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* cleanup: removed all `PipeOp`s and pipelines related to survival => regression reduction techniques (see #414)
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* fix: `$predict_type` of `survtoclassif_disctime` and `survtoclassif_IPCW` was `prob` (classification type) and not `crank` (survival type)
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* fix: G(t) is not filtered when `t_max|p_max` is specified in scoring rules (didn't influence evaluation at all)
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* docs: Clarified the use and impact of using `t_max` in scoring rules
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* docs: Clarified the use and impact of using `t_max` in scoring rules, added examples in scoring rules and AUC scores
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* feat: Added new argument `remove_obs` in scoring rules to remove observations with observed time `t > t_max` as a processing step to alleviate IPCW issues.
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This was before 'hard-coded' which made the Integrated Brier Score (`msr("surv.graf")`) differ minimally from other implementations and the original definition.
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