Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-label-classification
Languages:
English
Size:
10K - 100K
License:
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/32987 | [
"Bug",
"module:linear_model",
"module:test-suite"
] | CI : Numerical flakiness in test_enet_ols_consistency
### Describe the bug
While working on another scikit-learn PR (**#32368**), CI intermittently failed in `sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ols_consistency`.It came from a strict numerical ordering assertion on the squared error:
```... | 32,987 |
https://github.com/scikit-learn/scikit-learn/issues/32987 | [
"Bug",
"module:linear_model",
"module:test-suite"
] | CI : Numerical flakiness in test_enet_ols_consistency
### Describe the bug
While working on another scikit-learn PR (**#32368**), CI intermittently failed in `sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ols_consistency`.It came from a strict numerical ordering assertion on the squared error:
```... | 32,987 |
https://github.com/scikit-learn/scikit-learn/issues/32987 | [
"Bug",
"module:linear_model",
"module:test-suite"
] | CI : Numerical flakiness in test_enet_ols_consistency
### Describe the bug
While working on another scikit-learn PR (**#32368**), CI intermittently failed in `sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ols_consistency`.It came from a strict numerical ordering assertion on the squared error:
```... | 32,987 |
https://github.com/scikit-learn/scikit-learn/issues/32978 | [
"Bug"
] | janitor module conflicts with sklearn cross_val_score
### Describe the bug
Importing janitor when using LeaveOneOut() with cross_val_score() causing warning.
### Steps/Code to Reproduce
```
from sklearn.model_selection import LeaveOneOut, KFold, cross_val_score
import janitor #cannot be used with cross_val_score si... | 32,978 |
https://github.com/scikit-learn/scikit-learn/issues/32978 | [
"Bug"
] | janitor module conflicts with sklearn cross_val_score
### Describe the bug
Importing janitor when using LeaveOneOut() with cross_val_score() causing warning.
### Steps/Code to Reproduce
```
from sklearn.model_selection import LeaveOneOut, KFold, cross_val_score
import janitor #cannot be used with cross_val_score si... | 32,978 |
https://github.com/scikit-learn/scikit-learn/issues/32961 | [
"Bug"
] | Consistent HTTP 403 Figshare error since December 27
Seems to be failing since December 27 around 13:00 UTC, see https://github.com/lesteve/test-figshare-fetchers/actions.
I can reproduce locally:
```
❯ curl https://figshare.com/ndownloader/files/5976078
<html>
<head><title>403 Forbidden</title></head>
<b... | 32,961 |
https://github.com/scikit-learn/scikit-learn/issues/32961 | [
"Bug"
] | Consistent HTTP 403 Figshare error since December 27
Seems to be failing since December 27 around 13:00 UTC, see https://github.com/lesteve/test-figshare-fetchers/actions.
I can reproduce locally:
```
❯ curl https://figshare.com/ndownloader/files/5976078
<html>
<head><title>403 Forbidden</title></head>
<b... | 32,961 |
https://github.com/scikit-learn/scikit-learn/issues/32961 | [
"Bug"
] | Consistent HTTP 403 Figshare error since December 27
Seems to be failing since December 27 around 13:00 UTC, see https://github.com/lesteve/test-figshare-fetchers/actions.
I can reproduce locally:
```
❯ curl https://figshare.com/ndownloader/files/5976078
<html>
<head><title>403 Forbidden</title></head>
<b... | 32,961 |
https://github.com/scikit-learn/scikit-learn/issues/32958 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_forge_mkl_no_openmp (last failure: Dec 28, 2025) ⚠️
**CI failed on [macOS.pylatest_conda_forge_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=83721&view=logs&j=8b4d29c4-7356-5617-94d6-7bef17a56394)** (Dec 28, 2025)
Unable to find junit file. P... | 32,958 |
https://github.com/scikit-learn/scikit-learn/issues/32958 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_forge_mkl_no_openmp (last failure: Dec 28, 2025) ⚠️
**CI failed on [macOS.pylatest_conda_forge_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=83721&view=logs&j=8b4d29c4-7356-5617-94d6-7bef17a56394)** (Dec 28, 2025)
Unable to find junit file. P... | 32,958 |
https://github.com/scikit-learn/scikit-learn/issues/32957 | [
"Documentation"
] | DOC: First example for SimpleImputer is unclear
### Describe the issue linked to the documentation
The first example for SimpleImputer in 7.4.2. Univariate feature imputation (https://scikit-learn.org/stable/modules/impute.html#univariate-feature-imputation) is bit unclear. While the imputation is done on an array me... | 32,957 |
https://github.com/scikit-learn/scikit-learn/issues/32957 | [
"Documentation"
] | DOC: First example for SimpleImputer is unclear
### Describe the issue linked to the documentation
The first example for SimpleImputer in 7.4.2. Univariate feature imputation (https://scikit-learn.org/stable/modules/impute.html#univariate-feature-imputation) is bit unclear. While the imputation is done on an array me... | 32,957 |
https://github.com/scikit-learn/scikit-learn/issues/32952 | [
"New Feature",
"Needs Triage"
] | Add Net Benefit for classifications metrics
### Describe the workflow you want to enable
Net benefit is defined as a decision-analytic measure that quantifies the clinical value of a prediction model, test, or marker by putting its benefits and harms on the same scale. This is done by specifying an exchange rate—a cl... | 32,952 |
https://github.com/scikit-learn/scikit-learn/issues/32949 | [
"Needs Triage"
] | BUG: HuberRegressor fails with boolean feature matrix
### Summary
`HuberRegressor.fit` raises a `TypeError` when the feature matrix is boolean because the internal gradient helper negates a boolean mask with the `-` operator. In NumPy >=1.13 this triggers `TypeError: The numpy boolean negative, the '-' operator, is no... | 32,949 |
https://github.com/scikit-learn/scikit-learn/issues/32947 | [
"Needs Triage"
] | clone: treat class-valued parameters as non-estimators (avoid TypeError) [swev-id: scikit-learn__scikit-learn-12585]
## User request
Clone fails for parameters that are estimator types.
Key: clone should not error when a parameter is a class; adjust clone to treat classes as non-estimators (e.g., check isinstance(est... | 32,947 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32946 | [
"Documentation"
] | GridSearchCV.verbose documentation does not match actual behavior (values >3, >10)
### Describe the issue linked to the documentation
[`GridSearchCV` docs ](https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html) state
> **verbose** int
> Controls the verbosity: the higher, the more... | 32,946 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32930 | [
"RFC"
] | DOC Supervised clustering metrics specify array input dtype
Several of our supervised clustering metrics specify/suggest (??) that the array input should be of type `int` or `integral`, e.g.:
`pair_confusion_matrix`:
https://github.com/scikit-learn/scikit-learn/blob/b0ba8b029c298e0cc545206d2df4757be0ec2ac2/sklearn/m... | 32,930 |
https://github.com/scikit-learn/scikit-learn/issues/32929 | [
"Bug",
"Needs Reproducible Code"
] | [Solved] Picard library modifies sklearn FastICA causing it to reject a default value for the `fun` parameter
### Describe the bug
I wrote some code that did not specify a `fun` parameter to FastICA and somehow this default value was rejected
```
File "/home/louis/dev/arxiv_explorer/benchmark_ica_impls.py", line 8... | 32,929 |
https://github.com/scikit-learn/scikit-learn/issues/32929 | [
"Bug",
"Needs Reproducible Code"
] | [Solved] Picard library modifies sklearn FastICA causing it to reject a default value for the `fun` parameter
### Describe the bug
I wrote some code that did not specify a `fun` parameter to FastICA and somehow this default value was rejected
```
File "/home/louis/dev/arxiv_explorer/benchmark_ica_impls.py", line 8... | 32,929 |
https://github.com/scikit-learn/scikit-learn/issues/32927 | [
"Bug"
] | `LogisticRegression`: Conflicting warnings when following deprecation advice for `penalty=None` (sklearn 1.8.0)
### Describe the bug
I am encountering a catch-22 situation with `LogisticRegression` warnings in scikit-learn 1.8.0.
When I use `LogisticRegression(penalty=None)`, I get a `FutureWarning` advising me to u... | 32,927 |
https://github.com/scikit-learn/scikit-learn/issues/32927 | [
"Bug"
] | `LogisticRegression`: Conflicting warnings when following deprecation advice for `penalty=None` (sklearn 1.8.0)
### Describe the bug
I am encountering a catch-22 situation with `LogisticRegression` warnings in scikit-learn 1.8.0.
When I use `LogisticRegression(penalty=None)`, I get a `FutureWarning` advising me to u... | 32,927 |
https://github.com/scikit-learn/scikit-learn/issues/32927 | [
"Bug"
] | `LogisticRegression`: Conflicting warnings when following deprecation advice for `penalty=None` (sklearn 1.8.0)
### Describe the bug
I am encountering a catch-22 situation with `LogisticRegression` warnings in scikit-learn 1.8.0.
When I use `LogisticRegression(penalty=None)`, I get a `FutureWarning` advising me to u... | 32,927 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32924 | [
"Array API"
] | Array API spec for `unique_values` does not specify order of unique elements
Noticed when working on #32923
I don't think we need to do anything about this, (and indeed all our tests pass), I just wanted to document this for posterity, in case we encounter any problems later.
Array API spec for `unique_values` does ... | 32,924 |
https://github.com/scikit-learn/scikit-learn/issues/32919 | [
"Bug",
"Needs Triage"
] | Kernel crash on BayesianGaussianMixture
### Describe the bug
I learn BayesianGaussianMixture right now and get kernel crash on sklearn documentation example.
The error is 100% reproducible and wont go away after OS restrat, kernel restrat. I even try to read Goodfellow, no effect.
Initially i got the error on versio... | 32,919 |
https://github.com/scikit-learn/scikit-learn/issues/32919 | [
"Bug",
"Needs Triage"
] | Kernel crash on BayesianGaussianMixture
### Describe the bug
I learn BayesianGaussianMixture right now and get kernel crash on sklearn documentation example.
The error is 100% reproducible and wont go away after OS restrat, kernel restrat. I even try to read Goodfellow, no effect.
Initially i got the error on versio... | 32,919 |
https://github.com/scikit-learn/scikit-learn/issues/32919 | [
"Bug",
"Needs Triage"
] | Kernel crash on BayesianGaussianMixture
### Describe the bug
I learn BayesianGaussianMixture right now and get kernel crash on sklearn documentation example.
The error is 100% reproducible and wont go away after OS restrat, kernel restrat. I even try to read Goodfellow, no effect.
Initially i got the error on versio... | 32,919 |
https://github.com/scikit-learn/scikit-learn/issues/32919 | [
"Bug",
"Needs Triage"
] | Kernel crash on BayesianGaussianMixture
### Describe the bug
I learn BayesianGaussianMixture right now and get kernel crash on sklearn documentation example.
The error is 100% reproducible and wont go away after OS restrat, kernel restrat. I even try to read Goodfellow, no effect.
Initially i got the error on versio... | 32,919 |
https://github.com/scikit-learn/scikit-learn/issues/32915 | [
"Documentation"
] | [for discussion]: adding link to Contributing Guide to top menu
### Describe the issue linked to the documentation
This issue is a **discussion** item.
## Questions:
1. Can we add a link to "Contributing" to the top level menu? It seems a bit hidden, and the questions on contributing come up quite often.
- Con... | 32,915 |
https://github.com/scikit-learn/scikit-learn/issues/32915 | [
"Documentation"
] | [for discussion]: adding link to Contributing Guide to top menu
### Describe the issue linked to the documentation
This issue is a **discussion** item.
## Questions:
1. Can we add a link to "Contributing" to the top level menu? It seems a bit hidden, and the questions on contributing come up quite often.
- Con... | 32,915 |
https://github.com/scikit-learn/scikit-learn/issues/32915 | [
"Documentation"
] | [for discussion]: adding link to Contributing Guide to top menu
### Describe the issue linked to the documentation
This issue is a **discussion** item.
## Questions:
1. Can we add a link to "Contributing" to the top level menu? It seems a bit hidden, and the questions on contributing come up quite often.
- Con... | 32,915 |
https://github.com/scikit-learn/scikit-learn/issues/32915 | [
"Documentation"
] | [for discussion]: adding link to Contributing Guide to top menu
### Describe the issue linked to the documentation
This issue is a **discussion** item.
## Questions:
1. Can we add a link to "Contributing" to the top level menu? It seems a bit hidden, and the questions on contributing come up quite often.
- Con... | 32,915 |
https://github.com/scikit-learn/scikit-learn/issues/32915 | [
"Documentation"
] | [for discussion]: adding link to Contributing Guide to top menu
### Describe the issue linked to the documentation
This issue is a **discussion** item.
## Questions:
1. Can we add a link to "Contributing" to the top level menu? It seems a bit hidden, and the questions on contributing come up quite often.
- Con... | 32,915 |
https://github.com/scikit-learn/scikit-learn/issues/32914 | [
"New Feature",
"Needs Triage"
] | Addressed: FastICA logcosh bottleneck
### Describe the workflow you want to enable
For: sklearn/decomposition/_fastica.py
Hello,
Firstly thank you for the amazing library :D
I see in the FastICA there was a bottleneck that was messing a lot with my run time, so i optimized it and compared my implementation with th... | 32,914 |
https://github.com/scikit-learn/scikit-learn/issues/32914 | [
"New Feature",
"Needs Triage"
] | Addressed: FastICA logcosh bottleneck
### Describe the workflow you want to enable
For: sklearn/decomposition/_fastica.py
Hello,
Firstly thank you for the amazing library :D
I see in the FastICA there was a bottleneck that was messing a lot with my run time, so i optimized it and compared my implementation with th... | 32,914 |
https://github.com/scikit-learn/scikit-learn/issues/32914 | [
"New Feature",
"Needs Triage"
] | Addressed: FastICA logcosh bottleneck
### Describe the workflow you want to enable
For: sklearn/decomposition/_fastica.py
Hello,
Firstly thank you for the amazing library :D
I see in the FastICA there was a bottleneck that was messing a lot with my run time, so i optimized it and compared my implementation with th... | 32,914 |
https://github.com/scikit-learn/scikit-learn/issues/32914 | [
"New Feature",
"Needs Triage"
] | Addressed: FastICA logcosh bottleneck
### Describe the workflow you want to enable
For: sklearn/decomposition/_fastica.py
Hello,
Firstly thank you for the amazing library :D
I see in the FastICA there was a bottleneck that was messing a lot with my run time, so i optimized it and compared my implementation with th... | 32,914 |
https://github.com/scikit-learn/scikit-learn/issues/32914 | [
"New Feature",
"Needs Triage"
] | Addressed: FastICA logcosh bottleneck
### Describe the workflow you want to enable
For: sklearn/decomposition/_fastica.py
Hello,
Firstly thank you for the amazing library :D
I see in the FastICA there was a bottleneck that was messing a lot with my run time, so i optimized it and compared my implementation with th... | 32,914 |
End of preview. Expand in Data Studio
🧩 Scikit-learn GitHub Issues – Multilabel Dataset
This dataset contains GitHub issues from the scikit-learn repository, prepared for multilabel NLP tasks such as issue tagging, automated triage, and semantic search.
Each row corresponds to one issue-comment context, making the dataset suitable for real-world developer tooling.
📌 Motivation
GitHub issues are a critical signal in open-source projects:
- Bug tracking
- Feature requests
- Documentation improvements
- Module-specific discussions
This dataset enables:
- Multilabel text classification
- Label recommendation systems
- Semantic search over issues
- Downstream LLM & RAG pipelines
📦 Dataset Construction
Source
- Repository:
scikit-learn/scikit-learn - Collected using the GitHub REST API
Included
- Open & closed issues
- Issue title + body
- All comments
- Original GitHub labels
Excluded
- Pull requests
🔄 Preprocessing Pipeline
- Retrieved issues up to API safety limits
- Removed pull requests
- Downloaded all issue comments
- Exploded issues by comments
- Constructed a unified
textfield:- title
- body
- comments
- Extracted label names into a multilabel format
📊 Dataset Overview
- Samples: ~12,500
- Labels per sample: 1–6
- Unique labels: ~20+
- Language: English
Example labels:
BugDocumentationNew Featuremodule:linear_modelBuild / CINeeds Triage
🧱 Dataset Columns
| Column | Description |
|---|---|
html_url |
GitHub issue URL |
labels |
List of labels (multilabel target) |
text |
Issue title + body + comments |
issue_number |
Original GitHub issue number |
Column types are inferred automatically from the dataset files.
🚀 Intended Use
- Multilabel classification
- Issue triage automation
- Semantic search
- Developer-facing ML tools
⚠️ Limitations
- Natural class imbalance
- Domain-specific to scikit-learn
- Label taxonomy evolves over time
👤 Author
Talip7
Focused on applied NLP, real-world datasets, and production ML pipelines.
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