issues
search
cerlymarco
/
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
MIT License
567
stars
71
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
[Feature Request] Support simple base learners such as DecisionTreeRegressor/Classifier
#39
jolespin
closed
4 months ago
1
Specify versions of dependencies
#38
jolespin
closed
5 months ago
1
[Question] Usage questions for recursive feature addition
#37
jolespin
closed
5 months ago
1
fix feature registering in Boruta
#36
hjbreg
opened
5 months ago
0
Sample weights for training and evaluation
#35
gonzalo-cordova-pou
closed
6 months ago
1
BoostBoruta always selects different features
#34
gianluca-amprimo
closed
8 months ago
3
How to get the exact SHAP importance values?
#33
wishforgood
closed
9 months ago
3
Update _classes.py
#32
sohrabjaferian
closed
8 months ago
1
How to get feature set along with hyper parameters for each iteration
#31
dmalekian
closed
1 year ago
1
Fix incompatibility with numpy >= 1.24.4
#30
sssilvar
closed
8 months ago
2
Numpy version requirement
#29
MenaWANG
closed
8 months ago
1
Issue with hyperopt
#28
MenaWANG
closed
1 year ago
2
update hyperopt
#27
MenaWANG
closed
1 year ago
0
Possible to use hyperopts q-distributions?
#26
samisomu
closed
1 year ago
1
What are some possible reasons that BoostRFA is not running in Parallel?
#25
RuijieYin
closed
1 year ago
0
Question about SHAP importance
#24
loveis98
closed
1 year ago
1
'numpy.random.mtrand.RandomState' object has no attribute 'integers'
#23
Valliyilmenon
closed
1 year ago
4
Question: isn't `SelectorMixin` the right sklearn subclass?
#22
almostintuitive
closed
1 year ago
5
Eval Metric directionality?
#21
ericvoots
closed
1 year ago
11
K-fold or Blocked cross validation
#20
ericvoots
closed
1 year ago
1
Suppress warnings
#19
Rane90
closed
1 year ago
4
ExplainerError
#18
hasan-sayeed
closed
1 year ago
3
Can BoostBoruta be used in a scikit-pipeline?
#17
YoannPitarch
closed
2 years ago
4
Erratic behaviour
#16
mirix
closed
2 years ago
1
Any chance to extent this amazing tool to Random Forest?
#15
mirix
closed
2 years ago
2
Issue with custom scorer
#14
mirix
closed
2 years ago
1
Any plan to write a publication or preprint.
#13
JiaxiangBU
opened
2 years ago
0
Error in BoostBoruta
#12
zeydabadi
closed
2 years ago
1
fix: typo in _Boruta fit method
#11
ogrnz
closed
2 years ago
0
Feature Immportance chart with selected feature names with scores
#10
VinayChaudhari1996
closed
2 years ago
2
only 10 features show in the BoostBoruta, without any feature labels/ranks/indexes
#9
raqueldias
closed
2 years ago
1
Callbacks for progress tracking
#8
tautrimas
closed
2 years ago
1
Any plan to support catboost estimator?
#7
ogencoglu
closed
2 years ago
1
Is it possible to use SHAP with sklearn pipeline?
#6
santokalayil
closed
2 years ago
2
Combining with original XGboost
#5
lifeodyssey
closed
2 years ago
1
List of the important features?
#4
jmrichardson
closed
3 years ago
2
[Feature Request] Add support for Bayesian Hyperparameter Optimization
#3
rohan-gt
closed
3 years ago
1
Support for state of art hyperparameter optimization packages
#2
oldrichsmejkal
closed
3 years ago
2
great software! wonder if it supports for custom CVs?
#1
GalaxyNight-day
closed
3 years ago
3