html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k | embedding listlengths 768 768 |
|---|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/30852 | [
"New Feature"
] | Add a progress bar to the randomized and grid search
### Describe the workflow you want to enable
When working on a large hyper-parameter set, setting the verbosity of `{Randomized, Grid}SearchCV` doesn't make the CV more informative. The display should help users estimate their waiting time and take a look at their ... | 30,852 | [
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0.02070080116391182,
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0.05197257548570633,
-0.010990038514137268,
0... |
https://github.com/scikit-learn/scikit-learn/issues/30852 | [
"New Feature"
] | Add a progress bar to the randomized and grid search
### Describe the workflow you want to enable
When working on a large hyper-parameter set, setting the verbosity of `{Randomized, Grid}SearchCV` doesn't make the CV more informative. The display should help users estimate their waiting time and take a look at their ... | 30,852 | [
-0.0038923590909689665,
0.02634432539343834,
-0.012112977914512157,
-0.047612614929676056,
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0.02070080116391182,
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0.05197257548570633,
-0.010990038514137268,
0... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
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0.04779813811182976,
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0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30840 | [
"Bug",
"Regression"
] | StandardScaler is `stateless`
### Describe the bug
The StandardScaler seems to be stateless in version 1.6.1. But fit changes the state of the StandardScaler if I got it correctly.
### Steps/Code to Reproduce
```
StandardScaler()._get_tags()["stateless"]
```
### Expected Results
False
### Actual Results
True
... | 30,840 | [
-0.058059245347976685,
-0.0610940083861351,
-0.003969312179833651,
0.006046400871127844,
0.025615062564611435,
-0.022429771721363068,
0.04779813811182976,
0.012366295792162418,
0.004694899078458548,
0.008868822827935219,
0.04508839175105095,
0.026823077350854874,
0.04523183032870293,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/30834 | [
"Bug",
"Needs Decision"
] | Bug: AttributeError in `str_escape` when handling `numpy.int64` in `sklearn.tree._export.py` in `/sklearn/tree/_export.py`
### Describe the bug
When exporting a decision tree using `sklearn.tree.export_text()` (or other related functions), an AttributeError occurs if a `numpy.int64` value is passed to `_export.py` i... | 30,834 | [
0.013602219521999359,
-0.007038594223558903,
0.008438720367848873,
-0.007933899760246277,
0.06797855347394943,
-0.007815925404429436,
0.008488607592880726,
0.03816850483417511,
-0.02846786007285118,
-0.036730315536260605,
0.01565781980752945,
0.08834153413772583,
0.006896163336932659,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/30834 | [
"Bug",
"Needs Decision"
] | Bug: AttributeError in `str_escape` when handling `numpy.int64` in `sklearn.tree._export.py` in `/sklearn/tree/_export.py`
### Describe the bug
When exporting a decision tree using `sklearn.tree.export_text()` (or other related functions), an AttributeError occurs if a `numpy.int64` value is passed to `_export.py` i... | 30,834 | [
0.013602219521999359,
-0.007038594223558903,
0.008438720367848873,
-0.007933899760246277,
0.06797855347394943,
-0.007815925404429436,
0.008488607592880726,
0.03816850483417511,
-0.02846786007285118,
-0.036730315536260605,
0.01565781980752945,
0.08834153413772583,
0.006896163336932659,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 | [
0.014883151277899742,
0.0010628631571307778,
0.04106421396136284,
0.045837972313165665,
0.12113846093416214,
-0.005436415784060955,
0.062778040766716,
0.033859990537166595,
0.015513301827013493,
0.008136243559420109,
0.028772756457328796,
0.015346810221672058,
0.00037186103872954845,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 | [
0.014883151277899742,
0.0010628631571307778,
0.04106421396136284,
0.045837972313165665,
0.12113846093416214,
-0.005436415784060955,
0.062778040766716,
0.033859990537166595,
0.015513301827013493,
0.008136243559420109,
0.028772756457328796,
0.015346810221672058,
0.00037186103872954845,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 | [
0.014883151277899742,
0.0010628631571307778,
0.04106421396136284,
0.045837972313165665,
0.12113846093416214,
-0.005436415784060955,
0.062778040766716,
0.033859990537166595,
0.015513301827013493,
0.008136243559420109,
0.028772756457328796,
0.015346810221672058,
0.00037186103872954845,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30832 | [
"Bug",
"Needs Investigation"
] | Numpy Array Error when Training MultioutputClassifer with LogisticRegressionCV with classes underrepresented
### Describe the bug
When I train the MultioutputClassifer with LogisticRegressionCV with classes underrepresented, I get the following numpy error.
I think this is connected to the issue #28178 and #26401.
#... | 30,832 | [
0.014883151277899742,
0.0010628631571307778,
0.04106421396136284,
0.045837972313165665,
0.12113846093416214,
-0.005436415784060955,
0.062778040766716,
0.033859990537166595,
0.015513301827013493,
0.008136243559420109,
0.028772756457328796,
0.015346810221672058,
0.00037186103872954845,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
Odd:
```
info: This container will host the build for cp310-manylinux_aarch64...
+ docker version -f '{{json .}}'
Cannot ... | 30,830 | [
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0.030891386792063713,
0.060847748070955276,
0.008905484341084957,
0.020697545260190964,
0.017... |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
Maybe it will disappear tonight ;) | 30,830 | [
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0.086... |
https://github.com/scikit-learn/scikit-learn/issues/30830 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 14, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13322079886)** (Feb 14, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/13341472600) on Feb 15... | 30,830 | [
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0.05238614231348038,
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0.03834383934736252,
0.08903186768293381,
0.02548620104789734,
-0.014311062172055244,
0.08464... |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 | [
0.03466150164604187,
0.058149393647909164,
0.011281048879027367,
-0.01409704890102148,
-0.010515058413147926,
0.005714780651032925,
0.027838001027703285,
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-0.03574822470545769,
0.05774557963013649,
0.0317460298538208,
0.02254846692085266,
0.045... |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 | [
0.042418625205755234,
0.04330892115831375,
0.0010328260250389576,
0.013971199281513691,
0.010670997202396393,
0.010499585419893265,
0.013999230228364468,
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-0.021506493911147118,
0.05803055688738823,
0.012321089394390583,
0.015392851084470749,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 | [
0.035267043858766556,
0.05119829624891281,
0.024604426696896553,
-0.0014664297923445702,
0.0068033915013074875,
0.008541788905858994,
0.030676597729325294,
0.036511633545160294,
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-0.014709635637700558,
0.03774098679423332,
0.0461253821849823,
0.035530317574739456,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 | [
0.04854058474302292,
0.040170662105083466,
0.025871889665722847,
0.004514502361416817,
-0.003028332022950053,
0.0256513524800539,
0.018937787041068077,
0.005232343450188637,
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-0.027219876646995544,
0.049062300473451614,
0.020082036033272743,
0.027085212990641594,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30826 | [
"Documentation"
] | DOC Donating to the project
### Describe the issue linked to the documentation
For discussion.
Updating this page: https://scikit-learn.org/stable/about.html#donating-to-the-project
Include option(s) for various donation links (in addition to directly via NF), such as GitHub Sponsors and Benevity, OC.
### Suggest a... | 30,826 | [
0.038167182356119156,
0.04281122237443924,
0.03686058148741722,
-0.004171412903815508,
-0.0035077426582574844,
0.007554851938039064,
0.03235368803143501,
0.035440459847450256,
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-0.014455444179475307,
0.01998085156083107,
0.05027605593204498,
0.04051029309630394,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30821 | [
"Documentation"
] | Consolidate description of missing values in tree-based models `RandomForestClassifier` and `ExtraTreesClassifier`
### Describe the issue linked to the documentation
[HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) has a section r... | 30,821 | [
0.025348832830786705,
0.04976564645767212,
0.005348114296793938,
-0.01917109452188015,
0.023009443655610085,
-0.009603719227015972,
-0.012275082990527153,
-0.046462398022413254,
-0.04716689512133598,
-0.004073889926075935,
0.05772300064563751,
-0.047332148998975754,
0.011853115633130074,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 | [
-0.025333549827337265,
-0.027605915442109108,
0.042156074196100235,
0.00013736453547608107,
0.0944649949669838,
0.005121837370097637,
-0.006234416738152504,
-0.025777364149689674,
-0.005117780063301325,
0.004896712955087423,
0.029690947383642197,
0.04591860622167587,
0.0226933304220438,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 | [
-0.025333549827337265,
-0.027605915442109108,
0.042156074196100235,
0.00013736453547608107,
0.0944649949669838,
0.005121837370097637,
-0.006234416738152504,
-0.025777364149689674,
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0.004896712955087423,
0.029690947383642197,
0.04591860622167587,
0.0226933304220438,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30818 | [
"Bug",
"Metadata Routing"
] | UnsetMetadataPassedError can point towards the wrong method
### Describe the bug
When `enable_metadata_routing=True`, for a missing `set_score_request`, `UnsetMetadataPassedError` message states that a `set_fit_request` is missing.
### Steps/Code to Reproduce
```python
from sklearn import set_config
from sklearn.ex... | 30,818 | [
-0.025333549827337265,
-0.027605915442109108,
0.042156074196100235,
0.00013736453547608107,
0.0944649949669838,
0.005121837370097637,
-0.006234416738152504,
-0.025777364149689674,
-0.005117780063301325,
0.004896712955087423,
0.029690947383642197,
0.04591860622167587,
0.0226933304220438,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 | [
0.01558625977486372,
0.003174325218424201,
0.051964227110147476,
-0.003617997746914625,
0.039667800068855286,
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0.007577571086585522,
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-0.008561690337955952,
0.04899873211979866,
0.04686876758933067,
0.010549734346568584,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 | [
0.01558625977486372,
0.003174325218424201,
0.051964227110147476,
-0.003617997746914625,
0.039667800068855286,
-0.005831357091665268,
0.007577571086585522,
-0.0067070950753986835,
-0.05347083508968353,
-0.008561690337955952,
0.04899873211979866,
0.04686876758933067,
0.010549734346568584,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 | [
0.01558625977486372,
0.003174325218424201,
0.051964227110147476,
-0.003617997746914625,
0.039667800068855286,
-0.005831357091665268,
0.007577571086585522,
-0.0067070950753986835,
-0.05347083508968353,
-0.008561690337955952,
0.04899873211979866,
0.04686876758933067,
0.010549734346568584,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 | [
0.01558625977486372,
0.003174325218424201,
0.051964227110147476,
-0.003617997746914625,
0.039667800068855286,
-0.005831357091665268,
0.007577571086585522,
-0.0067070950753986835,
-0.05347083508968353,
-0.008561690337955952,
0.04899873211979866,
0.04686876758933067,
0.010549734346568584,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30817 | [
"Bug",
"Metadata Routing"
] | sample_weight is silently ignored in LogisticRegressionCV.score when metadata routing is enabled
### Describe the bug
I'm not sure if it is a proper bug, or my lack of understanding of the metadata routing API ;)
When `enable_metadata_routing=True`, the `score` method of a `LogisticRegressionCV` estimator will ignor... | 30,817 | [
0.01558625977486372,
0.003174325218424201,
0.051964227110147476,
-0.003617997746914625,
0.039667800068855286,
-0.005831357091665268,
0.007577571086585522,
-0.0067070950753986835,
-0.05347083508968353,
-0.008561690337955952,
0.04899873211979866,
0.04686876758933067,
0.010549734346568584,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30812 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Feb 12, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74075&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Feb 12, 2025)
- Test Collection Failure
COMMENT:
HT... | 30,812 | [
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0.018008196726441383,
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0.006290993187576532,
-0.0017158420523628592,
0.005604617763310671,
0.010150005109608173,
... |
https://github.com/scikit-learn/scikit-learn/issues/30812 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Feb 12, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=74075&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Feb 12, 2025)
- Test Collection Failure
COMMENT:
##... | 30,812 | [
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0.028513504192233086,
0.045646052807569504,
0.03419589251279831,
-0.003968513570725918,
0.095... |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 | [
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0.030924607068300247,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 | [
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0.012392643839120865,
0.030364513397216797,
... |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 | [
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0.0007711857324466109,
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0.0357314758002758,
0.01002312358468771,
0.030487196519970894,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/30811 | [
"Needs Triage"
] | Are there any pitfalls by combining `n_jobs` and `random_state`?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/30809
<div type='discussions-op-text'>
<sup>Originally posted by **adosar** February 11, 2025</sup>
In [Controlling randomness](https://scikit-learn.org/stable/common_pitfalls.ht... | 30,811 | [
-0.061894308775663376,
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0.04157945513725281,
0.014352679252624512,
0.030391309410333633,
... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
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0.021752607077360153,
0.02013224922120571,
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0.0029665869660675526,
0.0576922632753849,
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-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
-0.056330885738134384,
0.021752607077360153,
0.02013224922120571,
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0.040311072021722794,
0.040078651160001755,
0.030814696103334427,
0.03231707215309143,
0.001584001467563212,
0.0029665869660675526,
0.0576922632753849,
-0.039035044610500336,
-0.023798950016498566,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
-0.056330885738134384,
0.021752607077360153,
0.02013224922120571,
-0.014387448318302631,
0.040311072021722794,
0.040078651160001755,
0.030814696103334427,
0.03231707215309143,
0.001584001467563212,
0.0029665869660675526,
0.0576922632753849,
-0.039035044610500336,
-0.023798950016498566,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
-0.056330885738134384,
0.021752607077360153,
0.02013224922120571,
-0.014387448318302631,
0.040311072021722794,
0.040078651160001755,
0.030814696103334427,
0.03231707215309143,
0.001584001467563212,
0.0029665869660675526,
0.0576922632753849,
-0.039035044610500336,
-0.023798950016498566,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
-0.056330885738134384,
0.021752607077360153,
0.02013224922120571,
-0.014387448318302631,
0.040311072021722794,
0.040078651160001755,
0.030814696103334427,
0.03231707215309143,
0.001584001467563212,
0.0029665869660675526,
0.0576922632753849,
-0.039035044610500336,
-0.023798950016498566,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30810 | [
"Bug",
"Needs Investigation",
"free-threading",
"OS:Windows"
] | Windows free-threaded Python ValueError: concurrent send_bytes() calls are not supported
Noticed in [build log](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978/job/36933421850#step:5:2813). An automated issue was opened in https://github.com/scikit-learn/scikit-learn/issues/30801 and closed the n... | 30,810 | [
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https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
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0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
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0.06162891909480095,
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0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
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0.06162891909480095,
-0.04230784997344017,
0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
0.016711004078388214,
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0.06162891909480095,
-0.04230784997344017,
0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
0.016711004078388214,
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0.030829770490527153,
0.06162891909480095,
-0.04230784997344017,
0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
0.016711004078388214,
0.0731392651796341,
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0.030829770490527153,
0.06162891909480095,
-0.04230784997344017,
0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30808 | [
"New Feature",
"Metadata Routing"
] | Add metadata routing params support in the predict method of `BaggingClassifier/Regressor`
### Describe the workflow you want to enable
Hello! I'm trying to use metadata routing with `BaggingClassifier` and `BaggingRegressor` however it is implemented for the `fit` method, not the `predict` one. I am wondering if the... | 30,808 | [
0.016711004078388214,
0.0731392651796341,
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0.06162891909480095,
-0.04230784997344017,
0.06839... |
https://github.com/scikit-learn/scikit-learn/issues/30801 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Feb 10, 2025) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/13233133978)** (Feb 10, 2025)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/13255448684) on Feb 11... | 30,801 | [
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0.025465460494160652,
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0.085... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
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0.042585041373968124,
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0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
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0.09828479588031769,
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0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
-0.040527164936065674,
0.09828479588031769,
0.017574060708284378,
0.043260619044303894,
0.04472573101520538,
0.014680749736726284,
-0.03537484258413315,
0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
-0.040527164936065674,
0.09828479588031769,
0.017574060708284378,
0.043260619044303894,
0.04472573101520538,
0.014680749736726284,
-0.03537484258413315,
0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
-0.040527164936065674,
0.09828479588031769,
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0.043260619044303894,
0.04472573101520538,
0.014680749736726284,
-0.03537484258413315,
0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
-0.040527164936065674,
0.09828479588031769,
0.017574060708284378,
0.043260619044303894,
0.04472573101520538,
0.014680749736726284,
-0.03537484258413315,
0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30785 | [
"Bug",
"Needs Investigation"
] | SequentialFeatureSelector fails on text features even though the estimator supports them
### Describe the bug
When a model can handle the data type (may it be text or NaN), `SequentialFeatureSelector` appears to be performing its own validation ignoring the capability of the model and apparently always insists that e... | 30,785 | [
0.025321273133158684,
0.016518402844667435,
0.03555621951818466,
-0.040527164936065674,
0.09828479588031769,
0.017574060708284378,
0.043260619044303894,
0.04472573101520538,
0.014680749736726284,
-0.03537484258413315,
0.042585041373968124,
-0.028517428785562515,
0.028529580682516098,
0.087... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30782 | [
"Bug"
] | _py_sort() returns ValueError on windows with numpy 1.26.4 but works correctly with numpy 2.x
### Describe the bug
_py_sort() returns ValueError with numpy 1.26.4 but works correctly with numpy 2.x. I have created 2 different conda envs with different numpy versions from conda-forge:
```
conda create -n numpy_1.26.4 ... | 30,782 | [
0.011401105672121048,
0.031137874349951744,
0.009793149307370186,
0.008269041776657104,
0.05681290104985237,
0.02270948886871338,
0.0161913949996233,
0.06756947934627533,
-0.02130156196653843,
-0.03478251397609711,
0.014107588678598404,
-0.009181409142911434,
0.021743863821029663,
0.009880... |
https://github.com/scikit-learn/scikit-learn/issues/30781 | [
"Bug",
"Needs Triage"
] | `median_absolute_error` fails `test_regression_sample_weight_invariance`
### Describe the bug
`sample_weights` was added to `median_absolute_error` in 0.24 but `median_absolute_error` was not removed from `METRICS_WITHOUT_SAMPLE_WEIGHT`.
(Noticed while trying to fix an unrelated problem in `median_absolute_error`)
... | 30,781 | [
-0.005325991194695234,
0.0126423891633749,
0.014371567405760288,
-0.016488026827573776,
0.09929092973470688,
0.026528798043727875,
0.025224775075912476,
0.07198431342840195,
-0.00814860314130783,
0.02256472222507,
0.08305757492780685,
0.006479277275502682,
-0.02545296400785446,
-0.08671946... |
https://github.com/scikit-learn/scikit-learn/issues/30774 | [
"Bug",
"Documentation"
] | Deprecation message of check_estimator does not point to the right replacement
See here
https://github.com/scikit-learn/scikit-learn/blob/e25e8e2119ab6c5aa5072b05c0eb60b10aee4b05/sklearn/utils/estimator_checks.py#L836
I believe it should point to `sklearn.utils.estimator_checks.estimator_checks_generator` as suggest... | 30,774 | [
0.020820287987589836,
0.049371276050806046,
0.02737521380186081,
-0.027295289561152458,
0.04151804372668266,
0.030755463987588882,
0.02716561034321785,
0.031709082424640656,
0.056665439158678055,
-0.004654148127883673,
0.08382679522037506,
0.07247106730937958,
0.0189514197409153,
-0.022000... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30772 | [
"Bug",
"Needs Investigation"
] | Wrong Mutual Information Calculation
### Describe the bug
#### Issue
I encountered a bug unexpectedly while reviewing some metrics in a project.
When calculating mutual information using the `mutual_info_classif`, I noticed values higher than entropy, which is [impossible](https://en.wikipedia.org/wiki/Mutual_informa... | 30,772 | [
-0.007268648128956556,
-0.006741164717823267,
0.03501072898507118,
0.021824117749929428,
0.030416468158364296,
0.012792693451046944,
-0.014317447319626808,
0.02105320245027542,
-0.034347813576459885,
-0.04932136833667755,
-0.00805017538368702,
0.020118825137615204,
0.044647153466939926,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 | [
0.04416676238179207,
0.015408478677272797,
0.03397483378648758,
-0.006154890637844801,
0.061870235949754715,
-0.005899445153772831,
0.045585159212350845,
0.05392615497112274,
0.04814174398779869,
-0.019197572022676468,
0.056129150092601776,
0.09807708114385605,
-0.014028755947947502,
-0.01... |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 | [
0.04416676238179207,
0.015408478677272797,
0.03397483378648758,
-0.006154890637844801,
0.061870235949754715,
-0.005899445153772831,
0.045585159212350845,
0.05392615497112274,
0.04814174398779869,
-0.019197572022676468,
0.056129150092601776,
0.09807708114385605,
-0.014028755947947502,
-0.01... |
https://github.com/scikit-learn/scikit-learn/issues/30770 | [
"Bug"
] | Issue with binary classifiers in _check_sample_weight_equivalence?
### Describe the bug
Hello, I tried to make my custom binary classifier pass the estimator checks with scikit-learn 1.6. The sample weight equivalence properties worked on <1.5 and not 1.6.
I think the issue is related to how the binary tag is enforc... | 30,770 | [
0.04416676238179207,
0.015408478677272797,
0.03397483378648758,
-0.006154890637844801,
0.061870235949754715,
-0.005899445153772831,
0.045585159212350845,
0.05392615497112274,
0.04814174398779869,
-0.019197572022676468,
0.056129150092601776,
0.09807708114385605,
-0.014028755947947502,
-0.01... |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 | [
0.007584662642329931,
0.010528274811804295,
0.004520564805716276,
0.0005212277173995972,
0.007017095573246479,
-0.014610198326408863,
0.04138295352458954,
0.014139020815491676,
0.012520954012870789,
0.02026997320353985,
0.01931534893810749,
0.05692148953676224,
0.030931023880839348,
0.0702... |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 | [
0.0075109656900167465,
0.007224398199468851,
-0.0012487514177337289,
0.0031309982296079397,
0.011780805885791779,
-0.013830128125846386,
0.04137653112411499,
0.016125967726111412,
0.007405529264360666,
0.016649480909109116,
0.01899721659719944,
0.056698594242334366,
0.035290610045194626,
0... |
https://github.com/scikit-learn/scikit-learn/issues/30767 | [
"Documentation"
] | DOC Add `from_predictions` example to `visualizations.rst`
Noticed that the `visualizations.rst` page (https://scikit-learn.org/dev/visualizations.html) could be improved while working on #30399
* We should clarify that both `from_estimator` and `from_predictions` return the display object
* Describe the purpose of t... | 30,767 | [
0.0008361319196410477,
0.004765598569065332,
0.004210290964692831,
0.004073280841112137,
0.005881191696971655,
-0.0161649938672781,
0.041037462651729584,
0.012847083620727062,
0.018673134967684746,
0.02772296592593193,
0.016635775566101074,
0.06129411607980728,
0.0293104350566864,
0.073274... |
https://github.com/scikit-learn/scikit-learn/issues/30766 | [
"good first issue"
] | Update project metadata to avoid using the deprecated way to declare the license.
Once https://github.com/scikit-learn/scikit-learn/pull/30746#pullrequestreview-2590397434 is merged, it should be possible to use the new standardized way to declare the licensing information in our `pyproject.toml` file. See:
https://p... | 30,766 | [
0.02219386398792267,
0.034194622188806534,
0.03623761236667633,
-0.03360089287161827,
0.05435601621866226,
0.03100043535232544,
0.072651706635952,
-0.0020416013430804014,
0.0541294664144516,
-0.02853701263666153,
-0.002498181536793709,
0.11138303577899933,
-0.019880419597029686,
0.00026243... |
https://github.com/scikit-learn/scikit-learn/issues/30762 | [
"Bug",
"Documentation"
] | DOC JupyterLite link _query_package() got multiple values for argument 'index_urls'
Clicking on the Jupyterlite button of [this example](https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html#sphx-glr-download-auto-examples-release-highlights-plot-release-highlights-1-5-0-p... | 30,762 | [
0.09436055272817612,
0.037697989493608475,
-0.010470225475728512,
-0.048756200820207596,
0.05238604545593262,
0.05308913812041283,
0.06596866250038147,
0.0836939811706543,
0.0013205832801759243,
-0.022245347499847412,
-0.046464864164590836,
0.02125568315386772,
0.005162830464541912,
0.0214... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30761 | [
"Build / CI"
] | Intermittent HTTP 403 on fetch_california_housing and other Figshare hosted data on Azure CI
Already noticed in https://github.com/scikit-learn/scikit-learn/pull/30636#issuecomment-2604425878.
This seems to happen from time to time in doctests ([build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/result... | 30,761 | [
0.012938341125845909,
0.07310691475868225,
0.005639990326017141,
-0.016286231577396393,
0.0409969724714756,
0.023533431813120842,
-0.0018782392144203186,
0.05242452397942543,
-0.02003505825996399,
0.028829598799347878,
-0.03152617812156677,
-0.02071811817586422,
0.03269147872924805,
0.0269... |
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