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Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Results 185 scikit-learn-intelex issues
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### Describe the bug When I add these code ``` from sklearnex import patch_sklearn patch_sklearn() ``` And when used with joblib.dump or pickle.dump, an error will occur ### Steps/Code to...

bug

Can somebody tell me how can I resolve this issue? I have tried looking at my data and find nulls. I can't resolve this issue. This is just a help...

bug

# Description Please include a summary of the change. For large or complex changes please include enough information to introduce your change and explain motivation for it. Changes proposed in...

**Describe the bug** Version 2021.5.3 of `scikit-learn-intelex` seems incompatible with latest 1.1.1 version of `scikit-learn`. Latest `scikit-learn` which works is 1.0.2, so I had to downgrade it. Moreover, I know...

bug

**Description** I'm trying to use Intelex to accelerate training of a SVC. My dataset is pretty tame (18 MB, in fact, I am attaching it, since it is a publicly...

bug

**Describe the bug** SVC model trained with a scipy sparse matrix cannot be serialized (pickled). **To Reproduce** ``` #!/usr/bin/env python import sklearn.svm from sklearn import datasets import scipy.sparse import pickle...

bug

**Describe the bug** There is a crash when fitting a GridSearchCv object running an SVR model within a TransformedTargetRegresor. No problem however, when fitting a GridSearchCv object with either a...

bug

I'm wondering if there is any reason why the patch does not support use sample_weight != None in logistic regression? Whether you plan to support it? If you do, when?

enhancement

# Description Added style guide to the README for those who contribute to documentation. Changes proposed in this pull request: - Styles section in README - -

We ran into a problem with [predict_proba in knn](https://github.com/intel/scikit-learn-intelex/issues/1013). If the **predict_proba** method receives a **list** as input, the method will return an **error**. This is because we were trying...