issues
search
holub008
/
xrf
eXtreme RuleFit (sparse linear models on XGBoost ensembles)
Other
44
stars
13
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
In xrf workflow, prediction fails if i ask for a single value
#26
hectorsegal
opened
1 month ago
0
Feature importance
#25
snvv
opened
1 year ago
0
prep v0.2.2 release candidate
#24
simonpcouch
closed
1 year ago
2
address incompatible types row binding error
#23
simonpcouch
closed
2 years ago
6
quiet xgb warnings when prefit
#22
simonpcouch
closed
2 years ago
1
quiet name repair `colnames` message
#21
simonpcouch
closed
2 years ago
2
Release 0.2.1
#20
holub008
closed
2 years ago
1
Current xgboost objective is now deprecated
#19
juliasilge
closed
2 years ago
4
Error: Can't combine `..1$feature` <character> and `..61$feature` <logical>
#18
ruiruimufeng
closed
2 years ago
4
Representation of rules involving binary features?
#17
rjordan-hdai
closed
2 years ago
5
Warning on nrounds unused
#16
holub008
closed
2 years ago
1
problem with interpreting rules
#15
Naviden
closed
3 years ago
3
Error in storage.mode(y) <- "double"
#14
Naviden
opened
3 years ago
3
Cut new CRAN release
#13
holub008
closed
4 years ago
5
Printing
#12
topepo
closed
4 years ago
1
GitHub actions
#11
topepo
closed
4 years ago
2
Fixes for #9
#10
topepo
closed
4 years ago
1
Predicting from a dataframe without the response column
#9
holub008
closed
4 years ago
0
Gracefully handle NAs in predictors
#8
holub008
opened
5 years ago
0
Corrected bug in evaluate_rule_dense_only
#7
yama1968
closed
5 years ago
7
A correction for XGBoost classifying sparse one-hot 0s as "Missing"
#6
holub008
closed
5 years ago
0
Slow rule evaluation
#5
holub008
closed
5 years ago
3
Corrected following your remarks and added more flexibility on glmnet parameters
#4
yama1968
closed
5 years ago
1
Corrected problem when missing pmax
#3
yama1968
closed
5 years ago
0
Incorrect categorical split rule derivation from xgboost model built on sparse data
#2
holub008
closed
5 years ago
4
addition of pmax and weights parameters, plus parallel option on glmnet
#1
yama1968
closed
5 years ago
3