Issues
- 0
Using exports from mlr3fselect during multisession execution fails due to non-loaded package
#1183 opened by skysyzygy - 1
mlr3 code failing in Geocomputation with R book
#1182 opened by Robinlovelace - 0
Release mlr3 0.21.0
#1180 opened by be-marc - 0
Measure should print its predict set
#1169 opened by berndbischl - 0
Use the cli package for class printer
#1177 opened by be-marc - 1
Behavior of `$set_row_roles` changed
#1175 opened by sebffischer - 0
looks like we can run measures like "classif.logloss" on predictions without probs without error?
#1176 opened by berndbischl - 0
- 2
- 1
mlr3 book penguins_simple task
#1170 opened by Arnold-Kakas - 0
- 1
Class weights no longer work
#1120 opened by larskotthoff - 2
Option to suppress printing INFO lines from resample()
#1167 opened by baderstine - 0
- 0
- 0
Measure `"time_train"` does currently not take the time for the fallback learner into account
#1161 opened by sebffischer - 0
- 3
Error in private$.get_values() : when save learner in Linux, and load learner in Windows
#1156 opened by lshddd - 2
have a nice function to create a default fallback -- and warn if it doesnt have enough properties
#1150 opened by berndbischl - 5
check that we have unit tests for wrong data entry when col roles are set
#1146 opened by berndbischl - 3
document the autotest system
#1143 opened by berndbischl - 0
measure names (in mlr3measures) would be "cleaner" if we would use "regr_mse" not "mse" for function names
#1139 opened by berndbischl - 1
encapsulate: doc what is in model slot, if encaps is on, but we fail due to an error
#1152 opened by berndbischl - 0
- 0
Measure$score has weird NaN producing code
#1110 opened by berndbischl - 3
we should maybe check in learner / autotest that weights_learner influences the fit / the predictions of the learner
#1117 opened by berndbischl - 0
check that a basic unit test for predict_type = "quantiles" is in the autotest for other learners
#1134 opened by berndbischl - 1
- 1
- 1
we really need to check code for metrics in terms of "sample_weights" and normalization.
#1138 opened by berndbischl - 0
- 0
- 1
FeaturelessLearner: if "learner_weights" is added, the FFL should support weights too
#1142 opened by berndbischl - 0
- 1
- 1
- 1
- 0
Learner / measure: OOB error seems too restrictive, cannot take mlr3 measure
#1103 opened by berndbischl - 1
if i create a dictionary of measures, i would like to see the measure props
#1107 opened by berndbischl - 1
- 1
create more tests for as.data.table(BMR)
#1114 opened by berndbischl - 8
Error with graph learner with preprocessing
#1115 opened by larskotthoff - 2
BiocGenerics package interferes with some mlr3 printers
#1112 opened by mb706 - 1
debug learners should implement importance, selected_features, oob_error and loglik
#1102 opened by mb706 - 1
Small Issue: might be good to give the featureless learner a common base class?
#1108 opened by berndbischl - 1
- 1
- 1
Encapsulation should only work with a fallback learner
#1106 opened by be-marc - 0
- 2
Issues with as.data.table(mlr_learners) Function
#1095 opened by DylanGuo1101