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NEWS.md

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# mlr3proba dev
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* feat: add `default_fallback()` (returns `surv.kaplan`)
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* feat: add `importance` and `selected_features` properties in Kaplan-Meier for compatibility with other survival learners when it is used as a fallback learner
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* feat: add `importance`, `weights` and `selected_features` properties in Kaplan-Meier for compatibility with other survival learners when it is used as a fallback learner
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# mlr3proba 0.8.2
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