mlr-org/mlr3learners issues and pull requests

Issue - State: closed - Opened by salauer over 3 years ago - 3 comments
Labels: Status: On Hold, Status: Review Needed, Priority: High, Type: Question

#176 - ranger hyperparameter split.select.weights has the wrong type

Issue - State: closed - Opened by normanwang92 over 3 years ago
Labels: Type: Enhancement, Priority: Medium, Status: Available

#175 - kknn should give an informative error message when missing values lead to an error

Issue - State: closed - Opened by mb706 over 3 years ago - 1 comment

#173 - RegrKm SE prediction for epistemic uncertainty

Issue - State: open - Opened by mb706 over 3 years ago - 1 comment
Labels: Priority: Low, Type: Enhancement

#169 - allow RegrLM to take character features

Pull Request - State: closed - Opened by salauer over 3 years ago - 1 comment

#167 - XGBoost learner uses wrong good/bad logic

Issue - State: closed - Opened by randomuserflx over 3 years ago - 5 comments
Labels: Priority: Medium

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

Issue - State: closed - Opened by mb706 over 3 years ago

#161 - Implement importance method for SVM

Issue - State: closed - Opened by be-marc over 3 years ago - 2 comments
Labels: Type: Enhancement

#159 - retrain

Pull Request - State: closed - Opened by be-marc almost 4 years ago - 1 comment

#137 - Ranger: mtry and filtering

Issue - State: closed - Opened by pfistfl about 4 years ago - 5 comments
Labels: Priority: Low, Status: In Progress, Type: Optimization

#113 - Connect learner nnet & multinom from package nnet

Issue - State: closed - Opened by henrifnk about 4 years ago - 6 comments
Labels: Status: Pending, Type: Learner Request

#80 - Learner inheritance

Issue - State: closed - Opened by adibender over 4 years ago - 2 comments

#79 - Document better how to implement parameters without upstream defaults

Issue - State: closed - Opened by pat-s over 4 years ago - 1 comment
Labels: Status: Accepted, Priority: Medium, Type: Documentation

#73 - Learner fields are not documented

Issue - State: closed - Opened by pat-s over 4 years ago - 2 comments
Labels: Status: Blocked, Priority: Low, Type: Documentation

#60 - Connect learner bart from package dbarts

Issue - State: closed - Opened by ck37 over 4 years ago - 13 comments
Labels: Status: Review Needed, Type: Learner Request

#57 - Connect lightgbm learner

Issue - State: closed - Opened by kapsner over 4 years ago - 12 comments
Labels: Status: In Progress, Type: Learner Request

#56 - gamboost learner does not properly specify that it can only do binary classif

Issue - State: closed - Opened by berndbischl over 4 years ago - 2 comments

#49 - Connect learner h2o from package h2o

Issue - State: open - Opened by be-marc over 4 years ago - 3 comments
Labels: Type: Learner Request

Ecosyste.ms: Issues

GitHub / mlr-org/mlr3learners issues and pull requests

#197 - Update glmnet

#196 - [glmnet, logreg] Positive class does not get passed correctly

#194 - fix Xgboost's monotone_constraints parameter

#193 - Update tic templates [ci-skip]

#192 - How to update mlr3 library in Rstudio

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

#190 - List of problematic classification learners

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

#186 - ranger max.depth hyperparameter lower bound

#184 - cv_glmnet for binary outcome

#183 - Use paradox sugar

#182 - Support loglik extraction

#181 - e1071 fails on with logical matrix input

#180 - control parameter bug in LearnerRegrKM

#179 - New release

#177 - The weights argument in classif.log_reg are not observation weights