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/31872 | [
"Bug"
] | Strange normalization of semi-supervised label propagation in `_build_graph`
The method `_build_graph` on the `LabelPropagation` class in `sklearn/semi_supervised/_label_propagation.py` [(line 455)](https://github.com/scikit-learn/scikit-learn/blob/7d1d96819172e2a7c826f04c68b9d93188cf6a92/sklearn/semi_supervised/_labe... | 31,872 |
https://github.com/scikit-learn/scikit-learn/issues/31871 | [
"New Feature",
"Needs Decision - Include Feature"
] | Proposal to Contribute Uncertainty Quantification via Aleatoric/Epistemic Decomposition to scikit-learn
### Describe the workflow you want to enable
Hi,
While ensemble methods like RandomForestRegressor are widely used, scikit-learn currently lacks native support for estimating and exposing predictive uncertainty—an... | 31,871 |
https://github.com/scikit-learn/scikit-learn/issues/31871 | [
"New Feature",
"Needs Decision - Include Feature"
] | Proposal to Contribute Uncertainty Quantification via Aleatoric/Epistemic Decomposition to scikit-learn
### Describe the workflow you want to enable
Hi,
While ensemble methods like RandomForestRegressor are widely used, scikit-learn currently lacks native support for estimating and exposing predictive uncertainty—an... | 31,871 |
https://github.com/scikit-learn/scikit-learn/issues/31870 | [
"New Feature",
"Needs Triage"
] | Faster algorithm for KMeans
### Describe the workflow you want to enable
Dear community and developers,
I think [this work](https://arxiv.org/abs/2308.09701) might be interesting to the scikit-community. In this work, we discuss 2 classical algorithms for an sampling-based version of k-means, which return an epsil... | 31,870 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31869 | [
"New Feature",
"help wanted",
"Hard",
"module:calibration",
"Array API"
] | Array API support for CalibratedClassifierCV
### Describe the workflow you want to enable
Towards #26024.
Use `CalibratedClassifierCV` with pytorch or tensorflow models.
This has become even more interesting use case with #31068.
### Describe your proposed solution
In line with out Array API adoption path.
- [x] ... | 31,869 |
https://github.com/scikit-learn/scikit-learn/issues/31862 | [
"Bug",
"Needs Triage"
] | Ordinal Encoder Type Hints State unknown_value should be float, but this produces an error.
### Describe the bug
Following the type hints of the OrdinalEncoder I set the unknown_value parameter to -1.0.
<img width="507" height="146" alt="Image" src="https://github.com/user-attachments/assets/b9c86ab1-7a23-47b3-ad89-... | 31,862 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31859 | [
"Bug",
"module:linear_model"
] | Intercepts of Newton-Cholesky logistic regression get corrupted when warm starting
### Describe the bug
When using multinomial logistic regression with warm starts from a previous iteration, the final coefficients in the model are correct, but the intercepts somehow get filled with incorrect numbers somewhere.
As a ... | 31,859 |
https://github.com/scikit-learn/scikit-learn/issues/31849 | [
"New Feature",
"Needs Triage"
] | Extend make file to inlcude initial setup installations.
### Describe the workflow you want to enable
I recently made my first contribution to sklearn and found it a bit tidious to do the initial setup after cloning the repo. I think that extending the make file to include something similar to `make inital setup` to ... | 31,849 |
https://github.com/scikit-learn/scikit-learn/issues/31840 | [
"New Feature"
] | SkLearn IQR function
### Describe the workflow you want to enable
Recently, I was working on a machine learning project with a dataset that was quite skewed. I repeatedly had to compute the interquartile range (IQR), calculate the 25th and 75th percentiles, visualize the box plot, and then remove outliers — all manua... | 31,840 |
https://github.com/scikit-learn/scikit-learn/issues/31840 | [
"New Feature"
] | SkLearn IQR function
### Describe the workflow you want to enable
Recently, I was working on a machine learning project with a dataset that was quite skewed. I repeatedly had to compute the interquartile range (IQR), calculate the 25th and 75th percentiles, visualize the box plot, and then remove outliers — all manua... | 31,840 |
https://github.com/scikit-learn/scikit-learn/issues/31834 | [
"Bug",
"Needs Triage"
] | Resource cleanup issues in dataset loaders: files opened but not closed.
### Describe the bug
Two dataset loader functions in `sklearn.datasets` have resource cleanup issues where files are opened but not properly closed using context managers, potentially leading to resource leaks.
The first one is more important:
... | 31,834 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31810 | [
"Build / CI",
"Needs Decision"
] | CI: Enable GitHub Actions App for ppc64le (Power architecture) support
Hi scikit-learn team,
We’re reaching out to propose enabling CI support for the ppc64le (IBM Power) architecture in your repository, as part of a broader effort to ensure cross-platform compatibility in the scientific Python ecosystem.
We’re usin... | 31,810 |
https://github.com/scikit-learn/scikit-learn/issues/31808 | [
"Enhancement",
"Moderate",
"module:compose",
"module:preprocessing",
"Pandas compatibility"
] | Handle new `pd.StringDtype` that is coming in pandas 3
This issue is the result of investigating https://github.com/scikit-learn/scikit-learn/issues/31778
The failures in the nightlies are due to changes coming in pandas 3.0. In particular the switch to using `StringDtype` as the type for string columns. The old beha... | 31,808 |
https://github.com/scikit-learn/scikit-learn/issues/31808 | [
"Enhancement",
"Moderate",
"module:compose",
"module:preprocessing",
"Pandas compatibility"
] | Handle new `pd.StringDtype` that is coming in pandas 3
This issue is the result of investigating https://github.com/scikit-learn/scikit-learn/issues/31778
The failures in the nightlies are due to changes coming in pandas 3.0. In particular the switch to using `StringDtype` as the type for string columns. The old beha... | 31,808 |
https://github.com/scikit-learn/scikit-learn/issues/31808 | [
"Enhancement",
"Moderate",
"module:compose",
"module:preprocessing",
"Pandas compatibility"
] | Handle new `pd.StringDtype` that is coming in pandas 3
This issue is the result of investigating https://github.com/scikit-learn/scikit-learn/issues/31778
The failures in the nightlies are due to changes coming in pandas 3.0. In particular the switch to using `StringDtype` as the type for string columns. The old beha... | 31,808 |
https://github.com/scikit-learn/scikit-learn/issues/31804 | [
"Documentation",
"Metadata Routing"
] | DOC metadata docstrings generator has wrong indentation
### Describe the issue linked to the documentation
I am a maintainer of a third party package [fastcan](https://github.com/scikit-learn-contrib/fastcan).
After I update the scikit-learn version from 1.7.0 to 1.7.1, the Sphinx document generation gives the follo... | 31,804 |
https://github.com/scikit-learn/scikit-learn/issues/31799 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 21, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=78376&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 21, 2025)
- Test Collection Failure
COMMENT:
Th... | 31,799 |
https://github.com/scikit-learn/scikit-learn/issues/31799 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 21, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=78376&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 21, 2025)
- Test Collection Failure
COMMENT:
##... | 31,799 |
https://github.com/scikit-learn/scikit-learn/issues/31799 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 21, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=78376&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 21, 2025)
- Test Collection Failure
COMMENT:
If... | 31,799 |
https://github.com/scikit-learn/scikit-learn/issues/31789 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jul 19, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/16384706430)** (Jul 19, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/16395867301) on Jul 20... | 31,789 |
https://github.com/scikit-learn/scikit-learn/issues/31781 | [
"Documentation",
"Needs Triage"
] | Documentation may be inaccurate regarding deprecation of `multi_class` in LogisticRegression
### Describe the issue linked to the documentation
In the documentation for `LogisticRegression` under `multi_class`, there is a [note:](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressi... | 31,781 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31776 | [
"Bug",
"Documentation"
] | Documentation Bug: Warning about "unstable development version"
### Describe the issue linked to the documentation
When browsing the scikit-learn documentation, I selected a stable version (e.g., 1.7.0) from the versions. However, I still see the warning banner at the top of the page: **This is documentation for an u... | 31,776 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31773 | [
"High Priority"
] | Anaconda new ToS causing CI failures
New Anaconda ToS: https://www.anaconda.com/legal/terms/terms-of-service , effective 15 July 2025, is causing the follow error in our CIs:
```
CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before procee... | 31,773 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31761 | [
"API"
] | y_pred changed to y_true in RocCurveDisplay.from_predictions, but not in DetCurveDisplay.from_predictions
The parameter `y_pred` was deprecated in `RocCurveDisplay.from_predictions` and replaced by `y_score`. Although the `y_pred` parameter in `DetCurveDisplay.from_predictions` has an identical docstring (except for... | 31,761 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31754 | [
"New Feature"
] | In Balltree, filter out/mask specific points in query
### Describe the workflow you want to enable
I would like to be able to query nearest points within a Balltree but excluding some of them.
E.g. I create a Balltree on 60k points. I want to find the k nearest neighbour points but within a subset of the 60k points. ... | 31,754 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
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