Comments (3)
why is it not used anymore? the issue is a bit short. i thought we are storing the model in the learner?
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We are storing it in the experiment as far as i can see it.
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hmm can we please not change these API things after millions of hours of discussion in dortmund without at least an issue? @mllg
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Related Issues (20)
- Measure's check_prerequisites is ignored when calling `$score()` on a ResampleResult
- NumFOCUS funding HOT 1
- ResampleResult and BenchmarkResult's `$score()` behave surprisingly when passing a `predict_set`
- Release mlr3 0.18.0
- columns that are not present during prediction that are not targets
- Feature Request: Predict type `"ci"` in addition to `"se"` HOT 1
- `$score()` has surprising behaviour when passing the argument `predict_sets`
- Callback Hooks for `resample()` / `benchmark()`
- Feature Request: Featureless Learner should allow to specify metric to be optimized
- Column role "weight" HOT 2
- Release mlr3 0.19.0
- Task printer should give target class info
- Consider making BLAS thread setting optional, RhpcBLASctl Suggests HOT 1
- Results are not repeatable HOT 1
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- Release mlr3 0.17.1
- resample() does not set data_prototype (and task_prototype), which some learners rely on HOT 6
- get column names used to train a learner? HOT 2
- Measure Documentations could be improved
- predict_time can be (kind of) wrong
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