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loft-br
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xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
https://loft-br.github.io/xgboost-survival-embeddings/
Apache License 2.0
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fix convert signature
#80
GabrielGimenez
closed
1 month ago
0
AttributeError: 'XGBSEDebiasedBCE' object has no attribute 'enable_categorical'
#79
pedrodicati
closed
1 month ago
1
AttributeError: 'XGBSEDebiasedBCE' object has no attribute 'enable_categorical'
#78
pedrodicatiaramis
closed
1 month ago
0
PMML Model
#77
cfkstat
opened
3 months ago
0
Missing self.enable_categorical in python scripts
#76
krittaprot
closed
2 months ago
8
Update publish-docs.yml
#75
GabrielGimenez
closed
4 months ago
0
remove polyfil
#74
GabrielGimenez
closed
4 months ago
0
fix tests
#73
GabrielGimenez
closed
4 months ago
0
Requested xgbse (from synthcity) has invalid metadata: .* suffix can only be used with `==` or `!=` operators pandas (>=1.0.*)
#72
MarsMDK
closed
2 months ago
6
AttributeError: `best_iteration` is only defined when early stopping is used - when xgboost>=2
#71
DrShushen
closed
2 months ago
2
update pandas version requirement
#70
Yimin-Yi
closed
2 months ago
1
Update pandas req
#69
Yimin-Yi
closed
1 year ago
0
Which concordance-index is being used?
#68
uriahf
opened
1 year ago
1
AttributeError: 'XGBSEBootstrapEstimator' object has no attribute 'get_neighbors'
#67
gustavjandrup
opened
1 year ago
1
Minor refactor
#66
GabrielGimenez
closed
4 months ago
0
Giving individual weights in the xgbsestackedweibull
#65
yanih
opened
1 year ago
1
Category features support
#64
UTimeStrange
closed
2 months ago
3
feature importance
#63
yangwei1993
opened
2 years ago
0
feature selection
#62
yangwei1993
opened
2 years ago
0
XGBSE error with sklearn pipeline and GridSearchCV
#61
jules-germany
opened
2 years ago
2
Feat/add pre trained model xgbse 1st step
#60
davivieirab
opened
2 years ago
0
Ensembling of predictions
#59
andwurl
opened
2 years ago
1
SHAP explanation for XGBSEKaplanTree or bootstrapestimator.
#58
hellorp1990
opened
2 years ago
6
TypeError: predict() got an unexpected keyword argument 'iteration_range'
#57
emilyybo
closed
2 years ago
1
Ability to pass separate training data sets in for xgboost model vs survival model
#56
crew102
opened
2 years ago
1
BootstrapEstimator is actually BaggingEstimator
#55
BardiaKh
opened
2 years ago
1
Compare to Actual
#54
pakphump
opened
2 years ago
1
Add catalog-info
#53
Scoup
closed
2 years ago
0
How can we get the importance and output trees?
#52
sqf10000
closed
2 years ago
1
Using a Pretrained XGBoost Model
#51
BardiaKh
opened
2 years ago
2
Adding DOI for Citation
#50
BardiaKh
closed
2 years ago
1
Is it possible to recreate the xgboost object from an mlfow experiment
#49
brunocarlin
opened
2 years ago
3
Fitting results in AttributeError: dlsym(0x7fa409181040, XGDMatrixCreateFromDense): symbol not found
#48
TiTo101
opened
2 years ago
0
Question: proper way to save/load XGBSEStackedWeibull model
#47
yerachoi
opened
2 years ago
1
D-Calibration Maximum Deviation
#46
Jeanselme
closed
2 years ago
3
risk_score and data
#45
Smile-L-up
closed
2 years ago
1
Is it possible to pass the monotonic constraints to the fitting function
#44
brunocarlin
closed
2 years ago
1
fix: include last tree in iteration range
#43
GabrielGimenez
closed
2 years ago
0
pip install xgbse
#42
alextsui86
closed
3 years ago
3
Competing risks/events
#41
onacrame
closed
3 years ago
4
Feat/change ntree to iteration range
#40
GabrielGimenez
closed
3 years ago
0
Catboost Survivorship Modeling
#39
kmedved
opened
3 years ago
1
lifelines.exceptions.ConvergenceError
#38
NudnikShpilkis
opened
3 years ago
2
No observation in time bucket
#37
GabrielGimenez
opened
3 years ago
2
Feat/refactor extrapolation
#36
GabrielGimenez
closed
3 years ago
1
Cure Fraction Problem?
#35
NudnikShpilkis
closed
3 years ago
1
What is the meaning of events 0 and 1? can you please add this to the docs or point me to the relevant information?
#34
Veghit
closed
3 years ago
1
Question: Predicting probability of survival at arbitrary times
#33
esbraun
opened
3 years ago
1
Fix/reshape leaves
#32
GabrielGimenez
closed
3 years ago
1
xgboost 1.4.0+: ValueError: If using all scalar values, you must pass an index
#31
jacobgqc
closed
3 years ago
7
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