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https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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0.010383888147771358,
-... |
https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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0.010383888147771358,
-... |
https://github.com/scikit-learn/scikit-learn/issues/32686 | [
"Documentation"
] | Clarify docs for allowable KDTree metrics
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html currently states, for the metrics kwarg: "Metric to use for distance computation. Default is “minkowski”, which results in the standard Euclidean... | 32,686 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32680 | [
"RFC"
] | RFC: Should we remove the 'good first issue' label?
Related to other discussions on low effort PRs #31679 and #32207
Should we remove the 'good first issue' label?
Note that we mention this label in the "[Issues for new contributors](https://github.com/numpy/numpy/pull/21355)" section of the docs. It is also mention... | 32,680 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32678 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Nov 09, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=82220&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Nov 09, 2025)
- Test Collection Failure
COMMENT:
An... | 32,678 | [
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https://github.com/scikit-learn/scikit-learn/issues/32675 | [
"New Feature"
] | Feature Request: Add explained variance ratios for X and Y to `PLSRegression`
### Describe the workflow you want to enable
Currently, `sklearn.cross_decomposition.PLSRegression` does not expose any measure of explained variance for either the predictor (`X`) or response (`Y`) spaces.
In different disciplines (such a... | 32,675 | [
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https://github.com/scikit-learn/scikit-learn/issues/32675 | [
"New Feature"
] | Feature Request: Add explained variance ratios for X and Y to `PLSRegression`
### Describe the workflow you want to enable
Currently, `sklearn.cross_decomposition.PLSRegression` does not expose any measure of explained variance for either the predictor (`X`) or response (`Y`) spaces.
In different disciplines (such a... | 32,675 | [
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https://github.com/scikit-learn/scikit-learn/issues/32671 | [
"Documentation"
] | load_iris example does not match text
### Describe the issue linked to the documentation
In https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html the example is introduced as "Let’s say you are interested in the samples 10, 25, and 50, and want to know their class name."
However, the dat... | 32,671 | [
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https://github.com/scikit-learn/scikit-learn/issues/32671 | [
"Documentation"
] | load_iris example does not match text
### Describe the issue linked to the documentation
In https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html the example is introduced as "Let’s say you are interested in the samples 10, 25, and 50, and want to know their class name."
However, the dat... | 32,671 | [
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https://github.com/scikit-learn/scikit-learn/issues/32671 | [
"Documentation"
] | load_iris example does not match text
### Describe the issue linked to the documentation
In https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html the example is introduced as "Let’s say you are interested in the samples 10, 25, and 50, and want to know their class name."
However, the dat... | 32,671 | [
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https://github.com/scikit-learn/scikit-learn/issues/32665 | [
"Needs Reproducible Code"
] | StandardScaler raises unclear error with empty feature names
### Describe the bug
When using StandardScaler with a pandas DataFrame that has empty strings as feature names (which can happen with certain data processing pipelines), the scaler raises a confusing error message that doesn't clearly indicate the root caus... | 32,665 | [
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https://github.com/scikit-learn/scikit-learn/issues/32665 | [
"Needs Reproducible Code"
] | StandardScaler raises unclear error with empty feature names
### Describe the bug
When using StandardScaler with a pandas DataFrame that has empty strings as feature names (which can happen with certain data processing pipelines), the scaler raises a confusing error message that doesn't clearly indicate the root caus... | 32,665 | [
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https://github.com/scikit-learn/scikit-learn/issues/32665 | [
"Needs Reproducible Code"
] | StandardScaler raises unclear error with empty feature names
### Describe the bug
When using StandardScaler with a pandas DataFrame that has empty strings as feature names (which can happen with certain data processing pipelines), the scaler raises a confusing error message that doesn't clearly indicate the root caus... | 32,665 | [
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https://github.com/scikit-learn/scikit-learn/issues/32665 | [
"Needs Reproducible Code"
] | StandardScaler raises unclear error with empty feature names
### Describe the bug
When using StandardScaler with a pandas DataFrame that has empty strings as feature names (which can happen with certain data processing pipelines), the scaler raises a confusing error message that doesn't clearly indicate the root caus... | 32,665 | [
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https://github.com/scikit-learn/scikit-learn/issues/32661 | [
"Documentation"
] | DOC Create triage guide in maintainer documentation
As part of talking about triaging at the Scientific Python Summit I realised that we have quite some cumulative experience with triaging. There are also different approaches to things.
As a result I think it would be useful if we create a triaging guide as part of o... | 32,661 | [
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https://github.com/scikit-learn/scikit-learn/issues/32661 | [
"Documentation"
] | DOC Create triage guide in maintainer documentation
As part of talking about triaging at the Scientific Python Summit I realised that we have quite some cumulative experience with triaging. There are also different approaches to things.
As a result I think it would be useful if we create a triaging guide as part of o... | 32,661 | [
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https://github.com/scikit-learn/scikit-learn/issues/32661 | [
"Documentation"
] | DOC Create triage guide in maintainer documentation
As part of talking about triaging at the Scientific Python Summit I realised that we have quite some cumulative experience with triaging. There are also different approaches to things.
As a result I think it would be useful if we create a triaging guide as part of o... | 32,661 | [
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https://github.com/scikit-learn/scikit-learn/issues/32661 | [
"Documentation"
] | DOC Create triage guide in maintainer documentation
As part of talking about triaging at the Scientific Python Summit I realised that we have quite some cumulative experience with triaging. There are also different approaches to things.
As a result I think it would be useful if we create a triaging guide as part of o... | 32,661 | [
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https://github.com/scikit-learn/scikit-learn/issues/32661 | [
"Documentation"
] | DOC Create triage guide in maintainer documentation
As part of talking about triaging at the Scientific Python Summit I realised that we have quite some cumulative experience with triaging. There are also different approaches to things.
As a result I think it would be useful if we create a triaging guide as part of o... | 32,661 | [
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https://github.com/scikit-learn/scikit-learn/issues/32655 | [
"Documentation"
] | Reduce “Can I take this?” by front-loading /take rule
## Summary
New contributors frequently comment “Can I take this?” on issues without the *help wanted* label. This creates notification noise and does not trigger CI assignment. The current contributing docs lead with “apply the ‘help wanted’ label to find issues… t... | 32,655 | [
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https://github.com/scikit-learn/scikit-learn/issues/32655 | [
"Documentation"
] | Reduce “Can I take this?” by front-loading /take rule
## Summary
New contributors frequently comment “Can I take this?” on issues without the *help wanted* label. This creates notification noise and does not trigger CI assignment. The current contributing docs lead with “apply the ‘help wanted’ label to find issues… t... | 32,655 | [
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https://github.com/scikit-learn/scikit-learn/issues/32630 | [
"Needs Info",
"Closing candidate"
] | Add BlockingTimeSeriesSplit
<img width="612" height="352" alt="Image" src="https://github.com/user-attachments/assets/1d0bdf46-31c6-4531-83d3-ddf33618b5b2" />
COMMENT:
Sorry but right now it looks like you haven't done the minimum amount of work for this issue to be useful.
Please add more details, in particular:
- ... | 32,630 | [
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https://github.com/scikit-learn/scikit-learn/issues/32627 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Nov 01, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81941&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Nov 01, 2025)
- Test Collection Failure
COMMENT:
I ... | 32,627 | [
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https://github.com/scikit-learn/scikit-learn/issues/32627 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Nov 01, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81941&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Nov 01, 2025)
- Test Collection Failure
COMMENT:
##... | 32,627 | [
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https://github.com/scikit-learn/scikit-learn/issues/32627 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Nov 01, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81941&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Nov 01, 2025)
- Test Collection Failure
COMMENT:
It... | 32,627 | [
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https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
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https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
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0.09082058072090149,
0.012673874385654926,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
0.0031298419926315546,
0.05612250044941902,
-0.043914783746004105,
0.05242304503917694,
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0.0022059520706534386,
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0.04847382754087448,
0.02301722951233387,
-0.020367128774523735,
0.09082058072090149,
0.012673874385654926,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
0.0031298419926315546,
0.05612250044941902,
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0.05242304503917694,
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0.02301722951233387,
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0.09082058072090149,
0.012673874385654926,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
0.0031298419926315546,
0.05612250044941902,
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0.05242304503917694,
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0.02301722951233387,
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0.09082058072090149,
0.012673874385654926,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32621 | [
"New Feature",
"Needs Info"
] | ENH: Add overlay_dx_score metric for regression evaluation
### Describe the workflow you want to enable
## Current Problem
When evaluating regression models, especially for time series forecasting, existing metrics (MAE, RMSE, R²) don't capture how well predictions align visually with actual values across different ... | 32,621 | [
-0.08039820194244385,
0.0031298419926315546,
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0.09082058072090149,
0.012673874385654926,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32614 | [
"Needs Info"
] | StackingRegressor is incompatible with TimeSeriesSplit as cv parameter, raising "ValueError: cross_val_predict only works for partitions"
https://github.com/scikit-learn/scikit-learn/blob/0f9b6a6c0bbbcbbb7f509016fa1006facfe1ba8d/sklearn/model_selection/_validation.py#L1185
### `scikit-learn` version and operating sys... | 32,614 | [
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0.029157271... |
https://github.com/scikit-learn/scikit-learn/issues/32614 | [
"Needs Info"
] | StackingRegressor is incompatible with TimeSeriesSplit as cv parameter, raising "ValueError: cross_val_predict only works for partitions"
https://github.com/scikit-learn/scikit-learn/blob/0f9b6a6c0bbbcbbb7f509016fa1006facfe1ba8d/sklearn/model_selection/_validation.py#L1185
### `scikit-learn` version and operating sys... | 32,614 | [
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0.029157271... |
https://github.com/scikit-learn/scikit-learn/issues/32614 | [
"Needs Info"
] | StackingRegressor is incompatible with TimeSeriesSplit as cv parameter, raising "ValueError: cross_val_predict only works for partitions"
https://github.com/scikit-learn/scikit-learn/blob/0f9b6a6c0bbbcbbb7f509016fa1006facfe1ba8d/sklearn/model_selection/_validation.py#L1185
### `scikit-learn` version and operating sys... | 32,614 | [
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0.029157271... |
https://github.com/scikit-learn/scikit-learn/issues/32611 | [
"High Priority",
"Array API"
] | Array API support for LogisticRegression with LBFGS
Even if `scipy.optimize` does not support array API yet, we can probably work around it to perform the computation of the gradient using the input data array namespace and convert the gradient values to numpy prior to feeding them back to the solver at each iteration... | 32,611 | [
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https://github.com/scikit-learn/scikit-learn/issues/32611 | [
"High Priority",
"Array API"
] | Array API support for LogisticRegression with LBFGS
Even if `scipy.optimize` does not support array API yet, we can probably work around it to perform the computation of the gradient using the input data array namespace and convert the gradient values to numpy prior to feeding them back to the solver at each iteration... | 32,611 | [
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https://github.com/scikit-learn/scikit-learn/issues/32611 | [
"High Priority",
"Array API"
] | Array API support for LogisticRegression with LBFGS
Even if `scipy.optimize` does not support array API yet, we can probably work around it to perform the computation of the gradient using the input data array namespace and convert the gradient values to numpy prior to feeding them back to the solver at each iteration... | 32,611 | [
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https://github.com/scikit-learn/scikit-learn/issues/32611 | [
"High Priority",
"Array API"
] | Array API support for LogisticRegression with LBFGS
Even if `scipy.optimize` does not support array API yet, we can probably work around it to perform the computation of the gradient using the input data array namespace and convert the gradient values to numpy prior to feeding them back to the solver at each iteration... | 32,611 | [
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https://github.com/scikit-learn/scikit-learn/issues/32611 | [
"High Priority",
"Array API"
] | Array API support for LogisticRegression with LBFGS
Even if `scipy.optimize` does not support array API yet, we can probably work around it to perform the computation of the gradient using the input data array namespace and convert the gradient values to numpy prior to feeding them back to the solver at each iteration... | 32,611 | [
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-0.00510587... |
https://github.com/scikit-learn/scikit-learn/issues/32608 | [
"Bug"
] | Failed installation with uv.
### Describe the bug
Trying to install scikit-learn using uv pip install scikit-learn. Python 3.14t
Got an error while building
### Steps/Code to Reproduce
Use python 3.14t
Run uv pip install scikit-learn
### Expected Results
scikit-learn successfully installed
### Actual Results
... | 32,608 | [
0.04362444207072258,
-0.05476509779691696,
-0.015843018889427185,
-0.052353762090206146,
0.046313703060150146,
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0.007968002930283546,
0.025369267910718918,
-0.00007573657785542309,
0.034729260951280594,
0.060725919902324677,
0.002406143583357334,
... |
https://github.com/scikit-learn/scikit-learn/issues/32608 | [
"Bug"
] | Failed installation with uv.
### Describe the bug
Trying to install scikit-learn using uv pip install scikit-learn. Python 3.14t
Got an error while building
### Steps/Code to Reproduce
Use python 3.14t
Run uv pip install scikit-learn
### Expected Results
scikit-learn successfully installed
### Actual Results
... | 32,608 | [
0.04362444207072258,
-0.05476509779691696,
-0.015843018889427185,
-0.052353762090206146,
0.046313703060150146,
0.04337650537490845,
-0.00031189428409561515,
0.007968002930283546,
0.025369267910718918,
-0.00007573657785542309,
0.034729260951280594,
0.060725919902324677,
0.002406143583357334,
... |
https://github.com/scikit-learn/scikit-learn/issues/32608 | [
"Bug"
] | Failed installation with uv.
### Describe the bug
Trying to install scikit-learn using uv pip install scikit-learn. Python 3.14t
Got an error while building
### Steps/Code to Reproduce
Use python 3.14t
Run uv pip install scikit-learn
### Expected Results
scikit-learn successfully installed
### Actual Results
... | 32,608 | [
0.04362444207072258,
-0.05476509779691696,
-0.015843018889427185,
-0.052353762090206146,
0.046313703060150146,
0.04337650537490845,
-0.00031189428409561515,
0.007968002930283546,
0.025369267910718918,
-0.00007573657785542309,
0.034729260951280594,
0.060725919902324677,
0.002406143583357334,
... |
https://github.com/scikit-learn/scikit-learn/issues/32608 | [
"Bug"
] | Failed installation with uv.
### Describe the bug
Trying to install scikit-learn using uv pip install scikit-learn. Python 3.14t
Got an error while building
### Steps/Code to Reproduce
Use python 3.14t
Run uv pip install scikit-learn
### Expected Results
scikit-learn successfully installed
### Actual Results
... | 32,608 | [
0.04362444207072258,
-0.05476509779691696,
-0.015843018889427185,
-0.052353762090206146,
0.046313703060150146,
0.04337650537490845,
-0.00031189428409561515,
0.007968002930283546,
0.025369267910718918,
-0.00007573657785542309,
0.034729260951280594,
0.060725919902324677,
0.002406143583357334,
... |
https://github.com/scikit-learn/scikit-learn/issues/32599 | [
"Build / CI"
] | CI wheel builder failure on Linux Python 3.11 3.12 and 3.13 with `BrokenProcessPool`
last successful on October 22 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/18704782622/job/53340764569)
first failing on October 23 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/187369... | 32,599 | [
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0.028757862746715546,
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0.02275700494647026,
0.06947629153728485,
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0.048408981412649155,
0.0733136236667633,
-0.031041491776704788,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/32599 | [
"Build / CI"
] | CI wheel builder failure on Linux Python 3.11 3.12 and 3.13 with `BrokenProcessPool`
last successful on October 22 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/18704782622/job/53340764569)
first failing on October 23 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/187369... | 32,599 | [
-0.010222841054201126,
0.028757862746715546,
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0.012332386337220669,
0.03146998584270477,
0.02275700494647026,
0.06947629153728485,
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0.048408981412649155,
0.0733136236667633,
-0.031041491776704788,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/32599 | [
"Build / CI"
] | CI wheel builder failure on Linux Python 3.11 3.12 and 3.13 with `BrokenProcessPool`
last successful on October 22 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/18704782622/job/53340764569)
first failing on October 23 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/187369... | 32,599 | [
-0.010222841054201126,
0.028757862746715546,
-0.017499366775155067,
-0.02707376517355442,
0.012332386337220669,
0.03146998584270477,
0.02275700494647026,
0.06947629153728485,
-0.04018392786383629,
-0.020045220851898193,
0.048408981412649155,
0.0733136236667633,
-0.031041491776704788,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/32599 | [
"Build / CI"
] | CI wheel builder failure on Linux Python 3.11 3.12 and 3.13 with `BrokenProcessPool`
last successful on October 22 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/18704782622/job/53340764569)
first failing on October 23 [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/187369... | 32,599 | [
-0.010222841054201126,
0.028757862746715546,
-0.017499366775155067,
-0.02707376517355442,
0.012332386337220669,
0.03146998584270477,
0.02275700494647026,
0.06947629153728485,
-0.04018392786383629,
-0.020045220851898193,
0.048408981412649155,
0.0733136236667633,
-0.031041491776704788,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.017640748992562294,
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-0.05514884740114212,
0.028338473290205002,
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0.024859115481376648,
0.04577024653553963,
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0.018929373472929,
0.05270969122648239,
-0.027044419199228287,
0.0495... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.02126273140311241,
0.011440190486609936,
-0.02572474628686905,
-0.04383561387658119,
0.0308925099670887,
0.016884610056877136,
0.01645800471305847,
0.02843550778925419,
0.007248301059007645,
-0.023431284353137016,
0.04702238738536835,
0.06171557307243347,
-0.02318418212234974,
-0.0040400... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.01272644754499197,
-0.01497514359652996,
-0.036062587052583694,
-0.07781132310628891,
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0.0084352632984519,
0.031201526522636414,
0.0278074499219656,
-0.020538577809929848,
0.023223249... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.004383925814181566,
-0.01210746355354786,
-0.03290444612503052,
-0.08020631968975067,
0.03255097195506096,
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0.023917051032185555,
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0.02372586727142334,
0.02842671237885952,
0.05200311541557312,
-0.025017566978931427,
0.0598107... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
-0.0008502979180775583,
-0.00896496418863535,
-0.03722298517823219,
-0.06524576991796494,
0.006166374776512384,
0.016188504174351692,
0.012325581163167953,
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0.008917662315070629,
0.04142983630299568,
0.037129513919353485,
-0.03166228532791138,
0.04... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.0036190731916576624,
0.001488298294134438,
-0.032690923660993576,
-0.08779996633529663,
0.03125504404306412,
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-0.025264086201786995,
0.059... |
https://github.com/scikit-learn/scikit-learn/issues/32591 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 30, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81864&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 30, 2025)
Unable to find junit file.... | 32,591 | [
0.004962830804288387,
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-0.03048316203057766,
-0.08446900546550751,
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0.03103974461555481,
0.026491474360227585,
0.043863967061042786,
-0.021172676235437393,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/32590 | [
"New Feature"
] | Add shrinkage support with `solver="svd"` in `LinearDiscriminantAnalysis` and `QuadraticDiscriminantAnalysis`
### Describe the workflow you want to enable
Both Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) can be solved with the SVD solver. The SVD solver does not explicitly compute the... | 32,590 | [
-0.04437905177474022,
0.0335129089653492,
0.0019794420804828405,
0.04197736456990242,
0.09308461099863052,
-0.02995588630437851,
0.029185712337493896,
0.05985642969608307,
0.03565943241119385,
0.01909715309739113,
0.01400989294052124,
0.0611913800239563,
0.002663146937265992,
-0.0066147884... |
https://github.com/scikit-learn/scikit-learn/issues/32590 | [
"New Feature"
] | Add shrinkage support with `solver="svd"` in `LinearDiscriminantAnalysis` and `QuadraticDiscriminantAnalysis`
### Describe the workflow you want to enable
Both Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) can be solved with the SVD solver. The SVD solver does not explicitly compute the... | 32,590 | [
-0.04437905177474022,
0.0335129089653492,
0.0019794420804828405,
0.04197736456990242,
0.09308461099863052,
-0.02995588630437851,
0.029185712337493896,
0.05985642969608307,
0.03565943241119385,
0.01909715309739113,
0.01400989294052124,
0.0611913800239563,
0.002663146937265992,
-0.0066147884... |
https://github.com/scikit-learn/scikit-learn/issues/32590 | [
"New Feature"
] | Add shrinkage support with `solver="svd"` in `LinearDiscriminantAnalysis` and `QuadraticDiscriminantAnalysis`
### Describe the workflow you want to enable
Both Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) can be solved with the SVD solver. The SVD solver does not explicitly compute the... | 32,590 | [
-0.04437905177474022,
0.0335129089653492,
0.0019794420804828405,
0.04197736456990242,
0.09308461099863052,
-0.02995588630437851,
0.029185712337493896,
0.05985642969608307,
0.03565943241119385,
0.01909715309739113,
0.01400989294052124,
0.0611913800239563,
0.002663146937265992,
-0.0066147884... |
https://github.com/scikit-learn/scikit-learn/issues/32590 | [
"New Feature"
] | Add shrinkage support with `solver="svd"` in `LinearDiscriminantAnalysis` and `QuadraticDiscriminantAnalysis`
### Describe the workflow you want to enable
Both Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) can be solved with the SVD solver. The SVD solver does not explicitly compute the... | 32,590 | [
-0.04437905177474022,
0.0335129089653492,
0.0019794420804828405,
0.04197736456990242,
0.09308461099863052,
-0.02995588630437851,
0.029185712337493896,
0.05985642969608307,
0.03565943241119385,
0.01909715309739113,
0.01400989294052124,
0.0611913800239563,
0.002663146937265992,
-0.0066147884... |
https://github.com/scikit-learn/scikit-learn/issues/32589 | [
"Bug",
"module:preprocessing"
] | OneHotEncoder handle_unknown='warn' behaves like 'ignore' instead of 'infrequent_if_exist'
### Describe the bug
According to the [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html), `handle_unknown='warn'` should behave like `handle_unknown='infrequent_if_exist'... | 32,589 | [
-0.0019955213647335768,
0.022286592051386833,
0.013170299120247364,
0.0013413757551461458,
0.10136913508176804,
0.056880127638578415,
0.026209713891148567,
0.05410173162817955,
-0.01935264840722084,
-0.0031027598306536674,
0.08222604542970657,
-0.0007383344927802682,
-0.004996558651328087,
... |
https://github.com/scikit-learn/scikit-learn/issues/32589 | [
"Bug",
"module:preprocessing"
] | OneHotEncoder handle_unknown='warn' behaves like 'ignore' instead of 'infrequent_if_exist'
### Describe the bug
According to the [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html), `handle_unknown='warn'` should behave like `handle_unknown='infrequent_if_exist'... | 32,589 | [
-0.0019955213647335768,
0.022286592051386833,
0.013170299120247364,
0.0013413757551461458,
0.10136913508176804,
0.056880127638578415,
0.026209713891148567,
0.05410173162817955,
-0.01935264840722084,
-0.0031027598306536674,
0.08222604542970657,
-0.0007383344927802682,
-0.004996558651328087,
... |
https://github.com/scikit-learn/scikit-learn/issues/32585 | [
"Bug"
] | BUG: `QuantileTransformer(ignore_implicit_zeros=True)` sub-sampling behavior is incorrect
### Describe the bug
`QuantileTransformer(ignore_implicit_zeros=True)` sub-sampling behavior is incorrect leading to very incorrect results for very sparse matrices and/or small sub-sample size.
More over, this behavior is "disc... | 32,585 | [
-0.0014252078253775835,
0.006504790857434273,
-0.0005274974391795695,
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0.010463978163897991,
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0.004789082799106836,
-0.004838995169848204,
0.022688042372465134,
0.037782907485961914,
-0.0013530950527638197,... |
https://github.com/scikit-learn/scikit-learn/issues/32570 | [
"New Feature",
"Needs Triage"
] | Add Geometric Mixture Classifier (GMC)
### Describe the workflow you want to enable
The Geometric Mixture Classifier (GMC) enables interpretable, efficient classification on multimodal datasets where traditional linear models struggle. Many real-world classification problems involve classes that occupy multiple disjo... | 32,570 | [
-0.009423034265637398,
0.08305390924215317,
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0.016335684806108475,
0.00723922997713089,
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0.028492799028754234,
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0.011008300818502903,
0.002768628066405654,
-0.0202422346919775,
0.065... |
https://github.com/scikit-learn/scikit-learn/issues/32570 | [
"New Feature",
"Needs Triage"
] | Add Geometric Mixture Classifier (GMC)
### Describe the workflow you want to enable
The Geometric Mixture Classifier (GMC) enables interpretable, efficient classification on multimodal datasets where traditional linear models struggle. Many real-world classification problems involve classes that occupy multiple disjo... | 32,570 | [
-0.009423034265637398,
0.08305390924215317,
-0.008694812655448914,
0.016335684806108475,
0.00723922997713089,
0.02142306976020336,
0.028492799028754234,
0.010975845158100128,
-0.01453891396522522,
-0.019683191552758217,
0.011008300818502903,
0.002768628066405654,
-0.0202422346919775,
0.065... |
https://github.com/scikit-learn/scikit-learn/issues/32570 | [
"New Feature",
"Needs Triage"
] | Add Geometric Mixture Classifier (GMC)
### Describe the workflow you want to enable
The Geometric Mixture Classifier (GMC) enables interpretable, efficient classification on multimodal datasets where traditional linear models struggle. Many real-world classification problems involve classes that occupy multiple disjo... | 32,570 | [
-0.009423034265637398,
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32562 | [
"Build / CI"
] | Dev website is not being updated because of .github.io size
CircleCI deploy has been failing for a few days: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn?branch=main
Looks like our .github.io is above the size quota and we probably need to squash the commits into one (hoping this is enough) as ... | 32,562 | [
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https://github.com/scikit-learn/scikit-learn/issues/32561 | [
"Documentation",
"Hard"
] | DOC: Add user guide entry for sample weights
> [!WARNING]
> Note to potential contributors: this is not a good issue to work on, please don't comment "can I work on it" or you may be banned from the repo.
> There is NO action that needs to be taken for this issue atm - there are probably some questions around weights ... | 32,561 | [
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https://github.com/scikit-learn/scikit-learn/issues/32561 | [
"Documentation",
"Hard"
] | DOC: Add user guide entry for sample weights
> [!WARNING]
> Note to potential contributors: this is not a good issue to work on, please don't comment "can I work on it" or you may be banned from the repo.
> There is NO action that needs to be taken for this issue atm - there are probably some questions around weights ... | 32,561 | [
0.02879399247467518,
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0.007051093969494104,
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0.03828832507133484,
0.008989189751446247,
-0.00556... |
https://github.com/scikit-learn/scikit-learn/issues/32561 | [
"Documentation",
"Hard"
] | DOC: Add user guide entry for sample weights
> [!WARNING]
> Note to potential contributors: this is not a good issue to work on, please don't comment "can I work on it" or you may be banned from the repo.
> There is NO action that needs to be taken for this issue atm - there are probably some questions around weights ... | 32,561 | [
0.02879399247467518,
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0.03828832507133484,
0.008989189751446247,
-0.00556... |
https://github.com/scikit-learn/scikit-learn/issues/32561 | [
"Documentation",
"Hard"
] | DOC: Add user guide entry for sample weights
> [!WARNING]
> Note to potential contributors: this is not a good issue to work on, please don't comment "can I work on it" or you may be banned from the repo.
> There is NO action that needs to be taken for this issue atm - there are probably some questions around weights ... | 32,561 | [
0.02879399247467518,
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0.007051093969494104,
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0.03828832507133484,
0.008989189751446247,
-0.00556... |
https://github.com/scikit-learn/scikit-learn/issues/32561 | [
"Documentation",
"Hard"
] | DOC: Add user guide entry for sample weights
> [!WARNING]
> Note to potential contributors: this is not a good issue to work on, please don't comment "can I work on it" or you may be banned from the repo.
> There is NO action that needs to be taken for this issue atm - there are probably some questions around weights ... | 32,561 | [
0.02879399247467518,
-0.009496493265032768,
0.007051093969494104,
-0.04203327000141144,
0.010909609496593475,
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https://github.com/scikit-learn/scikit-learn/issues/32560 | [
"Bug",
"module:discriminant_analysis",
"Needs Investigation"
] | Warning raised in tests for `QuadraticDiscriminantAnalysis`
### Describe the bug
I wonder whether the behavior of `QuadraticDiscriminatAnalysis` producing the Warning in the test below is as intended, or a problem to be fixed.
The test `test_qda_regularization` checks some of QDA's handling of rank deficient matric... | 32,560 | [
0.005315945018082857,
0.07458511739969254,
0.02569868229329586,
0.04221780225634575,
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0.010018082335591316,
0.027724113315343857,
-0.01017357874661684,
-0.004492706153541803,
-0.0651... |
https://github.com/scikit-learn/scikit-learn/issues/32560 | [
"Bug",
"module:discriminant_analysis",
"Needs Investigation"
] | Warning raised in tests for `QuadraticDiscriminantAnalysis`
### Describe the bug
I wonder whether the behavior of `QuadraticDiscriminatAnalysis` producing the Warning in the test below is as intended, or a problem to be fixed.
The test `test_qda_regularization` checks some of QDA's handling of rank deficient matric... | 32,560 | [
0.005315945018082857,
0.07458511739969254,
0.02569868229329586,
0.04221780225634575,
0.10828406363725662,
-0.011964921839535236,
0.025353634729981422,
0.045727767050266266,
0.03153998777270317,
0.010018082335591316,
0.027724113315343857,
-0.01017357874661684,
-0.004492706153541803,
-0.0651... |
https://github.com/scikit-learn/scikit-learn/issues/32560 | [
"Bug",
"module:discriminant_analysis",
"Needs Investigation"
] | Warning raised in tests for `QuadraticDiscriminantAnalysis`
### Describe the bug
I wonder whether the behavior of `QuadraticDiscriminatAnalysis` producing the Warning in the test below is as intended, or a problem to be fixed.
The test `test_qda_regularization` checks some of QDA's handling of rank deficient matric... | 32,560 | [
0.005315945018082857,
0.07458511739969254,
0.02569868229329586,
0.04221780225634575,
0.10828406363725662,
-0.011964921839535236,
0.025353634729981422,
0.045727767050266266,
0.03153998777270317,
0.010018082335591316,
0.027724113315343857,
-0.01017357874661684,
-0.004492706153541803,
-0.0651... |
https://github.com/scikit-learn/scikit-learn/issues/32560 | [
"Bug",
"module:discriminant_analysis",
"Needs Investigation"
] | Warning raised in tests for `QuadraticDiscriminantAnalysis`
### Describe the bug
I wonder whether the behavior of `QuadraticDiscriminatAnalysis` producing the Warning in the test below is as intended, or a problem to be fixed.
The test `test_qda_regularization` checks some of QDA's handling of rank deficient matric... | 32,560 | [
0.005315945018082857,
0.07458511739969254,
0.02569868229329586,
0.04221780225634575,
0.10828406363725662,
-0.011964921839535236,
0.025353634729981422,
0.045727767050266266,
0.03153998777270317,
0.010018082335591316,
0.027724113315343857,
-0.01017357874661684,
-0.004492706153541803,
-0.0651... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
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0.05150856077671051,
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0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
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