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Hello there,
Thank you for the library and I'm enjoying using it.
I have a problem using myregressoradaptor with a simple linear regressor that is not sklearn.
let's say I have a very simple linear…
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Hi,
I would like to use a pretrained xgboost regression model as a "prefit" estimator in MapieRegressor. However, a K-fold cross-validation strategy was already used while training and hyperparameter…
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https://github.com/sktime/sktime/blob/3c40420da9abfc64198a968a15870ce662c688c9/sktime/forecasting/base/_base.py#L598
Hi together,
every time I am trying to use one of the above functions, I get …
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Summarizes some optional features discussed for `FallbackForecaster` (see first version in https://github.com/sktime/sktime/pull/5779) for future work:
* currently, does not support probabilistic f…
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Hi all
I'm new to the field. I would like to generate between 100 and 50 models for my target sequence to explore conformal flexibility of a specific region. This region is often (comparing predic…
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Hello there,
**Is your documentation request related to a problem? Please describe.**
I've been having difficulty in wrapping my pytorch forecasting models to use with your library. While I hav…
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Just put in ideas for new features or future things to investigate
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# Issue Metrics
_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_
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Bayesian, Deep ensembling, Calibration, dropout, flows?
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>An approximate 95% prediction interval of scores has been constructed by taking the "middle 95%" of the predictions, that is, the interval from the 2.5th percentile to the 97.5th percentile of the pr…