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/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32207 | [
"Needs Decision",
"RFC"
] | RFC: Proposal for autoclose option for non-compliant PRs
Following up on the discussion in #31679 about low-effort contributions (like ai-generated with low human supervision), @lucyleeow and me worked out an idea: We would like to propose introducing an autoclose option for PRs that gets triggered when setting an "au... | 32,207 |
https://github.com/scikit-learn/scikit-learn/issues/32204 | [
"Documentation"
] | DOC: add explanations about criterion="friedman_mse" in decision trees doc
### Describe the issue linked to the documentation
There is almost nothing in the doc about it. And you don't find informative ressources about it online easily. So it's probably really obscure for 99% of users.
### Suggest a potential alte... | 32,204 |
https://github.com/scikit-learn/scikit-learn/issues/32204 | [
"Documentation"
] | DOC: add explanations about criterion="friedman_mse" in decision trees doc
### Describe the issue linked to the documentation
There is almost nothing in the doc about it. And you don't find informative ressources about it online easily. So it's probably really obscure for 99% of users.
### Suggest a potential alte... | 32,204 |
https://github.com/scikit-learn/scikit-learn/issues/32204 | [
"Documentation"
] | DOC: add explanations about criterion="friedman_mse" in decision trees doc
### Describe the issue linked to the documentation
There is almost nothing in the doc about it. And you don't find informative ressources about it online easily. So it's probably really obscure for 99% of users.
### Suggest a potential alte... | 32,204 |
https://github.com/scikit-learn/scikit-learn/issues/32201 | [
"New Feature",
"module:inspection"
] | [FEAT] Let `importance_getter` from RFE accept test data for permutation importance
### Describe the workflow you want to enable
To recursively eliminate features, `permutation_importance` is a sensible method of feature importance as it satisfies $X_j \perp Y | X_{-j} \iff \texttt{PermutationImportance}(X_j) = 0$ (s... | 32,201 |
https://github.com/scikit-learn/scikit-learn/issues/32201 | [
"New Feature",
"module:inspection"
] | [FEAT] Let `importance_getter` from RFE accept test data for permutation importance
### Describe the workflow you want to enable
To recursively eliminate features, `permutation_importance` is a sensible method of feature importance as it satisfies $X_j \perp Y | X_{-j} \iff \texttt{PermutationImportance}(X_j) = 0$ (s... | 32,201 |
https://github.com/scikit-learn/scikit-learn/issues/32194 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Sep 16, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=80046&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Sep 16, 2025)
- Test Collection Failure
COMMENT:
##... | 32,194 |
https://github.com/scikit-learn/scikit-learn/issues/32192 | [
"Bug",
"module:tree"
] | MNT test_tree.py::test_diabetes_underfit is flaky: it fails when changing the random seed
### Describe the bug
`test_tree.py::test_diabetes_underfit` is flaky: it fails when changing the random seed.
I will open a PR to fix it.
### Steps/Code to Reproduce
Change the random seed in `sklearn/tree/tests/test_tree.py... | 32,192 |
https://github.com/scikit-learn/scikit-learn/issues/32192 | [
"Bug",
"module:tree"
] | MNT test_tree.py::test_diabetes_underfit is flaky: it fails when changing the random seed
### Describe the bug
`test_tree.py::test_diabetes_underfit` is flaky: it fails when changing the random seed.
I will open a PR to fix it.
### Steps/Code to Reproduce
Change the random seed in `sklearn/tree/tests/test_tree.py... | 32,192 |
https://github.com/scikit-learn/scikit-learn/issues/32189 | [
"Bug",
"Needs Triage"
] | Windows kernel crash when calling LinearRegression().fit().predict() on small dataset
### Describe the bug
Using `sklearn.linear_model.LinearRegression` on Windows 11 ,Lenovo Legion laptop ,intel i7 core with a very small dataset (46 samples × 5 features) causes the Jupyter Notebook kernel to immediately crash and re... | 32,189 |
https://github.com/scikit-learn/scikit-learn/issues/32189 | [
"Bug",
"Needs Triage"
] | Windows kernel crash when calling LinearRegression().fit().predict() on small dataset
### Describe the bug
Using `sklearn.linear_model.LinearRegression` on Windows 11 ,Lenovo Legion laptop ,intel i7 core with a very small dataset (46 samples × 5 features) causes the Jupyter Notebook kernel to immediately crash and re... | 32,189 |
https://github.com/scikit-learn/scikit-learn/issues/32189 | [
"Bug",
"Needs Triage"
] | Windows kernel crash when calling LinearRegression().fit().predict() on small dataset
### Describe the bug
Using `sklearn.linear_model.LinearRegression` on Windows 11 ,Lenovo Legion laptop ,intel i7 core with a very small dataset (46 samples × 5 features) causes the Jupyter Notebook kernel to immediately crash and re... | 32,189 |
https://github.com/scikit-learn/scikit-learn/issues/32184 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas (last failure: Sep 30, 2025) ⚠️
**CI is still failing on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=80535&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Sep 30, 2025)
- test_fit_transform[98]
COMM... | 32,184 |
https://github.com/scikit-learn/scikit-learn/issues/32184 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas (last failure: Sep 30, 2025) ⚠️
**CI is still failing on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=80535&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Sep 30, 2025)
- test_fit_transform[98]
COMM... | 32,184 |
https://github.com/scikit-learn/scikit-learn/issues/32184 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas (last failure: Sep 30, 2025) ⚠️
**CI is still failing on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=80535&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Sep 30, 2025)
- test_fit_transform[98]
COMM... | 32,184 |
https://github.com/scikit-learn/scikit-learn/issues/32184 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas (last failure: Sep 30, 2025) ⚠️
**CI is still failing on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=80535&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Sep 30, 2025)
- test_fit_transform[98]
COMM... | 32,184 |
https://github.com/scikit-learn/scikit-learn/issues/32178 | [
"Bug",
"module:tree"
] | Trees: impurity decrease calculation is buggy when there are missing values
### Describe the bug
In decision trees (both classif. and regression), the impurity decrease calculation is sometimes wrong when there are missing values in X.
This can lead to unexpectedly shallow trees when using `min_impurity_decrease` to... | 32,178 |
https://github.com/scikit-learn/scikit-learn/issues/32178 | [
"Bug",
"module:tree"
] | Trees: impurity decrease calculation is buggy when there are missing values
### Describe the bug
In decision trees (both classif. and regression), the impurity decrease calculation is sometimes wrong when there are missing values in X.
This can lead to unexpectedly shallow trees when using `min_impurity_decrease` to... | 32,178 |
https://github.com/scikit-learn/scikit-learn/issues/32178 | [
"Bug",
"module:tree"
] | Trees: impurity decrease calculation is buggy when there are missing values
### Describe the bug
In decision trees (both classif. and regression), the impurity decrease calculation is sometimes wrong when there are missing values in X.
This can lead to unexpectedly shallow trees when using `min_impurity_decrease` to... | 32,178 |
https://github.com/scikit-learn/scikit-learn/issues/32178 | [
"Bug",
"module:tree"
] | Trees: impurity decrease calculation is buggy when there are missing values
### Describe the bug
In decision trees (both classif. and regression), the impurity decrease calculation is sometimes wrong when there are missing values in X.
This can lead to unexpectedly shallow trees when using `min_impurity_decrease` to... | 32,178 |
https://github.com/scikit-learn/scikit-learn/issues/32176 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Ubuntu_Atlas.ubuntu_atlas (last failure: Sep 13, 2025) ⚠️
**CI failed on [Ubuntu_Atlas.ubuntu_atlas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=79967&view=logs&j=689a1c8f-ff4e-5689-1a1a-6fa551ae9eba)** (Sep 13, 2025)
- test_fit_transform[98]
COMMENT:
## CI is no longer fail... | 32,176 |
https://github.com/scikit-learn/scikit-learn/issues/32176 | [
"Bug",
"module:test-suite"
] | ⚠️ CI failed on Ubuntu_Atlas.ubuntu_atlas (last failure: Sep 13, 2025) ⚠️
**CI failed on [Ubuntu_Atlas.ubuntu_atlas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=79967&view=logs&j=689a1c8f-ff4e-5689-1a1a-6fa551ae9eba)** (Sep 13, 2025)
- test_fit_transform[98]
COMMENT:
similar to https://gith... | 32,176 |
https://github.com/scikit-learn/scikit-learn/issues/32175 | [
"Bug",
"module:ensemble"
] | Unexpected behavior of tree splits: missing values handling is buggy?
### Describe the bug
When adding a sanity check in the best split function (`_splitter.pxy`), I get a bunch of tests failing. This probably reveal a bug in missing values handling.
### Steps/Code to Reproduce
Add those lines after [this line](htt... | 32,175 |
https://github.com/scikit-learn/scikit-learn/issues/32175 | [
"Bug",
"module:ensemble"
] | Unexpected behavior of tree splits: missing values handling is buggy?
### Describe the bug
When adding a sanity check in the best split function (`_splitter.pxy`), I get a bunch of tests failing. This probably reveal a bug in missing values handling.
### Steps/Code to Reproduce
Add those lines after [this line](htt... | 32,175 |
https://github.com/scikit-learn/scikit-learn/issues/32175 | [
"Bug",
"module:ensemble"
] | Unexpected behavior of tree splits: missing values handling is buggy?
### Describe the bug
When adding a sanity check in the best split function (`_splitter.pxy`), I get a bunch of tests failing. This probably reveal a bug in missing values handling.
### Steps/Code to Reproduce
Add those lines after [this line](htt... | 32,175 |
https://github.com/scikit-learn/scikit-learn/issues/32175 | [
"Bug",
"module:ensemble"
] | Unexpected behavior of tree splits: missing values handling is buggy?
### Describe the bug
When adding a sanity check in the best split function (`_splitter.pxy`), I get a bunch of tests failing. This probably reveal a bug in missing values handling.
### Steps/Code to Reproduce
Add those lines after [this line](htt... | 32,175 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32174 | [
"Easy",
"Documentation"
] | Fix rendering of D2 Brier score section in User Guide
_This is an issue for a contributor who has worked with rst and sphinx documentation before, or who wants to spend 10 hours to learn on the task. It is not suitable for ai agents._
The newly added section about **D2 Brier score** (added via #28971) doesn't render ... | 32,174 |
https://github.com/scikit-learn/scikit-learn/issues/32171 | [
"Build / CI",
"Needs Investigation"
] | ⚠️ CI failed on Wheel builder (last failure: Sep 29, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/18085163372)** (Sep 29, 2025)
COMMENT:
All the macos x86 jobs are getting killed after running ~27% of the tests | 32,171 |
https://github.com/scikit-learn/scikit-learn/issues/32171 | [
"Build / CI",
"Needs Investigation"
] | ⚠️ CI failed on Wheel builder (last failure: Sep 29, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/18085163372)** (Sep 29, 2025)
COMMENT:
Looking at the [last succesful log](https://github.com/scikit-learn/scikit-learn/actions/runs/17633425598/job/50105196... | 32,171 |
https://github.com/scikit-learn/scikit-learn/issues/32171 | [
"Build / CI",
"Needs Investigation"
] | ⚠️ CI failed on Wheel builder (last failure: Sep 29, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/18085163372)** (Sep 29, 2025)
COMMENT:
Requiring `scipy<1.16.2` fixes the hang, I opened #32273 as a temporary work-around until we investigate more and repo... | 32,171 |
https://github.com/scikit-learn/scikit-learn/issues/32168 | [
"Bug",
"Needs Decision"
] | Unexpected behavior when combining FunctionTransformer and pandas DataFrames
### Describe the bug
When using a pandas `DataFrame` with the `FunctionTransformer(func=..., feature_names_out='one-to-one')` on data with the wrong column order, the column names are mixed. While this behavior might be derived from the docu... | 32,168 |
https://github.com/scikit-learn/scikit-learn/issues/32168 | [
"Bug",
"Needs Decision"
] | Unexpected behavior when combining FunctionTransformer and pandas DataFrames
### Describe the bug
When using a pandas `DataFrame` with the `FunctionTransformer(func=..., feature_names_out='one-to-one')` on data with the wrong column order, the column names are mixed. While this behavior might be derived from the docu... | 32,168 |
https://github.com/scikit-learn/scikit-learn/issues/32168 | [
"Bug",
"Needs Decision"
] | Unexpected behavior when combining FunctionTransformer and pandas DataFrames
### Describe the bug
When using a pandas `DataFrame` with the `FunctionTransformer(func=..., feature_names_out='one-to-one')` on data with the wrong column order, the column names are mixed. While this behavior might be derived from the docu... | 32,168 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32167 | [
"Bug",
"module:inspection"
] | `permutation_importance` errors with `polars` dataframe and `ColumnTransformer`
### Describe the bug
Having polars dataframe with `ColumnTransformer` lets `permutation_importance` crash.
Maybe related to the warnings reported in this issue https://github.com/scikit-learn/scikit-learn/issues/28488. But here, `permuat... | 32,167 |
https://github.com/scikit-learn/scikit-learn/issues/32162 | [
"API",
"help wanted",
"Needs Benchmarks"
] | Evaluate multi-threading `LogisticRegression`
When https://github.com/scikit-learn/scikit-learn/pull/32073 is merged, `n_jobs` will have no effect in `LogisticRegression` so should be deprecated.
It's also a good time to consider enabling multi-threading to compute the logistic regression path here https://github.com... | 32,162 |
https://github.com/scikit-learn/scikit-learn/issues/32162 | [
"API",
"help wanted",
"Needs Benchmarks"
] | Evaluate multi-threading `LogisticRegression`
When https://github.com/scikit-learn/scikit-learn/pull/32073 is merged, `n_jobs` will have no effect in `LogisticRegression` so should be deprecated.
It's also a good time to consider enabling multi-threading to compute the logistic regression path here https://github.com... | 32,162 |
https://github.com/scikit-learn/scikit-learn/issues/32162 | [
"API",
"help wanted",
"Needs Benchmarks"
] | Evaluate multi-threading `LogisticRegression`
When https://github.com/scikit-learn/scikit-learn/pull/32073 is merged, `n_jobs` will have no effect in `LogisticRegression` so should be deprecated.
It's also a good time to consider enabling multi-threading to compute the logistic regression path here https://github.com... | 32,162 |
https://github.com/scikit-learn/scikit-learn/issues/32162 | [
"API",
"help wanted",
"Needs Benchmarks"
] | Evaluate multi-threading `LogisticRegression`
When https://github.com/scikit-learn/scikit-learn/pull/32073 is merged, `n_jobs` will have no effect in `LogisticRegression` so should be deprecated.
It's also a good time to consider enabling multi-threading to compute the logistic regression path here https://github.com... | 32,162 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32161 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add an option to OrdinalEncoder to sort encoding by decreasing frequencies
### Describe the workflow you want to enable
At the moment, when no categories are provided, the default ordering of categories for a given categorical column is based on the lexicographical ordering of the categories observed in the training ... | 32,161 |
https://github.com/scikit-learn/scikit-learn/issues/32155 | [
"Bug"
] | ColumnTransformer.fit() fails on polars.DataFrame: AttributeError: 'DataFrame' object has no attribute 'size'
### Describe the bug
Fitting a sklearn.compose.ColumnTransformer with *more than one* transformer on a polars.DataFrame yields the error:
> AttributeError: 'DataFrame' object has no attribute 'size'
* Fitti... | 32,155 |
https://github.com/scikit-learn/scikit-learn/issues/32155 | [
"Bug"
] | ColumnTransformer.fit() fails on polars.DataFrame: AttributeError: 'DataFrame' object has no attribute 'size'
### Describe the bug
Fitting a sklearn.compose.ColumnTransformer with *more than one* transformer on a polars.DataFrame yields the error:
> AttributeError: 'DataFrame' object has no attribute 'size'
* Fitti... | 32,155 |
https://github.com/scikit-learn/scikit-learn/issues/32154 | [
"Bug",
"Needs Info",
"Needs Reproducible Code"
] | GridSearchCV cannot obtain the optimal parameter results.
### Describe the bug
When I used GridSearchCV to obtain the optimal parameters, I found that different cross-validation folds produced inconsistent results.
### Steps/Code to Reproduce
```python3
X_train, X_test, y_train, y_test = train_test_split(x, y, test... | 32,154 |
https://github.com/scikit-learn/scikit-learn/issues/32154 | [
"Bug",
"Needs Info",
"Needs Reproducible Code"
] | GridSearchCV cannot obtain the optimal parameter results.
### Describe the bug
When I used GridSearchCV to obtain the optimal parameters, I found that different cross-validation folds produced inconsistent results.
### Steps/Code to Reproduce
```python3
X_train, X_test, y_train, y_test = train_test_split(x, y, test... | 32,154 |
https://github.com/scikit-learn/scikit-learn/issues/32153 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Sep 11, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=79876&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Sep 11, 2025)
- Test Collection Failure
COMMENT:
##... | 32,153 |
https://github.com/scikit-learn/scikit-learn/issues/32152 | [
"New Feature"
] | Allow `categories` parameter in `OrdinalEncoder` to accept a dict of column names → categories
### Describe the workflow you want to enable
Currently, the `categories` parameter in `OrdinalEncoder` only accepts:
- `"auto"`, or
- a list of lists, where the position of each list corresponds to the order of columns in ... | 32,152 |
https://github.com/scikit-learn/scikit-learn/issues/32152 | [
"New Feature"
] | Allow `categories` parameter in `OrdinalEncoder` to accept a dict of column names → categories
### Describe the workflow you want to enable
Currently, the `categories` parameter in `OrdinalEncoder` only accepts:
- `"auto"`, or
- a list of lists, where the position of each list corresponds to the order of columns in ... | 32,152 |
https://github.com/scikit-learn/scikit-learn/issues/32152 | [
"New Feature"
] | Allow `categories` parameter in `OrdinalEncoder` to accept a dict of column names → categories
### Describe the workflow you want to enable
Currently, the `categories` parameter in `OrdinalEncoder` only accepts:
- `"auto"`, or
- a list of lists, where the position of each list corresponds to the order of columns in ... | 32,152 |
https://github.com/scikit-learn/scikit-learn/issues/32150 | [
"Documentation",
"Needs Triage"
] | Latex not correctly rendered for ridge
### Describe the issue linked to the documentation
Description
In the online API reference, formula is displayed as:
`||y - Xw||^2_2 + alpha * ||w||^2_2`
it should instead look like
<img width="299" height="77" alt="Image" src="https://github.com/user-attachments/assets/f2f772... | 32,150 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32146 | [
"Documentation",
"frontend"
] | Unexpected behavior of the HTML repr of meta-estimators
Here's a list of some unexpected behaviors of the HTML repr of meta-estimators
- `Pipeline` doesn't display its named steps
<img width="164" height="95" alt="Image" src="https://github.com/user-attachments/assets/c368188d-544f-4bb1-bfeb-d76490f5146a" />
Thi... | 32,146 |
https://github.com/scikit-learn/scikit-learn/issues/32145 | [
"Build / CI",
"Blocker"
] | New min dependencies broke the doc build
We didn't run a dock build before merging https://github.com/scikit-learn/scikit-learn/pull/31656 which bumps min dependencies, and it broke the CI, see https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/70723/workflows/2064650c-116a-405d-9b1d-9cd469b8804f/jobs... | 32,145 |
https://github.com/scikit-learn/scikit-learn/issues/32145 | [
"Build / CI",
"Blocker"
] | New min dependencies broke the doc build
We didn't run a dock build before merging https://github.com/scikit-learn/scikit-learn/pull/31656 which bumps min dependencies, and it broke the CI, see https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/70723/workflows/2064650c-116a-405d-9b1d-9cd469b8804f/jobs... | 32,145 |
https://github.com/scikit-learn/scikit-learn/issues/32125 | [
"module:tree"
] | Tree module - Broken test: test fails when changing random_state=0 to =1
In the test `tree/tests/test_tree.py::test_regression_tree_missing_values_toy`, in this [line](https://github.com/scikit-learn/scikit-learn/blob/0033630cd35d5945ea8c1b5beff6efe9583cd523/sklearn/tree/tests/test_tree.py#L2695C1-L2696C1):
```
t... | 32,125 |
https://github.com/scikit-learn/scikit-learn/issues/32125 | [
"module:tree"
] | Tree module - Broken test: test fails when changing random_state=0 to =1
In the test `tree/tests/test_tree.py::test_regression_tree_missing_values_toy`, in this [line](https://github.com/scikit-learn/scikit-learn/blob/0033630cd35d5945ea8c1b5beff6efe9583cd523/sklearn/tree/tests/test_tree.py#L2695C1-L2696C1):
```
t... | 32,125 |
https://github.com/scikit-learn/scikit-learn/issues/32125 | [
"module:tree"
] | Tree module - Broken test: test fails when changing random_state=0 to =1
In the test `tree/tests/test_tree.py::test_regression_tree_missing_values_toy`, in this [line](https://github.com/scikit-learn/scikit-learn/blob/0033630cd35d5945ea8c1b5beff6efe9583cd523/sklearn/tree/tests/test_tree.py#L2695C1-L2696C1):
```
t... | 32,125 |
https://github.com/scikit-learn/scikit-learn/issues/32125 | [
"module:tree"
] | Tree module - Broken test: test fails when changing random_state=0 to =1
In the test `tree/tests/test_tree.py::test_regression_tree_missing_values_toy`, in this [line](https://github.com/scikit-learn/scikit-learn/blob/0033630cd35d5945ea8c1b5beff6efe9583cd523/sklearn/tree/tests/test_tree.py#L2695C1-L2696C1):
```
t... | 32,125 |
https://github.com/scikit-learn/scikit-learn/issues/32122 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Sep 07, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/17523435997)** (Sep 07, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/17539093743) on Sep 08... | 32,122 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32121 | [
"Documentation",
"Needs Triage"
] | "Improve documentation on FeatureUnion behavior with polars DataFrame output causing duplicate column names"
### Describe the issue linked to the documentation
The current documentation for FeatureUnion describes its behavior with pandas DataFrames but does not mention how it behaves when used with polars DataFrames.... | 32,121 |
https://github.com/scikit-learn/scikit-learn/issues/32115 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | [ENH] Adding KModes and KPrototypes clustering algorithms
### Describe the workflow you want to enable
Currently, scikit-learn users working with datasets that contain categorical features (e.g., `country`, `profession`, `product_type`) face a significant hurdle. The standard practice is to use one-hot encoding befor... | 32,115 |
https://github.com/scikit-learn/scikit-learn/issues/32115 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | [ENH] Adding KModes and KPrototypes clustering algorithms
### Describe the workflow you want to enable
Currently, scikit-learn users working with datasets that contain categorical features (e.g., `country`, `profession`, `product_type`) face a significant hurdle. The standard practice is to use one-hot encoding befor... | 32,115 |
https://github.com/scikit-learn/scikit-learn/issues/32115 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | [ENH] Adding KModes and KPrototypes clustering algorithms
### Describe the workflow you want to enable
Currently, scikit-learn users working with datasets that contain categorical features (e.g., `country`, `profession`, `product_type`) face a significant hurdle. The standard practice is to use one-hot encoding befor... | 32,115 |
https://github.com/scikit-learn/scikit-learn/issues/32115 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | [ENH] Adding KModes and KPrototypes clustering algorithms
### Describe the workflow you want to enable
Currently, scikit-learn users working with datasets that contain categorical features (e.g., `country`, `profession`, `product_type`) face a significant hurdle. The standard practice is to use one-hot encoding befor... | 32,115 |
https://github.com/scikit-learn/scikit-learn/issues/32115 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | [ENH] Adding KModes and KPrototypes clustering algorithms
### Describe the workflow you want to enable
Currently, scikit-learn users working with datasets that contain categorical features (e.g., `country`, `profession`, `product_type`) face a significant hurdle. The standard practice is to use one-hot encoding befor... | 32,115 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.