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/31367 | [
"module:utils"
] | Inconsistent `median`/`quantile` behaviour now `_weighted_percentile` ignores NaNs
As of https://github.com/scikit-learn/scikit-learn/pull/29034, `_weighted_percentile` handles NaNs by ignoring them when calculating `percentile`.
`np.median` and `np.percentile` on the other hand, will return NaN if a NaN is present in... | 31,367 |
https://github.com/scikit-learn/scikit-learn/issues/31367 | [
"module:utils"
] | Inconsistent `median`/`quantile` behaviour now `_weighted_percentile` ignores NaNs
As of https://github.com/scikit-learn/scikit-learn/pull/29034, `_weighted_percentile` handles NaNs by ignoring them when calculating `percentile`.
`np.median` and `np.percentile` on the other hand, will return NaN if a NaN is present in... | 31,367 |
https://github.com/scikit-learn/scikit-learn/issues/31367 | [
"module:utils"
] | Inconsistent `median`/`quantile` behaviour now `_weighted_percentile` ignores NaNs
As of https://github.com/scikit-learn/scikit-learn/pull/29034, `_weighted_percentile` handles NaNs by ignoring them when calculating `percentile`.
`np.median` and `np.percentile` on the other hand, will return NaN if a NaN is present in... | 31,367 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31366 | [
"Bug",
"Needs Investigation"
] | Gaussian Process Log Likelihood Gradient Incorrect
### Describe the bug
The gradient function of in the GaussianProcessRegressor Class is incorrect. This leads to inefficiencies fitting kernel (hyper) parameters.
The root of the issue is in that the gradient of the kernel function is made with respect to the log of t... | 31,366 |
https://github.com/scikit-learn/scikit-learn/issues/31365 | [
"Documentation",
"Needs Triage"
] | TargetEncoder example code
### Describe the issue linked to the documentation
The example used in the [stable TargetEncoder documentation](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html) is confusing as the order of the label (that is: dog, cat, snake) is not coherent with ... | 31,365 |
https://github.com/scikit-learn/scikit-learn/issues/31364 | [
"New Feature",
"Needs Triage"
] | Tfidf no genera los cluster correctos para oraciones con poco significado y palabras repetidas
### Describe the workflow you want to enable
Dado el sigueinte csv:
texto,categoria
"el gato el gato el gato el gato el gato","gato"
"el perro el perro el perro el perro el perro","perro"
"la casa la casa la casa la casa la... | 31,364 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31360 | [
"Documentation",
"Needs Investigation",
"Metadata Routing"
] | Describe `set_{method}_request()` API, expose `_MetadataRequester`, or expose `_BaseScorer`
### Describe the issue linked to the documentation
TL;DR: Metadata routing for scoring could either use a base class or documentation of how to write `set_score_request()`.
Currently the [Metadata Estimator Dev Guide](https:/... | 31,360 |
https://github.com/scikit-learn/scikit-learn/issues/31359 | [
"Documentation"
] | Documentation improvement for macOS Homebrew libomp installation
### Describe the issue linked to the documentation
The current documentation in `doc/developers/advanced_installation.rst` under the "macOS compilers from Homebrew" section provides environment variable examples using the path `/usr/local/opt/libomp/`. ... | 31,359 |
https://github.com/scikit-learn/scikit-learn/issues/31359 | [
"Documentation"
] | Documentation improvement for macOS Homebrew libomp installation
### Describe the issue linked to the documentation
The current documentation in `doc/developers/advanced_installation.rst` under the "macOS compilers from Homebrew" section provides environment variable examples using the path `/usr/local/opt/libomp/`. ... | 31,359 |
https://github.com/scikit-learn/scikit-learn/issues/31359 | [
"Documentation"
] | Documentation improvement for macOS Homebrew libomp installation
### Describe the issue linked to the documentation
The current documentation in `doc/developers/advanced_installation.rst` under the "macOS compilers from Homebrew" section provides environment variable examples using the path `/usr/local/opt/libomp/`. ... | 31,359 |
https://github.com/scikit-learn/scikit-learn/issues/31359 | [
"Documentation"
] | Documentation improvement for macOS Homebrew libomp installation
### Describe the issue linked to the documentation
The current documentation in `doc/developers/advanced_installation.rst` under the "macOS compilers from Homebrew" section provides environment variable examples using the path `/usr/local/opt/libomp/`. ... | 31,359 |
https://github.com/scikit-learn/scikit-learn/issues/31356 | [
"New Feature",
"Needs Triage"
] | Benchmark Function
### Describe the workflow you want to enable
I would like to define multiple pipelines and compare them against each other on multiple datasets.
### Describe your proposed solution
A single helper function that executes this benchmark fully in parallel. This would allow
### Describe alternative... | 31,356 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31350 | [
"Bug",
"API",
"Needs Decision",
"module:impute"
] | SimpleImputer casts `category` into `object` when using "most_frequent" strategy
### Describe the bug
The column `dtype` changes from `category` to `object` when I transform it using `SimpleImputer`.
Here is a list of related Issues and PRs that I found while trying to solve this problem:
#29381
#18860
#17625
#175... | 31,350 |
https://github.com/scikit-learn/scikit-learn/issues/31349 | [
"New Feature",
"Needs Decision"
] | Add Multiple Kernel Learning (MKL) for Support Vector Machines (SVM)
### Describe the workflow you want to enable
I propose adding a [Multiple Kernel Learning (MKL)](https://en.wikipedia.org/wiki/Multiple_kernel_learning) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a m... | 31,349 |
https://github.com/scikit-learn/scikit-learn/issues/31349 | [
"New Feature",
"Needs Decision"
] | Add Multiple Kernel Learning (MKL) for Support Vector Machines (SVM)
### Describe the workflow you want to enable
I propose adding a [Multiple Kernel Learning (MKL)](https://en.wikipedia.org/wiki/Multiple_kernel_learning) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a m... | 31,349 |
https://github.com/scikit-learn/scikit-learn/issues/31349 | [
"New Feature",
"Needs Decision"
] | Add Multiple Kernel Learning (MKL) for Support Vector Machines (SVM)
### Describe the workflow you want to enable
I propose adding a [Multiple Kernel Learning (MKL)](https://en.wikipedia.org/wiki/Multiple_kernel_learning) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a m... | 31,349 |
https://github.com/scikit-learn/scikit-learn/issues/31349 | [
"New Feature",
"Needs Decision"
] | Add Multiple Kernel Learning (MKL) for Support Vector Machines (SVM)
### Describe the workflow you want to enable
I propose adding a [Multiple Kernel Learning (MKL)](https://en.wikipedia.org/wiki/Multiple_kernel_learning) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a m... | 31,349 |
https://github.com/scikit-learn/scikit-learn/issues/31348 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: May 10, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14941597365)** (May 10, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/14952022634) on May 11... | 31,348 |
https://github.com/scikit-learn/scikit-learn/issues/31344 | [
"New Feature"
] | Add MultiHorizonTimeSeriesSplit for Multi-Horizon Time Series Cross-Validation
### Describe the workflow you want to enable
The current `TimeSeriesSplit` in scikit-learn supports cross-validation for time series data with a single prediction horizon per split, which limits its use for scenarios requiring forecasts ov... | 31,344 |
https://github.com/scikit-learn/scikit-learn/issues/31344 | [
"New Feature"
] | Add MultiHorizonTimeSeriesSplit for Multi-Horizon Time Series Cross-Validation
### Describe the workflow you want to enable
The current `TimeSeriesSplit` in scikit-learn supports cross-validation for time series data with a single prediction horizon per split, which limits its use for scenarios requiring forecasts ov... | 31,344 |
https://github.com/scikit-learn/scikit-learn/issues/31344 | [
"New Feature"
] | Add MultiHorizonTimeSeriesSplit for Multi-Horizon Time Series Cross-Validation
### Describe the workflow you want to enable
The current `TimeSeriesSplit` in scikit-learn supports cross-validation for time series data with a single prediction horizon per split, which limits its use for scenarios requiring forecasts ov... | 31,344 |
https://github.com/scikit-learn/scikit-learn/issues/31344 | [
"New Feature"
] | Add MultiHorizonTimeSeriesSplit for Multi-Horizon Time Series Cross-Validation
### Describe the workflow you want to enable
The current `TimeSeriesSplit` in scikit-learn supports cross-validation for time series data with a single prediction horizon per split, which limits its use for scenarios requiring forecasts ov... | 31,344 |
https://github.com/scikit-learn/scikit-learn/issues/31327 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: May 07, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/14874735765)** (May 07, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/14874735765) on May 07... | 31,327 |
https://github.com/scikit-learn/scikit-learn/issues/31326 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_free_threaded (last failure: May 07, 2025) ⚠️
**CI failed on [Linux_free_threaded.pylatest_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=76323&view=logs&j=c10228e9-6cf7-5c29-593f-d74f893ca1bd)** (May 07, 2025)
Unable to find junit fil... | 31,326 |
https://github.com/scikit-learn/scikit-learn/issues/31323 | [
"New Feature",
"Needs Triage"
] | Add train_validation_test_split for three-way dataset splits
### Describe the workflow you want to enable
Enable the user to divide the dataset into 3 parts (train, validation and test) instead of only two (train and test) using only one method. This would present a more elegant solution than using the method train_t... | 31,323 |
https://github.com/scikit-learn/scikit-learn/issues/31319 | [
"Documentation"
] | Argument order in haversine_distances for latitude/longitude
### Describe the issue linked to the documentation
Hello! I frequently use [sklearn.metrics.pairwise.haversine_distances](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html) to estimate distances on the globe... | 31,319 |
https://github.com/scikit-learn/scikit-learn/issues/31319 | [
"Documentation"
] | Argument order in haversine_distances for latitude/longitude
### Describe the issue linked to the documentation
Hello! I frequently use [sklearn.metrics.pairwise.haversine_distances](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html) to estimate distances on the globe... | 31,319 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31318 | [
"Bug",
"good first issue"
] | `ValueError` raised by `FeatureUnion._set_output` with `FunctionTransform` that outputs a pandas `Series` in scikit-learn version 1.6
### Describe the bug
Hello,
I'm currently working with scikit-learn version 1.6, and I encountered a regression that wasn't present in version 1.4.
The following minimal code compute... | 31,318 |
https://github.com/scikit-learn/scikit-learn/issues/31315 | [
"Enhancement"
] | SGDRegressor is not inheriting from LinearModel
### Describe the bug
I wanted to rely on the base class [LinearModel](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/linear_model/_base.py#L267) to identify linear models, but I found out that [SGDRegressor](https://github.com/scikit-learn/scikit-learn/b... | 31,315 |
https://github.com/scikit-learn/scikit-learn/issues/31315 | [
"Enhancement"
] | SGDRegressor is not inheriting from LinearModel
### Describe the bug
I wanted to rely on the base class [LinearModel](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/linear_model/_base.py#L267) to identify linear models, but I found out that [SGDRegressor](https://github.com/scikit-learn/scikit-learn/b... | 31,315 |
https://github.com/scikit-learn/scikit-learn/issues/31315 | [
"Enhancement"
] | SGDRegressor is not inheriting from LinearModel
### Describe the bug
I wanted to rely on the base class [LinearModel](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/linear_model/_base.py#L267) to identify linear models, but I found out that [SGDRegressor](https://github.com/scikit-learn/scikit-learn/b... | 31,315 |
https://github.com/scikit-learn/scikit-learn/issues/31315 | [
"Enhancement"
] | SGDRegressor is not inheriting from LinearModel
### Describe the bug
I wanted to rely on the base class [LinearModel](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/linear_model/_base.py#L267) to identify linear models, but I found out that [SGDRegressor](https://github.com/scikit-learn/scikit-learn/b... | 31,315 |
https://github.com/scikit-learn/scikit-learn/issues/31311 | [
"Documentation"
] | Reference CalibrationDisplay from calibration_curve's docstring in a "See also section"
### Describe the issue linked to the documentation
Enrich documentation like proposed in #31302 for calibration_curve's
### Suggest a potential alternative/fix
_No response_
COMMENT:
hi @metlouf
I'd like to work on this docum... | 31,311 |
https://github.com/scikit-learn/scikit-learn/issues/31311 | [
"Documentation"
] | Reference CalibrationDisplay from calibration_curve's docstring in a "See also section"
### Describe the issue linked to the documentation
Enrich documentation like proposed in #31302 for calibration_curve's
### Suggest a potential alternative/fix
_No response_
COMMENT:
I already opened a PR and solve the problem
... | 31,311 |
https://github.com/scikit-learn/scikit-learn/issues/31311 | [
"Documentation"
] | Reference CalibrationDisplay from calibration_curve's docstring in a "See also section"
### Describe the issue linked to the documentation
Enrich documentation like proposed in #31302 for calibration_curve's
### Suggest a potential alternative/fix
_No response_
COMMENT:
@metlouf
Thanks for the update! Glad to see... | 31,311 |
https://github.com/scikit-learn/scikit-learn/issues/31304 | [
"Documentation"
] | DOC Link Visualization tools to their respective interpretation in the User Guide
### Describe the issue linked to the documentation
As of today, some of our [Display objects](https://scikit-learn.org/dev/visualizations.html#display-objects) point towards the [`Visualizations`](https://scikit-learn.org/dev/visualizat... | 31,304 |
https://github.com/scikit-learn/scikit-learn/issues/31304 | [
"Documentation"
] | DOC Link Visualization tools to their respective interpretation in the User Guide
### Describe the issue linked to the documentation
As of today, some of our [Display objects](https://scikit-learn.org/dev/visualizations.html#display-objects) point towards the [`Visualizations`](https://scikit-learn.org/dev/visualizat... | 31,304 |
https://github.com/scikit-learn/scikit-learn/issues/31304 | [
"Documentation"
] | DOC Link Visualization tools to their respective interpretation in the User Guide
### Describe the issue linked to the documentation
As of today, some of our [Display objects](https://scikit-learn.org/dev/visualizations.html#display-objects) point towards the [`Visualizations`](https://scikit-learn.org/dev/visualizat... | 31,304 |
https://github.com/scikit-learn/scikit-learn/issues/31304 | [
"Documentation"
] | DOC Link Visualization tools to their respective interpretation in the User Guide
### Describe the issue linked to the documentation
As of today, some of our [Display objects](https://scikit-learn.org/dev/visualizations.html#display-objects) point towards the [`Visualizations`](https://scikit-learn.org/dev/visualizat... | 31,304 |
https://github.com/scikit-learn/scikit-learn/issues/31304 | [
"Documentation"
] | DOC Link Visualization tools to their respective interpretation in the User Guide
### Describe the issue linked to the documentation
As of today, some of our [Display objects](https://scikit-learn.org/dev/visualizations.html#display-objects) point towards the [`Visualizations`](https://scikit-learn.org/dev/visualizat... | 31,304 |
https://github.com/scikit-learn/scikit-learn/issues/31302 | [
"Documentation"
] | Reference `ValidationCurveDisplay` from `validation_curve`'s docstring in a "See also section"
### Describe the issue linked to the documentation
The docstring of `validation_curve` should point to the `ValidationCurveDisplay.from_estimator` factory method as a complementary tool that both computes the curves points ... | 31,302 |
https://github.com/scikit-learn/scikit-learn/issues/31302 | [
"Documentation"
] | Reference `ValidationCurveDisplay` from `validation_curve`'s docstring in a "See also section"
### Describe the issue linked to the documentation
The docstring of `validation_curve` should point to the `ValidationCurveDisplay.from_estimator` factory method as a complementary tool that both computes the curves points ... | 31,302 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31290 | [
"Bug"
] | `_safe_indexing` triggers `SettingWithCopyWarning` when used with `slice`
### Describe the bug
Here's something I noticed while looking into https://github.com/scikit-learn/scikit-learn/pull/31127
The test
```
pytest sklearn/utils/tests/test_indexing.py::test_safe_indexing_pandas_no_settingwithcopy_warning
```
check... | 31,290 |
https://github.com/scikit-learn/scikit-learn/issues/31288 | [
"Bug",
"Needs Triage"
] | `make_scorer(needs_sample_weight=True)` wrongly injects `needs_sample_weight` into the scoring function
### Describe the bug
When using `make_scorer(..., needs_sample_weight=True)`, the generated scorer unexpectedly passes `needs_sample_weight=True` as a keyword argument to the scoring function itself, leading to `T... | 31,288 |
https://github.com/scikit-learn/scikit-learn/issues/31288 | [
"Bug",
"Needs Triage"
] | `make_scorer(needs_sample_weight=True)` wrongly injects `needs_sample_weight` into the scoring function
### Describe the bug
When using `make_scorer(..., needs_sample_weight=True)`, the generated scorer unexpectedly passes `needs_sample_weight=True` as a keyword argument to the scoring function itself, leading to `T... | 31,288 |
https://github.com/scikit-learn/scikit-learn/issues/31288 | [
"Bug",
"Needs Triage"
] | `make_scorer(needs_sample_weight=True)` wrongly injects `needs_sample_weight` into the scoring function
### Describe the bug
When using `make_scorer(..., needs_sample_weight=True)`, the generated scorer unexpectedly passes `needs_sample_weight=True` as a keyword argument to the scoring function itself, leading to `T... | 31,288 |
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 |
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