bundit786
  3

• Ability to set a custom fold proportions for MultilabelStratifiedKFold (pass "r" to IterativeStratification)

  #13 opened 2 years ago by lopuhin
  3

• Is it possible to calculate the total number of all possible splits?

  #16 opened 2 years ago by whatever60
  2

• Do we need X for `split`

  #23 opened 2 years ago by sachinruk
  2

• Single split

  #21 opened 3 years ago by sachinruk
  1

• Future Warning from sklearn

  #20 opened 3 years ago by ayhokuyan
  1

• Incompatibility with scikit-learn 1.0 in latest release

  #18 opened 3 years ago by lunik1
  4

• MultilabelStratifiedShuffleSplit Out Of Memory problem

  #17 opened 3 years ago by htw5295
  1

• Different percentage of samples for each label after using MultilabelStratifiedKFold

  #14 opened 3 years ago by Lance0218
  2

• Can't install it in kaggle notebook

  #12 opened 4 years ago by saurabhkthakur
  1

• Group kfold

  #10 opened 4 years ago by K-Mike
  1

• Startified folds based on multiple columns + column of multi-labels.

  #9 opened 4 years ago by SoufianeDataFan
  1

• how to use iterative-stratification to split the dataset into train, validation and test set?

  #8 opened 4 years ago by xyus
  1

• Publication

  #7 opened 5 years ago by miguelwon
  1

• Balanced sample with low number of one of the classes

  #6 opened 5 years ago by miguelwon
  3

• random_state does not affect MultilabelStratifiedShuffleSplit

  #5 opened 6 years ago by trent-b
  1

• Adjusting test_size doesn't actually change test_size

  #3 opened 6 years ago by tyler-lanigan-hs
  9

• Getting started help

  #4 opened 6 years ago by kevinkit
  3

• [Question] Useless argument in IterativeStratification method

  #1 opened 6 years ago by vfdev-5
  2