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predict-idlab
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powershap
A power-full Shapley feature selection method.
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Fix wrong aggregation of shap values
#52
jvdd
closed
2 months ago
2
AttributeError: module 'numpy' has no attribute 'bool'.
#50
apavlo89
opened
3 months ago
1
💨 updating dependencies - python 3.12 compatible
#49
jonasvdd
closed
3 months ago
1
:pray: update testing
#48
jonasvdd
closed
3 months ago
0
Support python 3.10+
#47
jonasvdd
closed
3 months ago
2
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (339,) + inhomogeneous part
#46
jeremyhermann
opened
3 months ago
4
Add *kwargs to pass extra parameter to LGBMModel fit
#45
antoniocastelli1
opened
9 months ago
0
All relevant feature or minimal set feature selection?
#44
rictoo
closed
1 year ago
1
Support python 3.11
#43
arestifo
closed
1 year ago
0
:arrow_up: update dependencies
#42
jvdd
closed
2 months ago
1
Consider using FastTreeSHAP?
#41
almostintuitive
opened
1 year ago
1
relaxed pandas version constraints, so it works with 2.0
#40
almostintuitive
closed
1 year ago
2
Support pandas 2.0
#39
almostintuitive
closed
2 months ago
3
Reduce memory usage by removing data copies
#38
lorenjan
closed
1 year ago
4
Correct use of random_state for xgboost
#37
lorenjan
closed
1 year ago
2
Support Python 3.11
#36
arestifo
closed
2 months ago
2
Training from file
#35
d1bevz
closed
1 year ago
1
enable validation set for xgboost's fit
#34
mrzdev
closed
1 year ago
1
Is it possible to pass a sklearn Pipeline as model to `powershap`?
#33
eduardokapp
opened
1 year ago
6
Pandas version restraints
#32
eduardokapp
closed
1 year ago
4
Add link to license in readme
#31
darigovresearch
closed
1 year ago
2
:sparkles: support xgboost + :package: general maintenance
#30
jvdd
closed
1 year ago
1
⬆️ Bump certifi from 2022.9.24 to 2022.12.7
#29
dependabot[bot]
closed
1 year ago
2
Missing XGBoost support
#28
mattharrison
closed
1 year ago
3
:recycle: update poetry install in ci
#27
jvdd
closed
1 year ago
0
PyPI brownout for `sklearn` in favor of `scikit-learn`
#26
deepandas11
closed
1 year ago
2
Support for categorical columns
#25
saikiran1201
closed
1 year ago
1
Failed to reach convergence
#24
najeeb9522
closed
1 year ago
1
Error when handling categoricals with LightGBM
#23
deepandas11
closed
1 year ago
2
:arrow_up: update dependencies
#22
jvdd
closed
2 years ago
1
Release with numpy >=1.21
#21
deepandas11
opened
2 years ago
4
:broom: avoid missing package errors
#20
jvdd
closed
2 years ago
1
Can't Pickle
#19
jmrichardson
closed
2 years ago
2
:robot: update dependencies + new release
#18
jvdd
closed
2 years ago
1
:sparkles: cv support
#17
jvdd
closed
2 years ago
1
:bug: lgbm test bugfix for categorical data
#16
jvdd
closed
2 years ago
0
Add shuffle parameter to fit
#15
jmrichardson
closed
2 years ago
8
Custom CV
#14
jmrichardson
closed
2 years ago
1
:memo: Update README.md
#13
GillesVandewiele
closed
2 years ago
1
:clown: added imec LICENSE.txt
#12
JarneVerhaeghe
closed
2 years ago
0
:sparkles: add grouped feature selection functionality
#11
jvdd
closed
2 years ago
1
:bug: Added infinity support to Catboost models
#10
JarneVerhaeghe
closed
2 years ago
2
The cv argument in `fit` is ignored
#9
jvdd
closed
2 years ago
1
:bug: fix bug in transform when feats with nans are selected
#8
jvdd
closed
2 years ago
0
🏋️ emoji README
#7
Moeflon
closed
2 years ago
0
:recycle: refactor, bug fixes & rename to PowerShap
#6
jvdd
closed
2 years ago
0
:bug: fix bug feature names + :sparkles: default model
#5
jvdd
closed
2 years ago
0
:tada: add first tests
#4
jvdd
closed
2 years ago
0
:bug: fixed circular imports
#3
GillesVandewiele
closed
2 years ago
1
:rocket: sklearn integration
#2
jvdd
closed
2 years ago
1
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