html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k |
|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31450 | [
"New Feature",
"Needs Decision - Include Feature"
] | Spherical K-means support (unit norm centroids and input)
### Describe the workflow you want to enable
Hi,
I was wondering if there is—or has been—any initiative to support cosine similarity in the KMeans implementation (i.e., spherical KMeans). I find the algorithm quite useful and would be happy to propose an imple... | 31,450 |
https://github.com/scikit-learn/scikit-learn/issues/31444 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: May 28, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/15291085639)** (May 28, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/15315855640) on May 29... | 31,444 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31443 | [
"Documentation"
] | Folder/Directory descriptions not present
### Describe the issue linked to the documentation
I was navigating through the codebase, trying to find source code for some algorithms. I noticed that there are no descriptions of files present within a folder, which would actually make it easier to navigate through the cod... | 31,443 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31441 | [
"New Feature",
"Needs Triage"
] | Regression error characteristic curve
### Describe the workflow you want to enable
Add more fine-grained diagnostic, similar to ROC or Precision-Recall curves, to regression problems. It appears that this library has a lot of excellent tools for classification, and I believe it would benefit from some additional tool... | 31,441 |
https://github.com/scikit-learn/scikit-learn/issues/31423 | [
"Bug",
"Needs Triage"
] | The libomp.dylib shipped with the macOS x86_64 package does not have an SDK version set
### Describe the bug
I want to build an macOS app that uses scikit-learn as a dependency. Using the arm64 package of scikit-learn for this works flawlessly. However, if I want to do the same using the macOS x86_64 packages Apple's... | 31,423 |
https://github.com/scikit-learn/scikit-learn/issues/31423 | [
"Bug",
"Needs Triage"
] | The libomp.dylib shipped with the macOS x86_64 package does not have an SDK version set
### Describe the bug
I want to build an macOS app that uses scikit-learn as a dependency. Using the arm64 package of scikit-learn for this works flawlessly. However, if I want to do the same using the macOS x86_64 packages Apple's... | 31,423 |
https://github.com/scikit-learn/scikit-learn/issues/31423 | [
"Bug",
"Needs Triage"
] | The libomp.dylib shipped with the macOS x86_64 package does not have an SDK version set
### Describe the bug
I want to build an macOS app that uses scikit-learn as a dependency. Using the arm64 package of scikit-learn for this works flawlessly. However, if I want to do the same using the macOS x86_64 packages Apple's... | 31,423 |
https://github.com/scikit-learn/scikit-learn/issues/31415 | [
"Bug",
"Needs Triage"
] | Discrepancy between output of classifier feature_importances_ with different sklearn installations
### Describe the bug
I am currently using `scikit-learn` classifier `feature_importances_` attribute on a project to rank important features from my model, and my `CI` pipeline runs the project test-suite using instance... | 31,415 |
https://github.com/scikit-learn/scikit-learn/issues/31415 | [
"Bug",
"Needs Triage"
] | Discrepancy between output of classifier feature_importances_ with different sklearn installations
### Describe the bug
I am currently using `scikit-learn` classifier `feature_importances_` attribute on a project to rank important features from my model, and my `CI` pipeline runs the project test-suite using instance... | 31,415 |
https://github.com/scikit-learn/scikit-learn/issues/31415 | [
"Bug",
"Needs Triage"
] | Discrepancy between output of classifier feature_importances_ with different sklearn installations
### Describe the bug
I am currently using `scikit-learn` classifier `feature_importances_` attribute on a project to rank important features from my model, and my `CI` pipeline runs the project test-suite using instance... | 31,415 |
https://github.com/scikit-learn/scikit-learn/issues/31412 | [
"Needs Triage"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,412 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31408 | [
"Bug",
"Needs Investigation"
] | estimator_checks_generator does not return (estimator, check) when hitting an expected failed check
### Describe the bug
Currently running sklearn_check_generator with mark="skip" on our estimators.
https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generator.html
I wo... | 31,408 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31407 | [
"Bug",
"help wanted",
"Hard",
"Needs Reproducible Code",
"Needs Investigation"
] | Cannot recover DBSCAN from memory-overuse
### Describe the bug
I also just ran into this issue that the program gets killed when running DBSCAN, similar to:
https://github.com/scikit-learn/scikit-learn/issues/22531
The documentation update already helps and I think it's ok for the algorithm to fail. But currently th... | 31,407 |
https://github.com/scikit-learn/scikit-learn/issues/31403 | [
"Bug",
"Needs Triage"
] | [PCA] ValueError: too many values to unpack (expected 3)
### Describe the bug
I am getting the following error when running PCA with version 1.6.1:
<img width="956" alt="Image" src="https://github.com/user-attachments/assets/4a576ca3-2268-45c0-8fa8-cccea16fce6d" />
### Steps/Code to Reproduce
You can reproduce i... | 31,403 |
https://github.com/scikit-learn/scikit-learn/issues/31403 | [
"Bug",
"Needs Triage"
] | [PCA] ValueError: too many values to unpack (expected 3)
### Describe the bug
I am getting the following error when running PCA with version 1.6.1:
<img width="956" alt="Image" src="https://github.com/user-attachments/assets/4a576ca3-2268-45c0-8fa8-cccea16fce6d" />
### Steps/Code to Reproduce
You can reproduce i... | 31,403 |
https://github.com/scikit-learn/scikit-learn/issues/31403 | [
"Bug",
"Needs Triage"
] | [PCA] ValueError: too many values to unpack (expected 3)
### Describe the bug
I am getting the following error when running PCA with version 1.6.1:
<img width="956" alt="Image" src="https://github.com/user-attachments/assets/4a576ca3-2268-45c0-8fa8-cccea16fce6d" />
### Steps/Code to Reproduce
You can reproduce i... | 31,403 |
https://github.com/scikit-learn/scikit-learn/issues/31399 | [
"Documentation"
] | DOC Jupyterlite raises a ValueError when using plotly
### Describe the issue linked to the documentation
Running for instance `plot_forest_hist_grad_boosting_comparison` in jupyterlite raises a `ValueError: Mime type rendering requires nbformat>=4.2.0 but it is not installed`. I tried adding `%pip install nbformat` a... | 31,399 |
https://github.com/scikit-learn/scikit-learn/issues/31395 | [
"Bug",
"Needs Triage"
] | RuntimeWarnings: divide by zero, overflow, invalid value encountered in matmul
### Describe the bug
While running feature selection, I get the following warnings:
.../lib/python3.12/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: divide by zero encountered in matmul
ret = a @ b
.../lib/python3.12/site-p... | 31,395 |
https://github.com/scikit-learn/scikit-learn/issues/31395 | [
"Bug",
"Needs Triage"
] | RuntimeWarnings: divide by zero, overflow, invalid value encountered in matmul
### Describe the bug
While running feature selection, I get the following warnings:
.../lib/python3.12/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: divide by zero encountered in matmul
ret = a @ b
.../lib/python3.12/site-p... | 31,395 |
https://github.com/scikit-learn/scikit-learn/issues/31391 | [
"Needs Decision"
] | Avoid bundling tests in wheels
### Describe the bug
The wheels currently include tests and test data. These usually are of no additional value outside of the source distributions and thus just bloat the distribution and complicate reviews. For this reasons, I recommend excluding them from future wheels.
This matches... | 31,391 |
https://github.com/scikit-learn/scikit-learn/issues/31391 | [
"Needs Decision"
] | Avoid bundling tests in wheels
### Describe the bug
The wheels currently include tests and test data. These usually are of no additional value outside of the source distributions and thus just bloat the distribution and complicate reviews. For this reasons, I recommend excluding them from future wheels.
This matches... | 31,391 |
https://github.com/scikit-learn/scikit-learn/issues/31391 | [
"Needs Decision"
] | Avoid bundling tests in wheels
### Describe the bug
The wheels currently include tests and test data. These usually are of no additional value outside of the source distributions and thus just bloat the distribution and complicate reviews. For this reasons, I recommend excluding them from future wheels.
This matches... | 31,391 |
https://github.com/scikit-learn/scikit-learn/issues/31391 | [
"Needs Decision"
] | Avoid bundling tests in wheels
### Describe the bug
The wheels currently include tests and test data. These usually are of no additional value outside of the source distributions and thus just bloat the distribution and complicate reviews. For this reasons, I recommend excluding them from future wheels.
This matches... | 31,391 |
https://github.com/scikit-learn/scikit-learn/issues/31391 | [
"Needs Decision"
] | Avoid bundling tests in wheels
### Describe the bug
The wheels currently include tests and test data. These usually are of no additional value outside of the source distributions and thus just bloat the distribution and complicate reviews. For this reasons, I recommend excluding them from future wheels.
This matches... | 31,391 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31390 | [
"Needs Investigation"
] | Contains code not allowed for commercial use
### Describe the bug
https://github.com/scikit-learn/scikit-learn/blob/ff6bf36f06ca80bf505f37a8c5c42047129952ec/sklearn/datasets/_samples_generator.py#L1900 refers to code at https://homepages.ecs.vuw.ac.nz/~marslast/Code/Ch6/lle.py, which contains the following notice (em... | 31,390 |
https://github.com/scikit-learn/scikit-learn/issues/31389 | [
"good first issue",
"help wanted"
] | Incomplete cleanup of Boston dataset
### Describe the bug
In #24603, the Boston dataset has been removed. Nevertheless, the corresponding dataset apparently is still being distributed with the package: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/datasets/data/boston_house_prices.csv This does not l... | 31,389 |
https://github.com/scikit-learn/scikit-learn/issues/31382 | [
"New Feature",
"Needs Triage"
] | ENH assert statement using AssertionError for `_agglomerative.py` file
### Describe the workflow you want to enable
According to the [Bandit Developers document](https://bandit.readthedocs.io/en/latest/plugins/b101_assert_used.html#module-bandit.plugins.asserts), assert is removed with compiling to optimised byte cod... | 31,382 |
https://github.com/scikit-learn/scikit-learn/issues/31377 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: May 18, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/15092078672)** (May 18, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/15103927263) on May 19... | 31,377 |
https://github.com/scikit-learn/scikit-learn/issues/31374 | [
"Easy"
] | Suggested fix: GaussianProcessRegressor.predict wastes significant time when both `return_std` and `return_cov` are `False`
### Describe the workflow you want to enable
https://github.com/scikit-learn/scikit-learn/commit/7b715111bff01e836fcd3413851381c6a1057ca4 moved duplicated code above the conditional statements, ... | 31,374 |
https://github.com/scikit-learn/scikit-learn/issues/31374 | [
"Easy"
] | Suggested fix: GaussianProcessRegressor.predict wastes significant time when both `return_std` and `return_cov` are `False`
### Describe the workflow you want to enable
https://github.com/scikit-learn/scikit-learn/commit/7b715111bff01e836fcd3413851381c6a1057ca4 moved duplicated code above the conditional statements, ... | 31,374 |
https://github.com/scikit-learn/scikit-learn/issues/31374 | [
"Easy"
] | Suggested fix: GaussianProcessRegressor.predict wastes significant time when both `return_std` and `return_cov` are `False`
### Describe the workflow you want to enable
https://github.com/scikit-learn/scikit-learn/commit/7b715111bff01e836fcd3413851381c6a1057ca4 moved duplicated code above the conditional statements, ... | 31,374 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31373 | [
"Bug",
"module:impute"
] | SimpleImputer converts `int32[pyarrow]` extension array to `float64`, subsequently crashing with numpy `int32` values
### Describe the bug
When using the `SimpleImputer` with a pyarrow-backed pandas DataFrame, any float/integer data is converted to `None`/`float64` instead.
This causes the imputer to be fitted to `fl... | 31,373 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31368 | [
"Array API"
] | `_weighted_percentile` NaN handling with array API
There isn't *necessarily* anything to fix here, but I thought it would be useful to open this for documentation, at least.
---
`_weighted_percentile` added support for NaN in #29034 and support for array APIs in #29431.
Our implementation relys on `sort` putting Na... | 31,368 |
https://github.com/scikit-learn/scikit-learn/issues/31367 | [
"module:utils"
] | Inconsistent `median`/`quantile` behaviour now `_weighted_percentile` ignores NaNs
As of https://github.com/scikit-learn/scikit-learn/pull/29034, `_weighted_percentile` handles NaNs by ignoring them when calculating `percentile`.
`np.median` and `np.percentile` on the other hand, will return NaN if a NaN is present in... | 31,367 |
https://github.com/scikit-learn/scikit-learn/issues/31367 | [
"module:utils"
] | Inconsistent `median`/`quantile` behaviour now `_weighted_percentile` ignores NaNs
As of https://github.com/scikit-learn/scikit-learn/pull/29034, `_weighted_percentile` handles NaNs by ignoring them when calculating `percentile`.
`np.median` and `np.percentile` on the other hand, will return NaN if a NaN is present in... | 31,367 |
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