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trent-b
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iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
BSD 3-Clause "New" or "Revised" License
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Numpy DeprecationWarning when using MultilabelStratifiedKFold.split
#32
alexrosenthal1098
closed
4 weeks ago
1
Numpy DeprecationWarning in IterativeStratification
#31
alexrosenthal1098
closed
1 month ago
4
Getting slightly worse performance than sklearn.model_selection.ShuffleSplit
#30
StevenGubkin
closed
1 year ago
1
Unable to set random_state without setting shuffle=True
#29
raahilshah
opened
1 year ago
0
Adding importance to certain labels?
#28
dyhan316
closed
1 year ago
2
does this work with multiclass+multilabel targets?
#27
dyhan316
closed
1 year ago
4
Possibility to do stratification with multi-output multi-class (multi-target) data
#26
bundit786
closed
1 year ago
3
Error using MultilabelStratifiedKFold
#25
robertogarces
closed
2 years ago
4
Add Python syntax highlighting in Markdown chunks
#24
igorkf
closed
2 years ago
0
Do we need X for `split`
#23
sachinruk
closed
2 years ago
2
Update listed version to latest tag and release
#22
thundergolfer
closed
3 years ago
0
Single split
#21
sachinruk
closed
3 years ago
1
Future Warning from sklearn
#20
ayhokuyan
closed
3 years ago
1
[MOD] Bug Fix for sklearn 1.0~
#19
CryptoSalamander
closed
3 years ago
4
Incompatibility with scikit-learn 1.0 in latest release
#18
lunik1
closed
3 years ago
4
MultilabelStratifiedShuffleSplit Out Of Memory problem
#17
htw5295
closed
3 years ago
1
Is it possible to calculate the total number of all possible splits?
#16
whatever60
closed
2 years ago
2
Unable to create a small sample of 1000 train and 100 using MultilabelStratifiedShuffleSplit
#15
meltedhead
opened
3 years ago
3
Different percentage of samples for each label after using MultilabelStratifiedKFold
#14
Lance0218
closed
3 years ago
2
Ability to set a custom fold proportions for MultilabelStratifiedKFold (pass "r" to IterativeStratification)
#13
lopuhin
closed
2 years ago
3
Can't install it in kaggle notebook
#12
saurabhkthakur
closed
4 years ago
1
Fixed sklearn deprecate positional args warning
#11
Aroksak
closed
4 years ago
0
Group kfold
#10
K-Mike
closed
4 years ago
1
Startified folds based on multiple columns + column of multi-labels.
#9
SoufianeDataFan
closed
4 years ago
1
how to use iterative-stratification to split the dataset into train, validation and test set?
#8
xyus
closed
4 years ago
1
Publication
#7
miguelwon
closed
5 years ago
1
Balanced sample with low number of one of the classes
#6
miguelwon
closed
5 years ago
3
random_state does not affect MultilabelStratifiedShuffleSplit
#5
trent-b
closed
5 years ago
1
Getting started help
#4
kevinkit
closed
6 years ago
3
Adjusting test_size doesn't actually change test_size
#3
tyler-lanigan-hs
closed
5 years ago
9
Add CI, badges, tests, remove useless arg
#2
vfdev-5
closed
6 years ago
0
[Question] Useless argument in IterativeStratification method
#1
vfdev-5
closed
6 years ago
2