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/30852 | [
"New Feature"
] | Add a progress bar to the randomized and grid search
### Describe the workflow you want to enable
When working on a large hyper-parameter set, setting the verbosity of `{Randomized, Grid}SearchCV` doesn't make the CV more informative. The display should help users estimate their waiting time and take a look at their ... | 30,852 |
https://github.com/scikit-learn/scikit-learn/issues/30852 | [
"New Feature"
] | Add a progress bar to the randomized and grid search
### Describe the workflow you want to enable
When working on a large hyper-parameter set, setting the verbosity of `{Randomized, Grid}SearchCV` doesn't make the CV more informative. The display should help users estimate their waiting time and take a look at their ... | 30,852 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 |
https://github.com/scikit-learn/scikit-learn/issues/30834 | [
"Bug",
"Needs Decision"
] | Bug: AttributeError in `str_escape` when handling `numpy.int64` in `sklearn.tree._export.py` in `/sklearn/tree/_export.py`
### Describe the bug
When exporting a decision tree using `sklearn.tree.export_text()` (or other related functions), an AttributeError occurs if a `numpy.int64` value is passed to `_export.py` i... | 30,834 |
https://github.com/scikit-learn/scikit-learn/issues/30834 | [
"Bug",
"Needs Decision"
] | Bug: AttributeError in `str_escape` when handling `numpy.int64` in `sklearn.tree._export.py` in `/sklearn/tree/_export.py`
### Describe the bug
When exporting a decision tree using `sklearn.tree.export_text()` (or other related functions), an AttributeError occurs if a `numpy.int64` value is passed to `_export.py` i... | 30,834 |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
Odd:
```
info: This container will host the build for cp310-manylinux_aarch64...
+ docker version -f '{{json .}}'
Cannot ... | 30,830 |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
Maybe it will disappear tonight ;) | 30,830 |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/13341472600) on Feb 15... | 30,830 |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 |
https://github.com/scikit-learn/scikit-learn/issues/30812 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Feb 12, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74075&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Feb 12, 2025)
- Test Collection Failure
COMMENT:
HT... | 30,812 |
https://github.com/scikit-learn/scikit-learn/issues/30812 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Feb 12, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74075&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Feb 12, 2025)
- Test Collection Failure
COMMENT:
##... | 30,812 |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 |
https://github.com/scikit-learn/scikit-learn/issues/30801 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 10, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978)** (Feb 10, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/13255448684) on Feb 11... | 30,801 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 |
https://github.com/scikit-learn/scikit-learn/issues/30781 | [
"Bug",
"Needs Triage"
] | `median_absolute_error` fails `test_regression_sample_weight_invariance`
### Describe the bug
`sample_weights` was added to `median_absolute_error` in 0.24 but `median_absolute_error` was not removed from `METRICS_WITHOUT_SAMPLE_WEIGHT`.
(Noticed while trying to fix an unrelated problem in `median_absolute_error`)
... | 30,781 |
https://github.com/scikit-learn/scikit-learn/issues/30774 | [
"Bug",
"Documentation"
] | Deprecation message of check_estimator does not point to the right replacement
See here
https://github.com/scikit-learn/scikit-learn/blob/e25e8e2119ab6c5aa5072b05c0eb60b10aee4b05/sklearn/utils/estimator_checks.py#L836
I believe it should point to `sklearn.utils.estimator_checks.estimator_checks_generator` as suggest... | 30,774 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 |
https://github.com/scikit-learn/scikit-learn/issues/30766 | [
"good first issue"
] | Update project metadata to avoid using the deprecated way to declare the license.
Once https://github.com/scikit-learn/scikit-learn/pull/30746#pullrequestreview-2590397434 is merged, it should be possible to use the new standardized way to declare the licensing information in our `pyproject.toml` file. See:
https://p... | 30,766 |
https://github.com/scikit-learn/scikit-learn/issues/30762 | [
"Bug",
"Documentation"
] | DOC JupyterLite link _query_package() got multiple values for argument 'index_urls'
Clicking on the Jupyterlite button of [this example](https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html#sphx-glr-download-auto-examples-release-highlights-plot-release-highlights-1-5-0-p... | 30,762 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.