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/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31286 | [
"Needs Decision",
"Array API"
] | Clarification of output array type when metrics accept multiclass/multioutput
Clarification of how we should handle array output type when a metric outputs several values (i.e. accepts multiclass or multioutput input).
The issue was summarised succinctly in https://github.com/scikit-learn/scikit-learn/pull/30439#issu... | 31,286 |
https://github.com/scikit-learn/scikit-learn/issues/31284 | [
"Bug",
"cython"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: May 05, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=76198&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (May 05, 2025)
- Test Collection Failure
... | 31,284 |
https://github.com/scikit-learn/scikit-learn/issues/31283 | [
"Build / CI",
"cython"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_free_threaded (last failure: May 05, 2025) ⚠️
**CI is still failing on [Linux_free_threaded.pylatest_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=76198&view=logs&j=c10228e9-6cf7-5c29-593f-d74f893ca1bd)** (May 05, 2025)
- Test Collect... | 31,283 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31274 | [
"API",
"Array API"
] | Automatically move `y_true` to the same device and namespace as `y_pred` for metrics
This is closely linked to #28668 but separate enough to warrant it's own issue (https://github.com/scikit-learn/scikit-learn/issues/28668#issuecomment-2814771519). This is mostly a summary of discussions so far. If we are happy with a... | 31,274 |
https://github.com/scikit-learn/scikit-learn/issues/31269 | [
"Build / CI"
] | ⚠️ CI failed on Wheel builder (last failure: May 05, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14828681637)** (May 05, 2025)
COMMENT:
At the time of writing, #31263 was merged 17 hours ago and this failed 3 hours ago, so the fix was not enough. There i... | 31,269 |
https://github.com/scikit-learn/scikit-learn/issues/31269 | [
"Build / CI"
] | ⚠️ CI failed on Wheel builder (last failure: May 05, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14828681637)** (May 05, 2025)
COMMENT:
Direct links to:
- last successful nightly run (for manylinux):
https://github.com/scikit-learn/scikit-learn/actions... | 31,269 |
https://github.com/scikit-learn/scikit-learn/issues/31269 | [
"Build / CI"
] | ⚠️ CI failed on Wheel builder (last failure: May 05, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14828681637)** (May 05, 2025)
COMMENT:
This seems to be related to the developer version of Cython. Draft PR to investigate has been opened in #31300.
This ... | 31,269 |
https://github.com/scikit-learn/scikit-learn/issues/31267 | [
"New Feature"
] | Change the default data directory
### Describe the workflow you want to enable
It's not a good practice to put files directly into the home directory.
### Describe your proposed solution
A more common way is to put them into the standard cache directories recommended by operating systems:
| OS | Path |
| -- | ----... | 31,267 |
https://github.com/scikit-learn/scikit-learn/issues/31267 | [
"New Feature"
] | Change the default data directory
### Describe the workflow you want to enable
It's not a good practice to put files directly into the home directory.
### Describe your proposed solution
A more common way is to put them into the standard cache directories recommended by operating systems:
| OS | Path |
| -- | ----... | 31,267 |
https://github.com/scikit-learn/scikit-learn/issues/31267 | [
"New Feature"
] | Change the default data directory
### Describe the workflow you want to enable
It's not a good practice to put files directly into the home directory.
### Describe your proposed solution
A more common way is to put them into the standard cache directories recommended by operating systems:
| OS | Path |
| -- | ----... | 31,267 |
https://github.com/scikit-learn/scikit-learn/issues/31257 | [
"Bug",
"free-threading"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 28, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14699848568)** (Apr 28, 2025)
COMMENT:
The nightly CI has discovered a Cython-related problem on all the free-threading builds:
```python-traceback
_____... | 31,257 |
https://github.com/scikit-learn/scikit-learn/issues/31257 | [
"Bug",
"free-threading"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 28, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14699848568)** (Apr 28, 2025)
COMMENT:
`ColMajor` comes from:
https://github.com/scikit-learn/scikit-learn/blob/7131d9488dfb8edd6ae042caca57dd76523f395b/skl... | 31,257 |
https://github.com/scikit-learn/scikit-learn/issues/31257 | [
"Bug",
"free-threading"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 28, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14699848568)** (Apr 28, 2025)
COMMENT:
I am not sure exactly what caused this build to start failing 2 days ago. Here is the history of the runs:
https://gi... | 31,257 |
https://github.com/scikit-learn/scikit-learn/issues/31257 | [
"Bug",
"free-threading"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 28, 2025) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14699848568)** (Apr 28, 2025)
COMMENT:
In the last successful run and the rist failing run, the Python versions were both:
```
3.13.2 experimental free-thre... | 31,257 |
https://github.com/scikit-learn/scikit-learn/issues/31256 | [
"module:test-suite"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Apr 26, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=75987&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Apr 26, 2025)
- test_precomputed_nearest_neighbors_f... | 31,256 |
https://github.com/scikit-learn/scikit-learn/issues/31256 | [
"module:test-suite"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Apr 26, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=75987&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Apr 26, 2025)
- test_precomputed_nearest_neighbors_f... | 31,256 |
https://github.com/scikit-learn/scikit-learn/issues/31256 | [
"module:test-suite"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Apr 26, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=75987&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Apr 26, 2025)
- test_precomputed_nearest_neighbors_f... | 31,256 |
https://github.com/scikit-learn/scikit-learn/issues/31256 | [
"module:test-suite"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Apr 26, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=75987&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Apr 26, 2025)
- test_precomputed_nearest_neighbors_f... | 31,256 |
https://github.com/scikit-learn/scikit-learn/issues/31248 | [
"Bug"
] | Hangs in LogisticRegression with high intercept_scaling number
### Describe the bug
When using the `LogisticRegression` model with the solver set to `liblinear` and specifying the `intercept_scaling` parameter, the model hangs without any clear reason. The processing time does not increase gradually with the size of ... | 31,248 |
https://github.com/scikit-learn/scikit-learn/issues/31248 | [
"Bug"
] | Hangs in LogisticRegression with high intercept_scaling number
### Describe the bug
When using the `LogisticRegression` model with the solver set to `liblinear` and specifying the `intercept_scaling` parameter, the model hangs without any clear reason. The processing time does not increase gradually with the size of ... | 31,248 |
https://github.com/scikit-learn/scikit-learn/issues/31248 | [
"Bug"
] | Hangs in LogisticRegression with high intercept_scaling number
### Describe the bug
When using the `LogisticRegression` model with the solver set to `liblinear` and specifying the `intercept_scaling` parameter, the model hangs without any clear reason. The processing time does not increase gradually with the size of ... | 31,248 |
https://github.com/scikit-learn/scikit-learn/issues/31248 | [
"Bug"
] | Hangs in LogisticRegression with high intercept_scaling number
### Describe the bug
When using the `LogisticRegression` model with the solver set to `liblinear` and specifying the `intercept_scaling` parameter, the model hangs without any clear reason. The processing time does not increase gradually with the size of ... | 31,248 |
https://github.com/scikit-learn/scikit-learn/issues/31246 | [
"New Feature"
] | Faster Eigen Decomposition for Isomap & KernelPCA
(disclaimer: this issue and associated PR are part of a student project supervised by @smarie )
### Summary
Eigendecomposition is slow when number of samples is large. This impacts decomposition models such as KernelPCA and Isomap. A "randomized" eigendecomposition m... | 31,246 |
https://github.com/scikit-learn/scikit-learn/issues/31246 | [
"New Feature"
] | Faster Eigen Decomposition for Isomap & KernelPCA
(disclaimer: this issue and associated PR are part of a student project supervised by @smarie )
### Summary
Eigendecomposition is slow when number of samples is large. This impacts decomposition models such as KernelPCA and Isomap. A "randomized" eigendecomposition m... | 31,246 |
https://github.com/scikit-learn/scikit-learn/issues/31245 | [
"Bug",
"Needs Triage"
] | GradientBoostingClassifier does not have out-of-bag (OOB) score
### Describe the bug
Hi, the [documentation page](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html) for Gradient boosting Classifier says that there is an out-of-bag score that can be retrieved by the `oo... | 31,245 |
https://github.com/scikit-learn/scikit-learn/issues/31245 | [
"Bug",
"Needs Triage"
] | GradientBoostingClassifier does not have out-of-bag (OOB) score
### Describe the bug
Hi, the [documentation page](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html) for Gradient boosting Classifier says that there is an out-of-bag score that can be retrieved by the `oo... | 31,245 |
https://github.com/scikit-learn/scikit-learn/issues/31244 | [
"New Feature"
] | Add the baseline corrected accuracy score for (multi-class) classification to sklearn.metrics
### Describe the workflow you want to enable
Would it be possible to add a new score to `sklearn.metrics`, namely the baseline corrected accuracy score (BCAS) ([DOI:10.5281/zenodo.15262049](https://doi.org/10.5281/zenodo.152... | 31,244 |
https://github.com/scikit-learn/scikit-learn/issues/31235 | [
"Bug"
] | MLP Classifier "Logistic" activation function providing ~constant prediction probabilities for all inputs when predicting quadratic function
### Describe the bug
Repeatedly the sigmoid activation function produces very similar (multiple dp) outputs for the prediction probabilities, seemingly similar around the averag... | 31,235 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31224 | [
"Bug"
] | OneVsRestClassifier when all estimators predict a sample belongs to the other classes
### Describe the bug
Hello, I stumbled upon quite a funny case by accident.
In OneVsRestClassifier, each classifier predicts whether a sample belongs to a specific class, or to any of the other class. For instance, if you have 3 cl... | 31,224 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31223 | [
"New Feature",
"Needs Decision - Include Feature"
] | Support orthogonal polynomial features (via QR decomposition) in `PolynomialFeatures`
### Describe the workflow you want to enable
I want to introduce support for orthogonal polynomial features via QR decomposition in `PolynomialFeatures`, closely mirroring the behavior of R's `poly()` function.
In regression modeli... | 31,223 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31222 | [
"Bug",
"Needs Investigation"
] | SVC Sigmoid sometimes ROC AUC from predict_proba & decision_function are each other's inverse
### Describe the bug
Uncertain if this is a bug or counter-intuitive expected behavior.
Under certain circumstances the ROC AUC calculated for `SVC` with the `sigmoid` kernel will not agree depending on if you use `predict_... | 31,222 |
https://github.com/scikit-learn/scikit-learn/issues/31219 | [
"New Feature"
] | Add Categorical Feature Support to `IterativeImputer`
### Describe the workflow you want to enable
I want to impute missing values in categorical columns using a similar approach to `IterativeImputer`, which currently works only for continuous data. Specifically, I want to enable the following workflow:
- Identify a... | 31,219 |
https://github.com/scikit-learn/scikit-learn/issues/31219 | [
"New Feature"
] | Add Categorical Feature Support to `IterativeImputer`
### Describe the workflow you want to enable
I want to impute missing values in categorical columns using a similar approach to `IterativeImputer`, which currently works only for continuous data. Specifically, I want to enable the following workflow:
- Identify a... | 31,219 |
https://github.com/scikit-learn/scikit-learn/issues/31219 | [
"New Feature"
] | Add Categorical Feature Support to `IterativeImputer`
### Describe the workflow you want to enable
I want to impute missing values in categorical columns using a similar approach to `IterativeImputer`, which currently works only for continuous data. Specifically, I want to enable the following workflow:
- Identify a... | 31,219 |
https://github.com/scikit-learn/scikit-learn/issues/31219 | [
"New Feature"
] | Add Categorical Feature Support to `IterativeImputer`
### Describe the workflow you want to enable
I want to impute missing values in categorical columns using a similar approach to `IterativeImputer`, which currently works only for continuous data. Specifically, I want to enable the following workflow:
- Identify a... | 31,219 |
https://github.com/scikit-learn/scikit-learn/issues/31219 | [
"New Feature"
] | Add Categorical Feature Support to `IterativeImputer`
### Describe the workflow you want to enable
I want to impute missing values in categorical columns using a similar approach to `IterativeImputer`, which currently works only for continuous data. Specifically, I want to enable the following workflow:
- Identify a... | 31,219 |
https://github.com/scikit-learn/scikit-learn/issues/31218 | [
"New Feature"
] | Add P4 classification metric
### Describe the workflow you want to enable
Hi, while working on a classification problem I found out there is no dedicated function to compute the P4 metric implemented in sklearn. As a reminder, P4 metrics is a binary classification metric that is commonly seen as an extension of the f... | 31,218 |
https://github.com/scikit-learn/scikit-learn/issues/31218 | [
"New Feature"
] | Add P4 classification metric
### Describe the workflow you want to enable
Hi, while working on a classification problem I found out there is no dedicated function to compute the P4 metric implemented in sklearn. As a reminder, P4 metrics is a binary classification metric that is commonly seen as an extension of the f... | 31,218 |
https://github.com/scikit-learn/scikit-learn/issues/31210 | [
"Bug",
"Needs Investigation"
] | Issues with pairwise_distances(metric='euclidean') when used on the output of UMAP
### Describe the bug
When using pairwise_distances with metric='euclidean' on the output of some data from a UMAP, a `RuntimeWarning: divide by zero encountered in matmul ret = a @ b` is raised. This warning is not raised if you just u... | 31,210 |
https://github.com/scikit-learn/scikit-learn/issues/31210 | [
"Bug",
"Needs Investigation"
] | Issues with pairwise_distances(metric='euclidean') when used on the output of UMAP
### Describe the bug
When using pairwise_distances with metric='euclidean' on the output of some data from a UMAP, a `RuntimeWarning: divide by zero encountered in matmul ret = a @ b` is raised. This warning is not raised if you just u... | 31,210 |
https://github.com/scikit-learn/scikit-learn/issues/31210 | [
"Bug",
"Needs Investigation"
] | Issues with pairwise_distances(metric='euclidean') when used on the output of UMAP
### Describe the bug
When using pairwise_distances with metric='euclidean' on the output of some data from a UMAP, a `RuntimeWarning: divide by zero encountered in matmul ret = a @ b` is raised. This warning is not raised if you just u... | 31,210 |
https://github.com/scikit-learn/scikit-learn/issues/31210 | [
"Bug",
"Needs Investigation"
] | Issues with pairwise_distances(metric='euclidean') when used on the output of UMAP
### Describe the bug
When using pairwise_distances with metric='euclidean' on the output of some data from a UMAP, a `RuntimeWarning: divide by zero encountered in matmul ret = a @ b` is raised. This warning is not raised if you just u... | 31,210 |
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