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fabsig
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GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
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Output interpretation
#47
Ferran-pv
closed
2 years ago
1
Exception: An error has occurred while building gpboost library file
#46
mopi21
closed
2 years ago
11
Where to find the random effects estimates?
#45
yingboli
closed
2 years ago
2
Support needed to pickle the GPBoost model
#44
RevatiKrishna
closed
2 years ago
1
Error in parameter tuning using cross-valiation
#43
yingboli
closed
2 years ago
1
Feature Request: Multivariate modeling via coregionalization
#42
hrmerrill
opened
2 years ago
1
Compilation of PyPi Package (unix)
#41
fmichaelkunz
closed
3 years ago
5
Question : Out of Sample Forecast
#40
fmichaelkunz
closed
3 years ago
1
Accommodating Missing Data
#39
divyashan
closed
3 years ago
3
Simulate data process on demo
#38
8-u8
closed
3 years ago
3
SHAP example does not work
#37
Tenoke
closed
3 years ago
1
Support for quantile regression as stated in the parameters section of the docs
#36
aaroncueckermann
opened
3 years ago
1
remove duplicate word
#35
lorenzwalthert
closed
3 years ago
0
Issue #31 revised
#34
dalesmith8
closed
3 years ago
1
How to specify "ind_effect_group_rand_coef" for multiple random slopes
#33
YuanyuanLi96
closed
3 years ago
10
Is GPBoost compatible with SHAP TreeExplainer?
#32
LEMTideman
closed
3 years ago
0
Can not load Python package in MacOS
#31
RaterBai
closed
3 years ago
8
Issues while using GPBoostClassifier
#30
SayakMukherjee
closed
3 years ago
2
how to implement this on GPBoost on CPG data with binary classfification
#29
sacrathi1991
closed
3 years ago
3
Predict error: Incorrect number of data points in fixed_effects_pred
#28
CoteDave
closed
3 years ago
1
Get optimal parameters of trained gpboost.basic.Booster
#27
poroc300
closed
3 years ago
2
parameter optimization "does not accept boolean indexers" error
#26
Keniajin
closed
3 years ago
2
Output discretization when using cluster IDs
#25
fonnesbeck
closed
3 years ago
5
Removed erroneous self from cluster_ids_pred in shape check
#24
fonnesbeck
closed
3 years ago
1
Python package build failure
#23
fonnesbeck
closed
3 years ago
8
'GPModel' object has no attribute 'cluster_ids_pred'
#22
fonnesbeck
closed
3 years ago
0
Is it possible to use gpboost on big data
#21
BastienFR
closed
3 years ago
9
Help file for the set_prediction_data() function
#20
BastienFR
closed
3 years ago
1
difference between the fit and the gpboost functions
#19
BastienFR
closed
3 years ago
3
eval_train is not working when use_gp_model_for_validation
#18
aprilffff
closed
3 years ago
7
compile error
#17
aprilffff
closed
3 years ago
7
Installation fails Windows 10
#16
mm0708
closed
3 years ago
4
need raw_data and raw_label to save gp_model?
#15
aprilffff
closed
3 years ago
3
How to apply gpboost on grouped data
#14
kartik1611
closed
3 years ago
5
fatal error in R
#13
joleehaz
closed
2 years ago
42
Sample Weight Support
#12
kmedved
opened
3 years ago
11
Raise an error when input parameters are misspecified
#11
poroc300
closed
3 years ago
6
Temporal and hierarchical groups effects modeling
#10
dgrnbrg
closed
4 years ago
1
About nested group structure
#9
bohyunshin
closed
4 years ago
4
Python package : sklearn compatibility
#8
SuryaThiru
closed
3 years ago
4
Support for additional objective functions with random effects and boosting
#7
dagley11
closed
3 years ago
5
Build upon which lgb version?
#6
aprilffff
closed
3 years ago
5
cannot save gp_model
#5
aprilffff
closed
3 years ago
6
very slow on initializing gpmodel for non-consecutive group_data
#4
aprilffff
closed
4 years ago
10
Guidance on scalability
#3
zkurtz
closed
4 years ago
2
glibc_2.27 on Ubuntu 16.04
#2
zkurtz
closed
3 years ago
7
Link to a Gaussian Process Boosting in the README is a dead link
#1
lorenzwalthert
closed
4 years ago
1
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