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/31020 | [
"Needs Triage"
] | ⚠️ CI failed on Check sdist (last failure: Mar 20, 2025) ⚠️
**CI is still failing on [Check sdist](https://github.com/scikit-learn/scikit-learn/actions/runs/13959330746)** (Mar 20, 2025)
COMMENT:
Need to bump from 3.9 to 3.10 here:
https://github.com/scikit-learn/scikit-learn/blob/5cdbbf15e3fade7cc2462ef66dc4ea0f37f3... | 31,020 |
https://github.com/scikit-learn/scikit-learn/issues/31019 | [
"New Feature",
"Needs Triage"
] | Allow column names to pass through when fitting `narwhals` dataframes
### Describe the workflow you want to enable
Currently when fitting with a `narwhals` DataFrame, the feature names do not pass through because it does not implement a `__dataframe__` method.
Example:
```python
import narwhals as nw
import pandas ... | 31,019 |
https://github.com/scikit-learn/scikit-learn/issues/31019 | [
"New Feature",
"Needs Triage"
] | Allow column names to pass through when fitting `narwhals` dataframes
### Describe the workflow you want to enable
Currently when fitting with a `narwhals` DataFrame, the feature names do not pass through because it does not implement a `__dataframe__` method.
Example:
```python
import narwhals as nw
import pandas ... | 31,019 |
https://github.com/scikit-learn/scikit-learn/issues/31019 | [
"New Feature",
"Needs Triage"
] | Allow column names to pass through when fitting `narwhals` dataframes
### Describe the workflow you want to enable
Currently when fitting with a `narwhals` DataFrame, the feature names do not pass through because it does not implement a `__dataframe__` method.
Example:
```python
import narwhals as nw
import pandas ... | 31,019 |
https://github.com/scikit-learn/scikit-learn/issues/31019 | [
"New Feature",
"Needs Triage"
] | Allow column names to pass through when fitting `narwhals` dataframes
### Describe the workflow you want to enable
Currently when fitting with a `narwhals` DataFrame, the feature names do not pass through because it does not implement a `__dataframe__` method.
Example:
```python
import narwhals as nw
import pandas ... | 31,019 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31010 | [
"API",
"RFC"
] | RFC Make all conditional/optional attributes raise a meaningful error when missing
Related: https://github.com/scikit-learn/scikit-learn/issues/10525, https://github.com/scikit-learn/scikit-learn/issues/30999
Right now accessing attributes which are added to the instances when a method is called (like `coef_` in `fit... | 31,010 |
https://github.com/scikit-learn/scikit-learn/issues/31007 | [
"Documentation"
] | load_iris documentation target_names name wrong type
### Describe the issue linked to the documentation
In the documentation of load_iris (https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html) the type of target_names is list but in code it's a numpyarray.
**Version Checked**
Version: 1.... | 31,007 |
https://github.com/scikit-learn/scikit-learn/issues/31007 | [
"Documentation"
] | load_iris documentation target_names name wrong type
### Describe the issue linked to the documentation
In the documentation of load_iris (https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html) the type of target_names is list but in code it's a numpyarray.
**Version Checked**
Version: 1.... | 31,007 |
https://github.com/scikit-learn/scikit-learn/issues/30999 | [
"Documentation",
"Needs Triage"
] | Attributes decleared in document and does not exist in ConfusionMatrixDisplay class
### Describe the issue linked to the documentation
In the class `ConfusionMatrixDisplay` in the file `sklearn/metrics/_plot/confusion_matrix.py`
There are extra attributes that does not exist in the class
Attributes:
```
im_: matplot... | 30,999 |
https://github.com/scikit-learn/scikit-learn/issues/30999 | [
"Documentation",
"Needs Triage"
] | Attributes decleared in document and does not exist in ConfusionMatrixDisplay class
### Describe the issue linked to the documentation
In the class `ConfusionMatrixDisplay` in the file `sklearn/metrics/_plot/confusion_matrix.py`
There are extra attributes that does not exist in the class
Attributes:
```
im_: matplot... | 30,999 |
https://github.com/scikit-learn/scikit-learn/issues/30992 | [
"New Feature"
] | UID-based Stable Train-Test Split
### Describe the workflow you want to enable
During model development, it's common to perform train-test splits multiple times on a dataset. This may occur during development iterations, when the dataset evolves over time, or when working with different data subsets. However, the cur... | 30,992 |
https://github.com/scikit-learn/scikit-learn/issues/30992 | [
"New Feature"
] | UID-based Stable Train-Test Split
### Describe the workflow you want to enable
During model development, it's common to perform train-test splits multiple times on a dataset. This may occur during development iterations, when the dataset evolves over time, or when working with different data subsets. However, the cur... | 30,992 |
https://github.com/scikit-learn/scikit-learn/issues/30992 | [
"New Feature"
] | UID-based Stable Train-Test Split
### Describe the workflow you want to enable
During model development, it's common to perform train-test splits multiple times on a dataset. This may occur during development iterations, when the dataset evolves over time, or when working with different data subsets. However, the cur... | 30,992 |
https://github.com/scikit-learn/scikit-learn/issues/30992 | [
"New Feature"
] | UID-based Stable Train-Test Split
### Describe the workflow you want to enable
During model development, it's common to perform train-test splits multiple times on a dataset. This may occur during development iterations, when the dataset evolves over time, or when working with different data subsets. However, the cur... | 30,992 |
https://github.com/scikit-learn/scikit-learn/issues/30992 | [
"New Feature"
] | UID-based Stable Train-Test Split
### Describe the workflow you want to enable
During model development, it's common to perform train-test splits multiple times on a dataset. This may occur during development iterations, when the dataset evolves over time, or when working with different data subsets. However, the cur... | 30,992 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30991 | [
"Bug"
] | Halving searches crash when using a PredefinedSplit as cv
### Describe the bug
In some cases, it might be necessary to use a predefined split with an explicit training and testing set instead of cross-validation (for example if the data has a specific distribution of properties that should be the same in a training a... | 30,991 |
https://github.com/scikit-learn/scikit-learn/issues/30988 | [
"New Feature",
"Needs Decision - Close",
"Needs Investigation"
] | Make the halving searches scoring parameter also accept single value containers
Currently, the HalvingRandomSearchCV and the HalvingGridSearchCV support only a single scoring metric. Because of that, only a single string or callable is accepted as scoring parameter.
However, this causes it to not accept a single metri... | 30,988 |
https://github.com/scikit-learn/scikit-learn/issues/30988 | [
"New Feature",
"Needs Decision - Close",
"Needs Investigation"
] | Make the halving searches scoring parameter also accept single value containers
Currently, the HalvingRandomSearchCV and the HalvingGridSearchCV support only a single scoring metric. Because of that, only a single string or callable is accepted as scoring parameter.
However, this causes it to not accept a single metri... | 30,988 |
https://github.com/scikit-learn/scikit-learn/issues/30988 | [
"New Feature",
"Needs Decision - Close",
"Needs Investigation"
] | Make the halving searches scoring parameter also accept single value containers
Currently, the HalvingRandomSearchCV and the HalvingGridSearchCV support only a single scoring metric. Because of that, only a single string or callable is accepted as scoring parameter.
However, this causes it to not accept a single metri... | 30,988 |
https://github.com/scikit-learn/scikit-learn/issues/30988 | [
"New Feature",
"Needs Decision - Close",
"Needs Investigation"
] | Make the halving searches scoring parameter also accept single value containers
Currently, the HalvingRandomSearchCV and the HalvingGridSearchCV support only a single scoring metric. Because of that, only a single string or callable is accepted as scoring parameter.
However, this causes it to not accept a single metri... | 30,988 |
https://github.com/scikit-learn/scikit-learn/issues/30988 | [
"New Feature",
"Needs Decision - Close",
"Needs Investigation"
] | Make the halving searches scoring parameter also accept single value containers
Currently, the HalvingRandomSearchCV and the HalvingGridSearchCV support only a single scoring metric. Because of that, only a single string or callable is accepted as scoring parameter.
However, this causes it to not accept a single metri... | 30,988 |
https://github.com/scikit-learn/scikit-learn/issues/30986 | [
"New Feature"
] | enh: support aggregation/bagging functions other than mean
### Describe the workflow you want to enable
Currently KNNRegressor, BaggingRegressor and ForestRegressor only support mean
https://github.com/scikit-learn/scikit-learn/blob/98ed9dc73a86f5f11781a0e21f24c8f47979ec67/sklearn/neighbors/_regression.py#L254-L262
... | 30,986 |
https://github.com/scikit-learn/scikit-learn/issues/30986 | [
"New Feature"
] | enh: support aggregation/bagging functions other than mean
### Describe the workflow you want to enable
Currently KNNRegressor, BaggingRegressor and ForestRegressor only support mean
https://github.com/scikit-learn/scikit-learn/blob/98ed9dc73a86f5f11781a0e21f24c8f47979ec67/sklearn/neighbors/_regression.py#L254-L262
... | 30,986 |
https://github.com/scikit-learn/scikit-learn/issues/30986 | [
"New Feature"
] | enh: support aggregation/bagging functions other than mean
### Describe the workflow you want to enable
Currently KNNRegressor, BaggingRegressor and ForestRegressor only support mean
https://github.com/scikit-learn/scikit-learn/blob/98ed9dc73a86f5f11781a0e21f24c8f47979ec67/sklearn/neighbors/_regression.py#L254-L262
... | 30,986 |
https://github.com/scikit-learn/scikit-learn/issues/30986 | [
"New Feature"
] | enh: support aggregation/bagging functions other than mean
### Describe the workflow you want to enable
Currently KNNRegressor, BaggingRegressor and ForestRegressor only support mean
https://github.com/scikit-learn/scikit-learn/blob/98ed9dc73a86f5f11781a0e21f24c8f47979ec67/sklearn/neighbors/_regression.py#L254-L262
... | 30,986 |
https://github.com/scikit-learn/scikit-learn/issues/30984 | [
"Bug",
"Needs Triage"
] | The estimators_ attribute can no longer be accessed for the AdaBoostClassifier class
### Describe the bug
The [documentation of the AdaBoostClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html) reads that there is a `estimators_` attribute. However, if I try to access... | 30,984 |
https://github.com/scikit-learn/scikit-learn/issues/30984 | [
"Bug",
"Needs Triage"
] | The estimators_ attribute can no longer be accessed for the AdaBoostClassifier class
### Describe the bug
The [documentation of the AdaBoostClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html) reads that there is a `estimators_` attribute. However, if I try to access... | 30,984 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30983 | [
"Bug",
"Needs Investigation"
] | Error in `ColumnTransformer` when `x` is a pandas dataframe with `int` feature names
### Describe the bug
Hello, I've encountered an unexpected behavior when using `ColumnTransformer` with input `x` being a pandas dataframe with column names having int dtype. I give an example below, and an example use case can be fo... | 30,983 |
https://github.com/scikit-learn/scikit-learn/issues/30981 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Mar 12, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13803264391)** (Mar 12, 2025)
COMMENT:
Seems like an issue with Cython and free-threaded. We are using the Cython nightly wheel so this may have been introduced recent... | 30,981 |
https://github.com/scikit-learn/scikit-learn/issues/30981 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Mar 12, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13803264391)** (Mar 12, 2025)
COMMENT:
I can not reproduce this locally for some reason, let's wait and see if it happens again tomorrow ...
It may be a scipy dev whe... | 30,981 |
https://github.com/scikit-learn/scikit-learn/issues/30981 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Mar 12, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13803264391)** (Mar 12, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/13826650719) on Mar 13... | 30,981 |
https://github.com/scikit-learn/scikit-learn/issues/30973 | [
"Needs Triage"
] | Support for PPC64LE in Scikit-Learn CI
### **Proposed new feature or change:**
Hi Team,
We would like to upstream support for the Power (PPC64LE) architecture in scikit-learn by adding a new CI job in wheels.yml. This will enable continuous integration (CI) support for PPC64LE using a GitHub Actions self-hosted runne... | 30,973 |
https://github.com/scikit-learn/scikit-learn/issues/30973 | [
"Needs Triage"
] | Support for PPC64LE in Scikit-Learn CI
### **Proposed new feature or change:**
Hi Team,
We would like to upstream support for the Power (PPC64LE) architecture in scikit-learn by adding a new CI job in wheels.yml. This will enable continuous integration (CI) support for PPC64LE using a GitHub Actions self-hosted runne... | 30,973 |
https://github.com/scikit-learn/scikit-learn/issues/30973 | [
"Needs Triage"
] | Support for PPC64LE in Scikit-Learn CI
### **Proposed new feature or change:**
Hi Team,
We would like to upstream support for the Power (PPC64LE) architecture in scikit-learn by adding a new CI job in wheels.yml. This will enable continuous integration (CI) support for PPC64LE using a GitHub Actions self-hosted runne... | 30,973 |
https://github.com/scikit-learn/scikit-learn/issues/30972 | [
"New Feature",
"Needs Triage"
] | auto clusters selection of n_clusters with elbow method
### Describe the workflow you want to enable
In, sklearn.cluster the KMeans algorithm.
the feature suggestion is to add the elbow method cluster selection
with n_cluster="auto"
calculates the best no of cluster based on mse
add trains the models based on the r... | 30,972 |
https://github.com/scikit-learn/scikit-learn/issues/30972 | [
"New Feature",
"Needs Triage"
] | auto clusters selection of n_clusters with elbow method
### Describe the workflow you want to enable
In, sklearn.cluster the KMeans algorithm.
the feature suggestion is to add the elbow method cluster selection
with n_cluster="auto"
calculates the best no of cluster based on mse
add trains the models based on the r... | 30,972 |
https://github.com/scikit-learn/scikit-learn/issues/30970 | [
"New Feature",
"module:model_selection",
"module:multiclass"
] | Allow for multiclass cost matrix in FixedThresholdClassifier and TunedThresholdClassifierCV
### Describe the workflow you want to enable
With #26120, we got `FixedThresholdClassifier` and `TunedThresholdClassifierCV` but only for binary classification. The next logical step would be to extend it to the multiclass set... | 30,970 |
https://github.com/scikit-learn/scikit-learn/issues/30970 | [
"New Feature",
"module:model_selection",
"module:multiclass"
] | Allow for multiclass cost matrix in FixedThresholdClassifier and TunedThresholdClassifierCV
### Describe the workflow you want to enable
With #26120, we got `FixedThresholdClassifier` and `TunedThresholdClassifierCV` but only for binary classification. The next logical step would be to extend it to the multiclass set... | 30,970 |
https://github.com/scikit-learn/scikit-learn/issues/30969 | [
"Bug",
"Needs Investigation"
] | KNN tie breakers changing based on the subset of the train
### Describe the bug
According to https://scikit-learn.org/stable/modules/neighbors.html#unsupervised-nearest-neighbors:
**Regarding the Nearest Neighbors algorithms, if two neighbors k and k+1
have identical distances but different labels, the result will... | 30,969 |
https://github.com/scikit-learn/scikit-learn/issues/30969 | [
"Bug",
"Needs Investigation"
] | KNN tie breakers changing based on the subset of the train
### Describe the bug
According to https://scikit-learn.org/stable/modules/neighbors.html#unsupervised-nearest-neighbors:
**Regarding the Nearest Neighbors algorithms, if two neighbors k and k+1
have identical distances but different labels, the result will... | 30,969 |
https://github.com/scikit-learn/scikit-learn/issues/30969 | [
"Bug",
"Needs Investigation"
] | KNN tie breakers changing based on the subset of the train
### Describe the bug
According to https://scikit-learn.org/stable/modules/neighbors.html#unsupervised-nearest-neighbors:
**Regarding the Nearest Neighbors algorithms, if two neighbors k and k+1
have identical distances but different labels, the result will... | 30,969 |
https://github.com/scikit-learn/scikit-learn/issues/30964 | [
"Documentation",
"Metadata Routing"
] | DOC better visibility in navigation of metadata routing
The section about [metadata_routing](https://scikit-learn.org/stable/metadata_routing.html) in the [user guide](https://scikit-learn.org/stable/user_guide.html) is hard to find, in particular because there is no entry in the navigation bar, see
<img width="1104"... | 30,964 |
https://github.com/scikit-learn/scikit-learn/issues/30964 | [
"Documentation",
"Metadata Routing"
] | DOC better visibility in navigation of metadata routing
The section about [metadata_routing](https://scikit-learn.org/stable/metadata_routing.html) in the [user guide](https://scikit-learn.org/stable/user_guide.html) is hard to find, in particular because there is no entry in the navigation bar, see
<img width="1104"... | 30,964 |
https://github.com/scikit-learn/scikit-learn/issues/30961 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_free_threaded (last failure: Mar 10, 2025) ⚠️
**CI is still failing on [Linux_free_threaded.pylatest_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74605&view=logs&j=c10228e9-6cf7-5c29-593f-d74f893ca1bd)** (Mar 10, 2025)
- test_multicl... | 30,961 |
https://github.com/scikit-learn/scikit-learn/issues/30960 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Mar 10, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74605&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Mar 10, 2025)
- test_multiclass_plot_max... | 30,960 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30958 | [
"New Feature"
] | Request: base class with HTML repr but without being an 'Estimator'
### Describe the workflow you want to enable
Creating third-party packages that offer objects that are meant to be passed to estimators, but which aren't estimators themselves.
### Describe your proposed solution
Would be nice if there could be som... | 30,958 |
https://github.com/scikit-learn/scikit-learn/issues/30957 | [
"Documentation",
"help wanted"
] | Docs duplication between attributes and properties
### Describe the issue linked to the documentation
Docs for some classes mention some fitted-model attributes twice: first as 'attribute', then as 'property'.
For example, class SVC here:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
Shows ... | 30,957 |
https://github.com/scikit-learn/scikit-learn/issues/30954 | [
"Bug",
"Needs Investigation"
] | QDA is not reproducible
### Describe the bug
We are running QDA with default hyperparameters on the same dataset, on 2 different machines (linux). We find that the results change significantly when ran on a different machine. For more details, please see this Gist:
[https://gist.github.com/tomviering/43519a1f2a0e0ffe... | 30,954 |
https://github.com/scikit-learn/scikit-learn/issues/30954 | [
"Bug",
"Needs Investigation"
] | QDA is not reproducible
### Describe the bug
We are running QDA with default hyperparameters on the same dataset, on 2 different machines (linux). We find that the results change significantly when ran on a different machine. For more details, please see this Gist:
[https://gist.github.com/tomviering/43519a1f2a0e0ffe... | 30,954 |
https://github.com/scikit-learn/scikit-learn/issues/30954 | [
"Bug",
"Needs Investigation"
] | QDA is not reproducible
### Describe the bug
We are running QDA with default hyperparameters on the same dataset, on 2 different machines (linux). We find that the results change significantly when ran on a different machine. For more details, please see this Gist:
[https://gist.github.com/tomviering/43519a1f2a0e0ffe... | 30,954 |
https://github.com/scikit-learn/scikit-learn/issues/30954 | [
"Bug",
"Needs Investigation"
] | QDA is not reproducible
### Describe the bug
We are running QDA with default hyperparameters on the same dataset, on 2 different machines (linux). We find that the results change significantly when ran on a different machine. For more details, please see this Gist:
[https://gist.github.com/tomviering/43519a1f2a0e0ffe... | 30,954 |
https://github.com/scikit-learn/scikit-learn/issues/30952 | [
"Performance",
"module:preprocessing"
] | Improve TargetEncoder predict time for single rows and many categories
As reported [here](https://tiago.rio.br/work/willbank/account/patching-scikit-learn-improve-api-performance/), `TargetEncoder.transform` is optimized for large `n_samples`. But in deployment mode, it might be single rows that matter. Combined with ... | 30,952 |
https://github.com/scikit-learn/scikit-learn/issues/30952 | [
"Performance",
"module:preprocessing"
] | Improve TargetEncoder predict time for single rows and many categories
As reported [here](https://tiago.rio.br/work/willbank/account/patching-scikit-learn-improve-api-performance/), `TargetEncoder.transform` is optimized for large `n_samples`. But in deployment mode, it might be single rows that matter. Combined with ... | 30,952 |
https://github.com/scikit-learn/scikit-learn/issues/30950 | [
"Bug"
] | Potential Problem in the Computation of Adjusted Mutual Info Score
### Describe the bug
It seems to me that for clusters of size 2 and 4, the AMI yields unexpected results of 0 instead of 1, if all items belong to different clusters.
### Steps/Code to Reproduce
Sample Code to Reproduce:
```python
>>> from sklea... | 30,950 |
https://github.com/scikit-learn/scikit-learn/issues/30950 | [
"Bug"
] | Potential Problem in the Computation of Adjusted Mutual Info Score
### Describe the bug
It seems to me that for clusters of size 2 and 4, the AMI yields unexpected results of 0 instead of 1, if all items belong to different clusters.
### Steps/Code to Reproduce
Sample Code to Reproduce:
```python
>>> from sklea... | 30,950 |
https://github.com/scikit-learn/scikit-learn/issues/30950 | [
"Bug"
] | Potential Problem in the Computation of Adjusted Mutual Info Score
### Describe the bug
It seems to me that for clusters of size 2 and 4, the AMI yields unexpected results of 0 instead of 1, if all items belong to different clusters.
### Steps/Code to Reproduce
Sample Code to Reproduce:
```python
>>> from sklea... | 30,950 |
https://github.com/scikit-learn/scikit-learn/issues/30950 | [
"Bug"
] | Potential Problem in the Computation of Adjusted Mutual Info Score
### Describe the bug
It seems to me that for clusters of size 2 and 4, the AMI yields unexpected results of 0 instead of 1, if all items belong to different clusters.
### Steps/Code to Reproduce
Sample Code to Reproduce:
```python
>>> from sklea... | 30,950 |
https://github.com/scikit-learn/scikit-learn/issues/30941 | [
"Needs Reproducible Code"
] | RANSAC randomly raises UndefinedMetricWarning
RANSAC randomly raises undefined R2 warning for non-default `min_samples` (say 0.1) even if X is sufficiently large.
```
UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning)
```
It seems after applyi... | 30,941 |
https://github.com/scikit-learn/scikit-learn/issues/30941 | [
"Needs Reproducible Code"
] | RANSAC randomly raises UndefinedMetricWarning
RANSAC randomly raises undefined R2 warning for non-default `min_samples` (say 0.1) even if X is sufficiently large.
```
UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning)
```
It seems after applyi... | 30,941 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30938 | [
"Bug",
"Regression"
] | Partial dependence broken in sklearn 1.6.1 when grid has only two values
### Describe the bug
When our input feature has two possible values (and that the grid built in that function hence has two values), partial_dependence will raise an error `ValueError: cannot reshape array of size 1 into shape (2)`
What I suspe... | 30,938 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30937 | [
"Bug",
"Metadata Routing"
] | Pipeline score asks to explicitly request sample_weight
### Describe the bug
When using `Pipeline` with metadata routing enabled, an error is thrown unless we explicitly request `sample_weight` for the `score` method (see example below). But `Pipeline` is just a router (for both the `fit` and `score` methods) and no... | 30,937 |
https://github.com/scikit-learn/scikit-learn/issues/30936 | [
"Bug"
] | SelectFromModel does not work when ElasticNetCV has multiple l1 ratios
### Describe the bug
Using `SelectFromModel` with the automatic `ElasticNetCV` does not work if the `l1_ratio` is estimated from the data, i.e., if the user provides a list of floats.
### Steps/Code to Reproduce
```py
from sklearn.datasets impo... | 30,936 |
https://github.com/scikit-learn/scikit-learn/issues/30936 | [
"Bug"
] | SelectFromModel does not work when ElasticNetCV has multiple l1 ratios
### Describe the bug
Using `SelectFromModel` with the automatic `ElasticNetCV` does not work if the `l1_ratio` is estimated from the data, i.e., if the user provides a list of floats.
### Steps/Code to Reproduce
```py
from sklearn.datasets impo... | 30,936 |
https://github.com/scikit-learn/scikit-learn/issues/30935 | [
"Bug"
] | The default token pattern in CountVectorizer breaks Indic sentences into non-sensical tokens
### Describe the bug
The default `token_pattern` in `CountVectorizer` is `r"(?u)\b\w\w+\b"` which tokenizes Indic texts in a wrong way - breaks whitespace tokenized words into multiple chunks and even omits several valid char... | 30,935 |
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