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37 Open 628 Closed
37 Open 628 Closed
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Issues list

Multiple outputs for regression task Status: Discussion Needed Type: Enhancement
#1296 opened Apr 25, 2025 by tdhock
7
Check usage of param_set$values
#1295 opened Apr 23, 2025 by sebffischer
Missing checks on number of rows in ResamplingCV / do we handle grouping & stratification properly?
#1293 opened Apr 23, 2025 by sebffischer
1
Move measures-things into mlr3measures? Status: Discussion Needed
#1291 opened Apr 17, 2025 by mb706
Should ID of msr("regr.rsq") be "regr.rsq"?
#1287 opened Apr 16, 2025 by mb706
1
Documentation: Add examples to R6 methods
#1284 opened Apr 14, 2025 by sebffischer
Assign custom classes to errors and warnings
#1283 opened Apr 11, 2025 by sebffischer
ResampleResult and BenchmarkResult should expose a method to change the threshold after the fact Workshop
#1270 opened Mar 27, 2025 by sebffischer
@sebffischer
1
Error: target transformation in spatial regression tasks Workshop
#1281 opened Feb 24, 2025 by jgloeggler
3
Consider adding support for the polars dataframe. Workshop
#1258 opened Feb 10, 2025 by trafficfan
1
@lona-k
1
c should compare resampling hashes when combining benchmark results or resample results Status: Discussion Needed Workshop
#1252 opened Jan 31, 2025 by sebffischer
When resample (and benchmark?) get instantiated resampling instance, they should check validity Status: Discussion Needed Workshop
#1236 opened Dec 21, 2024 by mb706
1
Resampling with store_models = TRUE is slow Type: Optimizaton
#1222 opened Nov 28, 2024 by be-marc
1
Feature Request: Add possibility so set default logging level for all mlr3-related loggers Type: Enhancement Workshop
#1217 opened Nov 27, 2024 by sebffischer
@lona-k
4
Feature Request: Out-Of-Bag Error should not require storing the model. Status: Discussion Needed Type: Enhancement Workshop
#1158 opened Sep 3, 2024 by sebffischer
@be-marc
7
check whether we wanna allow assigment on task (measure, etc) properties Status: Discussion Needed Workshop
#1149 opened Aug 29, 2024 by berndbischl
1
if we add: "measure_weights". more measures can be weighted Weights Workshop
#1145 opened Aug 29, 2024 by berndbischl
FeaturelessLearner: if "learner_weights" is added, the FFL should support weights too Weights Workshop
#1142 opened Aug 29, 2024 by berndbischl
1
we really need to check code for metrics in terms of "sample_weights" and normalization. Weights Workshop
#1138 opened Aug 29, 2024 by berndbischl
2
docs in mlr3measures still say "weighted measures get normalized" Weights Workshop
#1137 opened Aug 29, 2024 by berndbischl
1
we should maybe check in learner / autotest that weights_learner influences the fit / the predictions of the learner Weights Workshop
#1117 opened Aug 23, 2024 by berndbischl
3
Measures: the whole NA handling seems overly complicated Status: Discussion Needed Workshop
#1099 opened Aug 20, 2024 by berndbischl
@mllg
3
columns that are not present during prediction that are not targets Status: Discussion Needed Type: Enhancement Workshop
#1009 opened Mar 12, 2024 by mb706
option to "flatten" backends
#942 opened Jul 13, 2023 by mb706
@mb706
PipeOp "classweights" should throw a warning if it is attached to a learner which does not have the "weights" property Workshop
#931 opened Mar 7, 2023 by FlorianPargent
@mb706
2
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