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Is it possible to use or to implemnt DESlib with pycaret ?
https://github.com/scikit-learn-contrib/DESlib
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Hi sir,
I am Srinivas presently started working on BCI related to P300, saw your code and tried to execute but getting error which i could not resolve so can you please give some suggestions so that …
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It would be nice if there were a function that could show some info about the classifier, e.g. the expexted dimensionality of input data, the used features, etc.
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# Short Question Description
Hi, I would like to know if I use auto-sklearn for regression, like specifying that the regressor is random forest, I know that I can get the weights and models of the en…
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`sklearn.ensemble.VotingClassifier` is great way to obtain a majority vote from a set of estimators. What appears to be lacking is a similar meta estimator for the regression case. Such a committee es…
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# General info
- [x] Conference: International Conference on Pattern Recognition 2020
- [x] Papers title: Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classificat…
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## Inliner: methodology for code quality measurements
We'd like to measure the impact of inlining on performance, so we can
build predictive models. Ideally we'd measure the _isolated_ impact of
just…
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Hi,
I read through all previous issues to make sure i have the right versions. I have:
- numpy 1.20.1
- river 0.10.1
However I still got the "ValueError: numpy.ufunc size changed, may indicat…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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`Pipeline` should provide a method to apply its transformations to an arbitrary dataset **without** `transform` from the last classifier step.
## Use case:
Boosted tree models like `XGBoost` and …