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/31923 | [
"Bug",
"Needs Triage"
] | 404 when fetching datasets with sklearn.datasets.fetch_openml
### Describe the bug
My Azure DevOps pipeline started failing to fetch data from OpenML with 404 as of 9 August. My original line in a Jupyter notebook uses `fetch_openml(name='SPECT', version=1, parser='auto')`; but I've not been able to download any othe... | 31,923 |
https://github.com/scikit-learn/scikit-learn/issues/31923 | [
"Bug",
"Needs Triage"
] | 404 when fetching datasets with sklearn.datasets.fetch_openml
### Describe the bug
My Azure DevOps pipeline started failing to fetch data from OpenML with 404 as of 9 August. My original line in a Jupyter notebook uses `fetch_openml(name='SPECT', version=1, parser='auto')`; but I've not been able to download any othe... | 31,923 |
https://github.com/scikit-learn/scikit-learn/issues/31923 | [
"Bug",
"Needs Triage"
] | 404 when fetching datasets with sklearn.datasets.fetch_openml
### Describe the bug
My Azure DevOps pipeline started failing to fetch data from OpenML with 404 as of 9 August. My original line in a Jupyter notebook uses `fetch_openml(name='SPECT', version=1, parser='auto')`; but I've not been able to download any othe... | 31,923 |
https://github.com/scikit-learn/scikit-learn/issues/31923 | [
"Bug",
"Needs Triage"
] | 404 when fetching datasets with sklearn.datasets.fetch_openml
### Describe the bug
My Azure DevOps pipeline started failing to fetch data from OpenML with 404 as of 9 August. My original line in a Jupyter notebook uses `fetch_openml(name='SPECT', version=1, parser='auto')`; but I've not been able to download any othe... | 31,923 |
https://github.com/scikit-learn/scikit-learn/issues/31923 | [
"Bug",
"Needs Triage"
] | 404 when fetching datasets with sklearn.datasets.fetch_openml
### Describe the bug
My Azure DevOps pipeline started failing to fetch data from OpenML with 404 as of 9 August. My original line in a Jupyter notebook uses `fetch_openml(name='SPECT', version=1, parser='auto')`; but I've not been able to download any othe... | 31,923 |
https://github.com/scikit-learn/scikit-learn/issues/31913 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Aug 10, 2025) ⚠️
**CI failed on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=78962&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Aug 10, 2025)
- test_dtype_preprocess_data[73-True... | 31,913 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31912 | [
"RFC",
"Developer API"
] | Stable extender contract via `fit` / `_fit` resp `predict` / `_predict` separation
### Describe the workflow you want to enable
tl;dr, I am suggestion to refactor `scikit-learn` internals to a layer separation with boilerplate between `fit` and `_fit` resp `predict` and `_predict` methods, to make extender interfaces... | 31,912 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31907 | [
"Bug",
"module:cluster"
] | HDBSCAN modifies input precomputed distance matrix
### Describe the bug
When using `sklearn.cluster.HDBSCAN` with `metric="precomputed"`, the input distance matrix is modified after calling `fit_predict()`. The original `hdbscan` package (v0.8.40) works correctly.
### Steps/Code to Reproduce
```py
import numpy as ... | 31,907 |
https://github.com/scikit-learn/scikit-learn/issues/31904 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Aug 17, 2025) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=79126&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Aug 17, 2025)
- Test Collection Failure
C... | 31,904 |
https://github.com/scikit-learn/scikit-learn/issues/31904 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Aug 17, 2025) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=79126&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Aug 17, 2025)
- Test Collection Failure
C... | 31,904 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31901 | [
"New Feature",
"Needs Triage"
] | QuantileTransformer is incredibly slow
### Describe the workflow you want to enable
This is a feature request to improve performance of the QuantileTransformer. It takes ~60 minutes to fit, uses a huge amount of memory when transforming large non-sparse dataframes with 30M+ rows and 500 columns. It also does not supp... | 31,901 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31899 | [
"New Feature"
] | Add `covariance_estimator` to `QuadraticDiscriminantAnalysis`?
### Describe the workflow you want to enable
`LinearDiscriminantAnalysis` has an optional `covariance_estimator` parameter, while the similar `QuadraticDiscriminantAnalysis` does not. QDA is even more sensitive than LDA to covariance estimation.
Would it... | 31,899 |
https://github.com/scikit-learn/scikit-learn/issues/31896 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Aug 08, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/16821604494)** (Aug 08, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/16821604494) on Aug 08... | 31,896 |
https://github.com/scikit-learn/scikit-learn/issues/31894 | [
"Bug"
] | TunedThreasholdClassiffierCV not understanding `func(y_pred, y_true, ...)` as a valid `scoring`
This code
```py
from sklearn.model_selection import TunedThresholdClassifierCV
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_classification
import sklearn
import numpy as np
sklearn... | 31,894 |
https://github.com/scikit-learn/scikit-learn/issues/31894 | [
"Bug"
] | TunedThreasholdClassiffierCV not understanding `func(y_pred, y_true, ...)` as a valid `scoring`
This code
```py
from sklearn.model_selection import TunedThresholdClassifierCV
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_classification
import sklearn
import numpy as np
sklearn... | 31,894 |
https://github.com/scikit-learn/scikit-learn/issues/31894 | [
"Bug"
] | TunedThreasholdClassiffierCV not understanding `func(y_pred, y_true, ...)` as a valid `scoring`
This code
```py
from sklearn.model_selection import TunedThresholdClassifierCV
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_classification
import sklearn
import numpy as np
sklearn... | 31,894 |
https://github.com/scikit-learn/scikit-learn/issues/31894 | [
"Bug"
] | TunedThreasholdClassiffierCV not understanding `func(y_pred, y_true, ...)` as a valid `scoring`
This code
```py
from sklearn.model_selection import TunedThresholdClassifierCV
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_classification
import sklearn
import numpy as np
sklearn... | 31,894 |
https://github.com/scikit-learn/scikit-learn/issues/31894 | [
"Bug"
] | TunedThreasholdClassiffierCV not understanding `func(y_pred, y_true, ...)` as a valid `scoring`
This code
```py
from sklearn.model_selection import TunedThresholdClassifierCV
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_classification
import sklearn
import numpy as np
sklearn... | 31,894 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31889 | [
"Bug",
"API",
"module:metrics"
] | We don't support `func(estimator, X, y, ...)` across the board as a scorer
Our documentation [here](https://scikit-learn.org/stable/modules/model_evaluation.html#custom-scorer-objects-from-scratch) states a callable with a `(estimator, X, y)` is a valid scorer. However, it isn't.
In https://github.com/scikit-learn/sc... | 31,889 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31885 | [
"Bug",
"Moderate"
] | `SVC(probability=True)` is not thread-safe
This was discovered while running:
```
pytest -v --parallel-threads=4 --iterations=2 sklearn/svm/tests/test_sparse.py
```
before including the fix pushed to #30041 under https://github.com/scikit-learn/scikit-learn/pull/30041/commits/bce2b4eb7d5ab49cf758f98c667e86243883d1d... | 31,885 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31884 | [
"Bug"
] | pairwise_distances_argmin_min / ArgKMin64 is not thread-safe
### Describe the bug
Problem found while test investigating failures found in #30041. I crafted a minimal reproducer below. It might be caused by a race condition (corruption) of shared intermediate buffers used in OpenMP threads.
Some remarks:
- the prob... | 31,884 |
https://github.com/scikit-learn/scikit-learn/issues/31883 | [
"Bug"
] | Fitting different instances of `LinearSVR` is not thread-safe
### Describe the bug
Found while working on #30041.
See the reproducer below. Fitting `LinearSVR` probably relies on a shared global state in the C++ code and that introduces a race condition when fitting several models concurrently in different threads. ... | 31,883 |
https://github.com/scikit-learn/scikit-learn/issues/31883 | [
"Bug"
] | Fitting different instances of `LinearSVR` is not thread-safe
### Describe the bug
Found while working on #30041.
See the reproducer below. Fitting `LinearSVR` probably relies on a shared global state in the C++ code and that introduces a race condition when fitting several models concurrently in different threads. ... | 31,883 |
https://github.com/scikit-learn/scikit-learn/issues/31883 | [
"Bug"
] | Fitting different instances of `LinearSVR` is not thread-safe
### Describe the bug
Found while working on #30041.
See the reproducer below. Fitting `LinearSVR` probably relies on a shared global state in the C++ code and that introduces a race condition when fitting several models concurrently in different threads. ... | 31,883 |
https://github.com/scikit-learn/scikit-learn/issues/31872 | [
"Bug"
] | Strange normalization of semi-supervised label propagation in `_build_graph`
The method `_build_graph` on the `LabelPropagation` class in `sklearn/semi_supervised/_label_propagation.py` [(line 455)](https://github.com/scikit-learn/scikit-learn/blob/7d1d96819172e2a7c826f04c68b9d93188cf6a92/sklearn/semi_supervised/_labe... | 31,872 |
https://github.com/scikit-learn/scikit-learn/issues/31872 | [
"Bug"
] | Strange normalization of semi-supervised label propagation in `_build_graph`
The method `_build_graph` on the `LabelPropagation` class in `sklearn/semi_supervised/_label_propagation.py` [(line 455)](https://github.com/scikit-learn/scikit-learn/blob/7d1d96819172e2a7c826f04c68b9d93188cf6a92/sklearn/semi_supervised/_labe... | 31,872 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.