mlr-org/mlr3learners

Issues

• Please restore the "weights" property for the "classif.log_reg" learner!

  #265 opened a month ago by FlorianPargent
  1

• Some warnings when running tests: `WARN [00:25:41.591] [mlr3] train: glm.fit: algorithm did not converge` etc. [ FAIL 0 | WARN 0 | SKIP 3 | PASS 550 ]

  #295 opened a month ago by barracuda156
  2

• Release mlr3learners 0.7.0

  #297 opened a month ago by be-marc
  0

• xgboost early stopping

  #257 opened a month ago by sebffischer
  4

• Implement internal tuning for cv.glmnet

  #301 opened 2 months ago by sebffischer
  0

• Release mlr3learners 0.6.0

  #289 opened 3 months ago by be-marc
  0

• cv.glmnet weights are inverted

  #281 opened 6 months ago by tdhock
  4

• Release mlr3learners 0.5.8

  #279 opened 9 months ago by be-marc
  0

• set env vars for xgboost

  #267 opened a year ago by sebffischer
  4

• crate all custom_check functions

  #275 opened 10 months ago by sebffischer
  0

• Release mlr3learners 0.5.7

  #270 opened 10 months ago by be-marc
  0

• Rename "custom mlr3 defaults"

  #252 opened a year ago by sebffischer
  1

• Implement importance method for SVM

  #161 opened 3 years ago by be-marc
  2

• xgboost default nrounds should not be set

  #261 opened 2 years ago by mb706
  4

• mlr3learners site down

  #262 opened 2 years ago by PhilippBach
  3

• Learner table code reports warnings

  #250 opened 2 years ago by pfistfl
  1

• The weights argument in classif.log_reg are not observation weights

  #177 opened 2 years ago by salauer
  3

• 'surv.xgboost' not found in DictionaryLearner

  #239 opened 2 years ago by MosquitoFan
  1

• `predcontrib = TRUE` in xgboost classification learner causes errors

  #236 opened 2 years ago by TylerGrantSmith
  0

• [BUGLRN] Bugs in learner lda: variable appears to be constant within groups

  #230 opened 3 years ago by MislavSag
  5

• Introduce hyperpar to control if kknn stores predictios

  #225 opened 3 years ago by mllg
  0

• [BUGLRN] Bugs in learner qda: Error in qda.default(x, grouping, ...) : rank deficiency in group good

  #231 opened 3 years ago by MislavSag
  2

• svm predict fails with callr

  #224 opened 3 years ago by be-marc
  1

• Release v0.6.0

  #220 opened 3 years ago by pat-s
  3

• Explicitly set `eval_metric` for xgboost

  #210 opened 3 years ago by mllg
  0

• MLR3 Ranger # Error in self$assert(xs) for parameters that take a vector: class.weights and sample.fraction

  #187 opened 3 years ago by zmek
  0

• ranger hyperparameter split.select.weights has the wrong type

  #176 opened 3 years ago by normanwang92
  0

• Impossible to set fitting method in classif.nnet

  #206 opened 3 years ago by koithung
  3

• List of problematic classification learners

  #190 opened 3 years ago by GitHubGeniusOverlord
  3

• Can't set 'cost' parameter in 'regr.svm' learner for 'nu-regression'

  #208 opened 3 years ago by edsantor
  5

• kknn should give an informative error message when missing values lead to an error

  #175 opened 3 years ago by mb706
  1

• Possible bug: Can't set parameter C in learner 'regr.svm' for nu-regression

  #207 opened 3 years ago by edsantor
  1

• Support xgboost's base_margin

  #205 opened 3 years ago by mllg
  0

• Ranger: mtry and filtering

  #137 opened 3 years ago by pfistfl
  5

• ranger max.depth hyperparameter lower bound

  #186 opened 3 years ago by mb706
  0

• Error in setting monotone_constraints for Xgboost learner

  #201 opened 3 years ago by nlistat
  1

• How to update mlr3 library in Rstudio

  #192 opened 3 years ago by Nehagupta90
  1

• [glmnet, logreg] Positive class does not get passed correctly

  #196 opened 3 years ago by Coorsaa
  7

• CRAN version of kknn learner segfaults / predicts unreliably if k >= nrow(task)

  #191 opened 3 years ago by mb706
  1

• cv_glmnet for binary outcome

  #184 opened 3 years ago by hadigilan
  2

• XGBoost learner uses wrong good/bad logic

  #167 opened 4 years ago by randomuserflx
  5

• e1071 fails on with logical matrix input

  #181 opened 4 years ago by mllg
  0

• RegrKm SE prediction for epistemic uncertainty

  #173 opened 4 years ago by mb706
  1

• classif/regr.glmnet should not have "type.measure" parameter (I think)

  #162 opened 4 years ago by mb706
  0

• ranger default for num.threads

  #170 opened 4 years ago by bommert
  1

• Add quanteda.textmodels::textmodel_nb to mlr3extralearners

  #157 opened 4 years ago by andreassot10
  3

• Connect learner textmodel_nb from package quanteda.textmodels

  #158 opened 4 years ago by andreassot10
  0

• binary glmnet handling of outcome factor names, Bug?

  #155 opened 4 years ago by kkmann
  2

• Bug: glmnet - penalty.factor is a vector

  #140 opened 4 years ago by JackyP
  0

• Connect learner ebm_classify from package interpret

  #128 opened 4 years ago by KnutJaegersberg
  0