ja-thomas autoxgboost issues

ja-thomas / autoxgboost

autoxgboost - Automatic tuning and fitting of xgboost

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explainable boosting machine?

#71 KnutJaegersberg opened 4 years ago
0
Install Problem with ParamHelpers

#70 ZellW opened 4 years ago
0
fix if dummycolname already exists as feature

#69 Coorsaa closed 4 years ago
1
How to get optimal value of a parameter "nrounds"

#68 AsiaHenzel closed 4 years ago
1
Different results of recommended parameters

#67 AsiaHenzel opened 4 years ago
0
Feature importance

#66 ghost opened 4 years ago
0
class weights

#65 p-schaefer opened 4 years ago
0
survival:cox

#64 xutaosjtu opened 4 years ago
0
time.budget does not work in initial design

#63 PhilippPro opened 5 years ago
5
Poor performance on a simple dataset

#62 Kodiologist opened 5 years ago
3
why use negative values for lambda,...

#61 caprone closed 5 years ago
5
Is it possible to change booster type?

#60 liuyanguu closed 5 years ago
2
chol.default() error

#59 ck37 opened 5 years ago
1
Compare tuning space

#58 ja-thomas opened 5 years ago
0
Hexagon logo

#57 Coorsaa closed 5 years ago
2
Use best iteration in mbo objective instead of last iteration

#56 giuseppec opened 5 years ago
1
can define my own objective function for mbo?

#55 giuseppec opened 5 years ago
2
min_child_weight missing in default parsets

#54 giuseppec closed 5 years ago
2
num_parallel_trees

#53 ja-thomas opened 5 years ago
0
Force RandomForest in initial design

#52 ja-thomas opened 6 years ago
0
Extend parameterset

#51 ja-thomas closed 6 years ago
1
Boosting backends

#50 ja-thomas opened 6 years ago
1
Assess xgboost imputation

#49 ja-thomas opened 6 years ago
0
API for passing Feature information

#48 ja-thomas closed 6 years ago
2
Use absolute number of parameters instead of oob fraction

#47 ja-thomas opened 6 years ago
0
Why don't we just tune the thresholds with MBO

#46 ja-thomas closed 6 years ago
0
move to mlrCPO for Preprocessing

#45 ja-thomas closed 6 years ago
2
Add a time budget parameter

#44 PhilippPro closed 6 years ago
1
autocatboost

#43 PhilippPro opened 6 years ago
1
Data Preprocessing

#42 ja-thomas closed 6 years ago
0
Use Brier score for classification

#41 ja-thomas opened 6 years ago
4
Scale class weight

#40 ja-thomas closed 6 years ago
1
Add GPU support

#39 ja-thomas opened 6 years ago
2
Cross validation?

#38 DanielKuehn87 opened 6 years ago
1
More feature engineering

#37 ja-thomas opened 6 years ago
1
Learn y transformation for regression

#36 ja-thomas closed 6 years ago
1
tune class weights param for unbalanced classif

#35 ja-thomas closed 6 years ago
3
I dislike the boundaries of the slope and trust param

#34 ja-thomas closed 6 years ago
1
More unit tests

#33 ja-thomas closed 6 years ago
2
Warning with weights

#32 ja-thomas closed 6 years ago
0
Some more unit tests

#31 ja-thomas closed 6 years ago
1
Increase max.depth

#30 ja-thomas closed 6 years ago
0
Fixes

#29 ja-thomas closed 6 years ago
2
Do something about the Notes for not exported mlr functions

#28 ja-thomas closed 6 years ago
1
Add code coverage

#27 ja-thomas closed 6 years ago
1
Impact encoding should have an subset or id argument

#26 ja-thomas closed 6 years ago
1
The Impact encoding is not done properly for the validation data for early stopping

#25 ja-thomas closed 6 years ago
4
Do we actually want to sample a different early stopping sample in every iteration

#24 ja-thomas closed 6 years ago
0
Does the subsampling rate move away from ~0.5

#23 ja-thomas closed 6 years ago
0
closes #20 improved Impact encoding following Daniele Micci-Barreca

#22 Coorsaa closed 6 years ago
2