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# Feature Request
**Describe the Feature Request**
Looking at the documentation it seems like Fortuna implements Inductive Confomal Prediction. I couldn't understand if you are using a mondrian ap…
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Understanding the quality of a prediction is a very important use case which is not supported by scikit-learn. Quartile Regression is about as close as it gets. The formal solution to this is conforma…
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Hello,
do I understand correctly that Mondrian Cross-Conformal Prediction is not implemented in the pipelines ?
Thanks!
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Currently, Autogluon Tabular predicts values without giving an estimate of the uncertainty.
Are you going to integrate methods like [conformal prediction](https://arxiv.org/pdf/2005.07972.pdf) or ano…
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Hello there, there are a few other approaches to this that I have seen and wondered if they are on your radar.
Bellman Conformal Inference (BCI) - optimises prediction intervals for time series …
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This looks like a recent hot topic mainly for machine learning.
Basic idea: use calibration data, separate from estimation/training data, to estimate quantiles and prediction sets or intervals for …
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Hi,
I was keen to use this package since when I've tried to do conformal prediction using quantile regression in the past I've encountered the common issue of quantile forecast results not increas…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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Hello `tidymodels` team,
I'm evaluating integration of `probably` into the `modeltime` forecasting system. It's been requested by several in my slack group to add conformal forecast intervals to mod…