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Classifiers have a `predict_proba` method that makes it possible to quantify probabilistic ally the certainty in the predictions for a given input `X_i`.
Currently most regressors in scikit-learn o…
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A new paper shows that temperature scaling before conformal prediction in several popular models implemented in MAPIE including RAPS leads to unnecessary increase in the width of predictions sets. It …
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Hello @shloknatarajan,
I am analysing your magnificent article and would like to obtain further clarifications on the calculation of the loss and the determination of the intervals. In my case, I a…
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### Module
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### Contact Details
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### Current Behavior
I have two qunatile catboost regressor model but crq.predict(X_test, alpha=0.05) throws an error :- TypeError: _quantile_dis…
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Trying to run hummingbird for NGBRegressor and receiving
`
MissingConverter: Unable to find converter for model type .
It usually means the pipeline being converted contains a
transformer or a pre…
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Following this paper : http://proceedings.mlr.press/v128/messoudi20a.html
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Hi, thanks for the work you done in this field!
I am trying to do a multi-step prediction with timeseries via a LSTM NN. To better present the results i looked for a prediction intervall to use wit…
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I’m new to using xESMF, and I’ve been finding it very useful in my research workflow, particularly in regridding from lat-lon coordinates to a conformal or equal area projection in order to perform im…
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All methods from v1 other than conformal