nonconformist
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Python implementation of the conformal prediction framework.
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...
Please replace this bit: https://github.com/donlnz/nonconformist/blob/cdef0d1fb9a512dbac912e735f417270d26564a9/nonconformist/acp.py#L10-L11 by: `from sklearn.model_selection import KFold, StratifiedKFold` `from sklearn.model_selection import ShuffleSplit, StratifiedShuffleSplit`
For most of embedded Linux distribution, sklearn is not included due to limited resource. This PR is to remove sklearn dependency and reuse fastai TreeEnsemble implementation as the ICP underlying...
in https://github.com/donlnz/nonconformist/blob/cdef0d1fb9a512dbac912e735f417270d26564a9/nonconformist/cp.py#L169 with due attention to http://www.quantware.ups-tlse.fr/ecoleluchon2015/slides/luo.pdf compute the p-values p0 and p1 for both completions (with the tentative labels 0 and 1 for the new image, respectively); • if...
Users may have predictions generated from different fitted underlying models in different languages and just want to get the prediction interval. This change allows user to set underlying model =...
Hello, I couldn't figure out from checking the code and limited documentation if there is support for providing prediction intervals or bands around future predictions. For instance, as in https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12021...
Hello, do I understand correctly that Mondrian Cross-Conformal Prediction is not implemented in the pipelines ? Thanks!
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...
Thanks for nonconformist library release. I want to connect my regression(LSTM) model in TensorFlow to this nonconformist's IcpRegressor. How can I do this?
#### Description The argument `significance` has no default value (`None` expected) in the following functions : - reg_mean_errors - reg_min_size - reg_q1_size - reg_median_size - reg_q3_size - reg_max_size - reg_mean_size