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mlr3learners
Recommended learners for mlr3
https://mlr3learners.mlr-org.com
GNU Lesser General Public License v3.0
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Allow setting cost param for `type='nu-regression'
#209
pat-s
closed
2 years ago
0
Can't set 'cost' parameter in 'regr.svm' learner for 'nu-regression'
#208
edsantor
closed
2 years ago
5
Possible bug: Can't set parameter C in learner 'regr.svm' for nu-regression
#207
edsantor
closed
2 years ago
1
Impossible to set fitting method in classif.nnet
#206
koithung
closed
2 years ago
3
Support xgboost's base_margin
#205
mllg
opened
3 years ago
0
`regr.xgboost`: update deprecated param value
#204
pat-s
closed
3 years ago
0
Support custom hyperparamter `mtry.ratio`
#203
mllg
closed
3 years ago
0
Prepare release
#202
mllg
closed
3 years ago
0
Support selected features in glmnet
#200
mllg
closed
3 years ago
2
Reorder glmnet labels to match behaviour of glm
#199
mllg
closed
3 years ago
0
Reverse class labels in log reg before fitting
#198
mllg
closed
3 years ago
0
Update glmnet
#197
adibender
closed
3 years ago
2
[glmnet, logreg] Positive class does not get passed correctly
#196
Coorsaa
closed
3 years ago
7
Error in setting monotone_constraints for Xgboost learner
#201
nlistat
closed
3 years ago
1
fix Xgboost's monotone_constraints parameter
#194
sumny
closed
3 years ago
1
Update tic templates [ci-skip]
#193
pat-s
closed
3 years ago
0
How to update mlr3 library in Rstudio
#192
Nehagupta90
closed
3 years ago
1
CRAN version of kknn learner segfaults / predicts unreliably if k >= nrow(task)
#191
mb706
closed
3 years ago
1
List of problematic classification learners
#190
GitHubGeniusOverlord
closed
2 years ago
3
MLR3 Ranger # Error in self$assert(xs) for parameters that take a vector: class.weights and sample.fraction
#187
zmek
closed
2 years ago
0
ranger max.depth hyperparameter lower bound
#186
mb706
closed
3 years ago
0
cv_glmnet for binary outcome
#184
hadigilan
closed
3 years ago
2
Use paradox sugar
#183
mllg
closed
3 years ago
0
Support loglik extraction
#182
mllg
closed
3 years ago
0
e1071 fails on with logical matrix input
#181
mllg
closed
3 years ago
0
control parameter bug in LearnerRegrKM
#180
sumny
closed
3 years ago
1
New release
#179
mllg
closed
3 years ago
0
The weights argument in classif.log_reg are not observation weights
#177
salauer
closed
2 years ago
3
kknn should give an informative error message when missing values lead to an error
#175
mb706
closed
2 years ago
1
ranger hyperparameter split.select.weights has the wrong type
#176
normanwang92
closed
2 years ago
0
Make learners sequential per default
#174
mllg
closed
3 years ago
0
RegrKm SE prediction for epistemic uncertainty
#173
mb706
opened
3 years ago
1
Remove predict.all from ranger
#172
RaphaelS1
closed
3 years ago
1
add aft to surv.xgboost
#171
RaphaelS1
closed
3 years ago
0
ranger default for num.threads
#170
bommert
closed
3 years ago
1
allow RegrLM to take character features
#169
salauer
closed
3 years ago
1
Update tic templates [ci-skip]
#168
pat-s
closed
3 years ago
0
XGBoost learner uses wrong good/bad logic
#167
randomuserflx
closed
3 years ago
5
Update tic templates [ci-skip]
#166
pat-s
closed
3 years ago
0
fix surv.ranger
#165
RaphaelS1
closed
3 years ago
2
ranger patch
#164
RaphaelS1
closed
3 years ago
0
Update LearnerSurvRanger.R
#163
RaphaelS1
closed
3 years ago
2
classif/regr.glmnet should not have "type.measure" parameter (I think)
#162
mb706
closed
3 years ago
0
Implement importance method for SVM
#161
be-marc
closed
2 years ago
2
Additional learners link to extralearners table
#160
RaphaelS1
closed
3 years ago
0
retrain
#159
be-marc
closed
2 years ago
1
Connect learner textmodel_nb from package quanteda.textmodels
#158
andreassot10
opened
3 years ago
0
Add quanteda.textmodels::textmodel_nb to mlr3extralearners
#157
andreassot10
closed
3 years ago
3
Change learner return values
#156
mllg
closed
4 years ago
1
binary glmnet handling of outcome factor names, Bug?
#155
kkmann
closed
4 years ago
2
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