Comments (2)
berndbischl
commented on June 2, 2024
we dont overdo this, but conservatively maintain / improve one basic standard plot for all 10 recommended learners.
we also dont put the code into the R6 class / mlr3learners package due to dependency problems
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mllg
commented on June 2, 2024
Maybe we can discuss this shortly during the sprint. I'll open separate issues for each "recommended" learner so we can discuss things.
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Related Issues (20)
- `autoplot()` for cluster learner fails HOT 8
- ggplot updates HOT 1
- Release mlr3viz 0.6.0
- Release mlr3viz 0.6.1
- "marginal" plot of OptimInstanceSingleCrit axis labels & alignment, superfluous legends HOT 1
- should autoplot always return a ggplot-object?
- autoplot not producing different plots when imputted with different predict_sets
- wrong order of x-axis of autoplot when used in mlr3fselect
- Release mlr3viz 0.6.3
- Release mlr3viz 0.7.0
- Release mlr3viz 0.8.0
- ROC curve for PredictionClassif objects switches the classes HOT 1
- ROC curves under diagonal with benchmark mlr3 HOT 1
- Inverse ROC HOT 2
- Make autoplot more modular
- Threshold plot type in autoplot HOT 1
- LIFT curve HOT 2
- Autplot for Benchmarking (Change order of boxplots/tasks) HOT 1
- Implement autoplot.Task(, type = "corrplot")
- Drop reshape2 dependency
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