mlr-org / mlr3

mlr3: Machine Learning in R - next generation

https://mlr3.mlr-org.com

mlr-org/mlr3 Issues

ResampleResult and BenchmarkResult's `$score()` behave surprisingly when passing a `predict_set`
Updated in 2 hours
Better document how to score train performance
Updated in 2 hours1
Docs: better documentation how to suppress learner output
Updated in 2 hours1
Column role "weight"
Updated in 2 hours7
set_col_roles has confusing error for user-defined roles
Updated in 2 hours5
Allow Multiple Ratios in partition() for Creating Training, Testing, and Validation Sets
Updated in 2 hours2
Accessing `col_info` is a bottleneck
Updated in 2 hours
resample$score(predict_sets = 'test') gives same output as resample$score(predict_sets = 'train'). Also, is there any functionality where results from both train and test can be accessed?
Updated in 2 hours1
Example task with non-standard primary key
Closed in 2 hours
Task cbind breaks when task's backend has primary_key different to `..row_id`
Updated in 2 hours3
Save only selected edges in graph learner
Updated in 2 hours4
fallback learner should maybe be a warning
Updated in 2 hours1
Measure Documentations could be improved
Closed in 2 hours1
resample() does not set data_prototype (and task_prototype), which some learners rely on
Closed in 2 hours6
Measure's check_prerequisites is ignored when calling `$score()` on a ResampleResult
Updated in 2 hours
Feature Request: Predict type `"ci"` in addition to `"se"`
Updated in 2 hours3
NumFOCUS funding
Closed in 2 hours2
columns that are not present during prediction that are not targets
Updated in 2 hours
Callback Hooks for `resample()` / `benchmark()`
Updated in 2 hours
Resampling: cv-plus
Updated in 2 hours1
Task printer should give target class info
Updated in 2 hours
learner predict
Closed in 2 hours1
`$score()` has surprising behaviour when passing the argument `predict_sets`
Closed 5 days ago4
predict_time can be (kind of) wrong
Updated 5 days ago
`MeasurerElapsedTime` uses "mean" for aggregation the total time, while "sum" would be more appropriate
Closed 5 days ago1
Unexpected Feature Inclusion in mlr3 Task Definition
Closed 17 days ago4
Release mlr3 0.20.2
Closed 18 days ago
Licensing issue due to mlr3 dependnency RhpcBLASctl
Closed 18 days ago3
Retrieve data from learner
Closed 22 days ago6
How to predict in new data in mlr3 0.20.0
Closed 24 days ago3
Feature Request: Featureless Learner should allow to specify metric to be optimized
Updated 24 days ago
Consider making BLAS thread setting optional, RhpcBLASctl Suggests
Closed 24 days ago1
Results are not repeatable
Closed 24 days ago1
Tests pass [ FAIL 0 | WARN 0 | SKIP 3 | PASS 13367 ], but test log has some errors like `ERROR [00:10:39.839] [mlr3] predict: Error from classif.debug->predict()`
Closed 24 days ago1
some advice to mlr3 from a heavy user in China
Closed 24 days ago1
Release mlr3 0.20.1
Closed 25 days ago
Release mlr3 0.20.0
Closed 2 months ago
Release mlr3 0.18.0
Closed 2 months ago
can't load mlr3verse library
Closed 2 months ago1
Release mlr3 0.19.0
Closed 4 months ago
get column names used to train a learner?
Closed 8 months ago2
Release mlr3 0.17.1
Closed 8 months ago
Release mlr3 0.17.0
Closed 8 months ago
who is author of Resampling?
Closed 8 months ago6
why mlr3 randomforest importance is different from randomForest package
Closed 9 months ago2
i am sorry i do not know how to delete it
Closed 9 months ago
Error in benchmark_grid A Resampling is instantiated for a task with a different number of observations
Closed 9 months ago4
"classif.svm" and "classif.regr" not in the key of as.data.table(mlr_learners)
Closed 9 months ago2
error message when using examples from mlr3 book
Closed a year ago1
resample$score(predict_sets = 'test') gives same output as resample$score(predict_sets = 'train'). Also, is there any functionality where results from both train and test can be accessed?
Closed a year ago