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It would be great to have Histogram-based Gradient Boosting models on top of normal ones as it is much more scalable :
They are supported by scikit-learn:
- https://scikit-learn.org/stable/modules/g…
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Monotonicity constraint is super useful when you have certain domain knowledge that "all else equal, a higher value in feature X should increase or decrease output Y". This is implemented in most fram…
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I'm opening this issue so there is a forum in which to discuss progress on getting survival models into **rstanarm**.
I've started a new survival branch [here](https://github.com/stan-dev/rstanarm/…
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We need to implement the projection for survival models at some point. The actual implementation needs some thinking and is likely to depend on how the survival models are/will be handled in `rstanarm…
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Hi,strengejacke. I really like to use your package for table output and plotting. Your package contains many common models, however, I find that your package does not seem to be able to handle surviva…
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> Similar to report package natural language summaries, I have also tried to generate summary sentences from survival models. I wanted to share it here and ask for comments, since you labelled this is…
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Would it be possible to add a time argument to contrast differences in absolute effects, such as X-time survival probability for survival models or probabilities for logistic regression?
It would use…
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### 🚀 Describe the improvement or the new tutorial
[`TorchSurv`](https://github.com/Novartis/torchsurv) is a Python package that serves as a companion tool to perform deep survival modeling within …
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Hi mlr3proba team,
Some recent recommendations on evaluation/validation of survival prediction models call for estimation of individuals' observed outcome probabilities and the model predicted pro…