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/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32556 | [
"module:metrics"
] | Weighted MAPE behaviour on 0
### Describe the workflow you want to enable
Hello,
I create this ticket because I realized unexpected behaviour for Weighted MAPE when you weight for the real values and those values are 0.
By the formula:
<img width="217" height="73" alt="Image" src="https://github.com/user-attachmen... | 32,556 | [
-0.033845145255327225,
0.01120147854089737,
0.026249775663018227,
0.012089171446859837,
0.06214878708124161,
-0.01523036789149046,
0.05150856077671051,
0.01158691756427288,
0.027031337842345238,
-0.012287221848964691,
0.01646549440920353,
0.010143746621906757,
0.008269228972494602,
0.00608... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32552 | [
"Bug",
"Needs Triage",
"Array API"
] | Array API test failure for probabilistic metrics with scipy==1.15.0
### Describe the bug
In #32422 we have introduced array API for probabilistic metrics and added a test (test_probabilistic_metrics_multilabel_array_api).
I had this test failing locally with scipy==1.15.0 for `array-api-strict` arrays on `log_loss` ... | 32,552 | [
-0.023311417549848557,
0.03570423275232315,
0.02055775746703148,
-0.015355614013969898,
0.06785333156585693,
0.003916201647371054,
0.02209659107029438,
0.0814603865146637,
0.049108389765024185,
-0.014383657835423946,
0.01881137304008007,
0.017117192968726158,
-0.03243575245141983,
0.016471... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
0.02581488899886608,
-0.010390345938503742,
-0.009324908256530762,
-0.008667095564305782,
0.008460504934191704,
0.014613887295126915,
0.05236231908202171,
-0.008691919036209583,
-0.005607156548649073,
-0.01014599110931158,
0.08604215085506439,
-0.009643233381211758,
-0.007806528825312853,
... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
-0.0004188536258880049,
0.019065190106630325,
-0.0017554382793605328,
-0.028086643666028976,
0.01972023956477642,
0.005315100774168968,
0.06621582061052322,
-0.0011613148963078856,
-0.005565197207033634,
0.005303972400724888,
0.07019025087356567,
0.014348690398037434,
-0.02185165509581566,
... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
0.009312896057963371,
-0.0033466615714132786,
-0.008742713369429111,
-0.014058415777981281,
0.016613665968179703,
0.012593753635883331,
0.056894488632678986,
0.0039027617312967777,
-0.00473270146176219,
-0.014101249165832996,
0.09047133475542068,
0.007104142569005489,
0.00006967862282181159,... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
0.019429383799433708,
0.006575438193976879,
-0.003445180132985115,
-0.014139560982584953,
-0.004247230477631092,
0.020313795655965805,
0.03844549506902695,
0.0021073552779853344,
-0.016552554443478584,
-0.020528431981801987,
0.08472196757793427,
0.022389397025108337,
-0.0065328748896718025,
... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
0.009837273508310318,
-0.0062776305712759495,
-0.0007575257332064211,
-0.008315435610711575,
0.011303350329399109,
0.009103668853640556,
0.03677776828408241,
0.013801591470837593,
-0.010229848325252533,
-0.019099419936537743,
0.096713587641716,
0.009889297187328339,
0.0040125311352312565,
... |
https://github.com/scikit-learn/scikit-learn/issues/32551 | [
"Documentation"
] | DOC all random seeds commit message
### Describe the issue linked to the documentation
I wanted to reference the [all random seeds] commit message in the developer guide, which is very useful when contributing a test depending on `global_random_seed`, but it isn't documented in https://scikit-learn.org/dev/developers... | 32,551 | [
0.013627266511321068,
0.006829363293945789,
-0.010859173722565174,
-0.005137330386787653,
0.012634792365133762,
0.005563517101109028,
0.06952065229415894,
-0.0027245325036346912,
-0.004304685164242983,
-0.02193896472454071,
0.08399900048971176,
0.0008519681869074702,
0.009120170958340168,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
0.017950361594557762,
0.037450868636369705,
0.023355571553111076,
0.004997424781322479,
0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
0.017950361594557762,
0.037450868636369705,
0.023355571553111076,
0.004997424781322479,
0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
0.017950361594557762,
0.037450868636369705,
0.023355571553111076,
0.004997424781322479,
0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
0.017950361594557762,
0.037450868636369705,
0.023355571553111076,
0.004997424781322479,
0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
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0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
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0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
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0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
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0.037450868636369705,
0.023355571553111076,
0.004997424781322479,
0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32526 | [
"Build / CI"
] | Investigate using abi3 wheels (Stable ABI + limited C API)
Copying and pasting relevant info from https://github.com/scipy/scipy/issues/23791 (thanks @rgommers for the initial write-up and super detailed info).
It looks like this could "just work" for us so worth a try. The attraction of that is that it will allow bu... | 32,526 | [
-0.0018166921800002456,
0.048374004662036896,
-0.02626297064125538,
-0.037813957780599594,
-0.009045780636370182,
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0.037450868636369705,
0.023355571553111076,
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0.013407985679805279,
0.052135493606328964,
0.015830807387828827,
-0.02781517058610916,
... |
https://github.com/scikit-learn/scikit-learn/issues/32519 | [
"Documentation"
] | Add a changelog entry about free-theaded support in scikit-learn 1.8
To say that free-threaded is officially supported and Python 3.14 is probably better if you want to experiment with it.
I guess something similar to https://scikit-learn.org/stable/whats_new/v1.6.html#free-threaded-cpython-3-13-support
COMMENT:
We ... | 32,519 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/32519 | [
"Documentation"
] | Add a changelog entry about free-theaded support in scikit-learn 1.8
To say that free-threaded is officially supported and Python 3.14 is probably better if you want to experiment with it.
I guess something similar to https://scikit-learn.org/stable/whats_new/v1.6.html#free-threaded-cpython-3-13-support
COMMENT:
Hi,... | 32,519 | [
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0.027... |
https://github.com/scikit-learn/scikit-learn/issues/32519 | [
"Documentation"
] | Add a changelog entry about free-theaded support in scikit-learn 1.8
To say that free-threaded is officially supported and Python 3.14 is probably better if you want to experiment with it.
I guess something similar to https://scikit-learn.org/stable/whats_new/v1.6.html#free-threaded-cpython-3-13-support
COMMENT:
@og... | 32,519 | [
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0.025... |
https://github.com/scikit-learn/scikit-learn/issues/32519 | [
"Documentation"
] | Add a changelog entry about free-theaded support in scikit-learn 1.8
To say that free-threaded is officially supported and Python 3.14 is probably better if you want to experiment with it.
I guess something similar to https://scikit-learn.org/stable/whats_new/v1.6.html#free-threaded-cpython-3-13-support
COMMENT:
@ri... | 32,519 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/32517 | [
"Question"
] | groups parameter detected as missing in nested cross-validation with `GridSearchCV` and `cross_val_score`
### Describe the bug
In a nested cross-validation situation with grouped k-fold, the `groups` parameter is being reported as taking the value of `None` despite being provided.
### Steps/Code to Reproduce
``` py... | 32,517 | [
-0.0019495011074468493,
-0.019877444952726364,
0.023508431389927864,
0.039768800139427185,
0.08743433654308319,
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0.04010699316859245,
0.03479090332984924,
-... |
https://github.com/scikit-learn/scikit-learn/issues/32517 | [
"Question"
] | groups parameter detected as missing in nested cross-validation with `GridSearchCV` and `cross_val_score`
### Describe the bug
In a nested cross-validation situation with grouped k-fold, the `groups` parameter is being reported as taking the value of `None` despite being provided.
### Steps/Code to Reproduce
``` py... | 32,517 | [
-0.0019495011074468493,
-0.019877444952726364,
0.023508431389927864,
0.039768800139427185,
0.08743433654308319,
0.00025712078786455095,
0.04788760840892792,
0.026067283004522324,
0.009162531234323978,
-0.016576604917645454,
-0.024817198514938354,
0.04010699316859245,
0.03479090332984924,
-... |
https://github.com/scikit-learn/scikit-learn/issues/32517 | [
"Question"
] | groups parameter detected as missing in nested cross-validation with `GridSearchCV` and `cross_val_score`
### Describe the bug
In a nested cross-validation situation with grouped k-fold, the `groups` parameter is being reported as taking the value of `None` despite being provided.
### Steps/Code to Reproduce
``` py... | 32,517 | [
-0.0019495011074468493,
-0.019877444952726364,
0.023508431389927864,
0.039768800139427185,
0.08743433654308319,
0.00025712078786455095,
0.04788760840892792,
0.026067283004522324,
0.009162531234323978,
-0.016576604917645454,
-0.024817198514938354,
0.04010699316859245,
0.03479090332984924,
-... |
https://github.com/scikit-learn/scikit-learn/issues/32516 | [
"Documentation"
] | DOC Add documentation on how to disable the DevContainer popups in VSCode
One for @DeaMariaLeon [^1] when you manage to figure out how to remove these annoying popups
[^1]: oops pinged the wrong Dea originally 😅 ...
There seems to be two related popups:
- install Dev Containers extension (I probably had it installe... | 32,516 | [
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0.009277590550482273,
0.014251640066504478,
0.010... |
https://github.com/scikit-learn/scikit-learn/issues/32516 | [
"Documentation"
] | DOC Add documentation on how to disable the DevContainer popups in VSCode
One for @DeaMariaLeon [^1] when you manage to figure out how to remove these annoying popups
[^1]: oops pinged the wrong Dea originally 😅 ...
There seems to be two related popups:
- install Dev Containers extension (I probably had it installe... | 32,516 | [
-0.01831437088549137,
0.051357533782720566,
-0.024253951385617256,
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0.02884243056178093,
0.022... |
https://github.com/scikit-learn/scikit-learn/issues/32516 | [
"Documentation"
] | DOC Add documentation on how to disable the DevContainer popups in VSCode
One for @DeaMariaLeon [^1] when you manage to figure out how to remove these annoying popups
[^1]: oops pinged the wrong Dea originally 😅 ...
There seems to be two related popups:
- install Dev Containers extension (I probably had it installe... | 32,516 | [
-0.0332941859960556,
0.0276030283421278,
-0.04487195983529091,
-0.06787999719381332,
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0.02425742708146572,
0.02816418558359146,
0.012674705125391483,
0.0076545835472643375,
0.0254538... |
https://github.com/scikit-learn/scikit-learn/issues/32516 | [
"Documentation"
] | DOC Add documentation on how to disable the DevContainer popups in VSCode
One for @DeaMariaLeon [^1] when you manage to figure out how to remove these annoying popups
[^1]: oops pinged the wrong Dea originally 😅 ...
There seems to be two related popups:
- install Dev Containers extension (I probably had it installe... | 32,516 | [
-0.02908775955438614,
0.0283175241202116,
-0.03763451799750328,
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0.007128084544092417,
0.0016913091531023383,
0.03... |
https://github.com/scikit-learn/scikit-learn/issues/32513 | [
"Bug"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 17, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81313&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 17, 2025)
- test_pandas_arff_parser_... | 32,513 | [
0.007976696826517582,
0.039168741554021835,
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0.03961503133177757,
0.06783512234687805,
-0.012253531254827976,
0.06733... |
https://github.com/scikit-learn/scikit-learn/issues/32513 | [
"Bug"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 17, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81313&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 17, 2025)
- test_pandas_arff_parser_... | 32,513 | [
0.007976696826517582,
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0.03961503133177757,
0.06783512234687805,
-0.012253531254827976,
0.06733... |
https://github.com/scikit-learn/scikit-learn/issues/32513 | [
"Bug"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Oct 17, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=81313&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Oct 17, 2025)
- test_pandas_arff_parser_... | 32,513 | [
0.007976696826517582,
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0.03961503133177757,
0.06783512234687805,
-0.012253531254827976,
0.06733... |
https://github.com/scikit-learn/scikit-learn/issues/32512 | [
"Bug",
"Needs Triage"
] | is_classifier() returns False for Custom Classifier
### Describe the bug
`is_classifier()` should return True for an instance of a custom classifier.
### Steps/Code to Reproduce
```python
from sklearn.base import BaseEstimator, ClassifierMixin, is_classifier
from sklearn import __version__ as sklearn_version
# A m... | 32,512 | [
0.0005481216358020902,
-0.010826720856130123,
0.021465977653861046,
0.028276726603507996,
0.0648440271615982,
-0.0314536951482296,
0.0319143682718277,
0.02320655807852745,
0.04876082018017769,
-0.011878259479999542,
0.04338851571083069,
0.046615682542324066,
-0.0031098825857043266,
-0.0080... |
https://github.com/scikit-learn/scikit-learn/issues/32512 | [
"Bug",
"Needs Triage"
] | is_classifier() returns False for Custom Classifier
### Describe the bug
`is_classifier()` should return True for an instance of a custom classifier.
### Steps/Code to Reproduce
```python
from sklearn.base import BaseEstimator, ClassifierMixin, is_classifier
from sklearn import __version__ as sklearn_version
# A m... | 32,512 | [
0.0005481216358020902,
-0.010826720856130123,
0.021465977653861046,
0.028276726603507996,
0.0648440271615982,
-0.0314536951482296,
0.0319143682718277,
0.02320655807852745,
0.04876082018017769,
-0.011878259479999542,
0.04338851571083069,
0.046615682542324066,
-0.0031098825857043266,
-0.0080... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.07236626744270325,
-0.03205675259232521,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.07206190377473831,
-0.03160824999213219,
... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.021546239033341408,
-0.018705761060118675,
0.01902754046022892,
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-0.03234481066465378,
0.0070... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.013604795560240746,
-0.014131606556475163,
0.014929872006177902,
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0.03932677581906319,
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-0.03590250015258789,
0.025132963433861732,
0.06562891602516174,
-0.031147733330726624,
... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.017081771045923233,
-0.01696980744600296,
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0.02082774043083191,
0.07546299695968628,
-0.03375893831253052,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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0.022382918745279312,
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0.0055... |
https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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https://github.com/scikit-learn/scikit-learn/issues/32508 | [
"cython"
] | MNT Check the variable initialization in Cython pxd files
So it turns out variable initialization in pxd files doesn't do anything see https://github.com/scikit-learn/scikit-learn/pull/32259#issuecomment-3337478228.
It would be good to check that we are not doing it in other places than the ones we have already fixed... | 32,508 | [
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https://github.com/scikit-learn/scikit-learn/issues/32503 | [
"Documentation"
] | Unclear if multiple cores are used in MiniBatchKMeans
### Describe the issue linked to the documentation
Currently, the documentation states the following when describing the batch size:
> Size of the mini batches. For faster computations, you can set the batch_size greater than 256 * number of cores to enable para... | 32,503 | [
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https://github.com/scikit-learn/scikit-learn/issues/32503 | [
"Documentation"
] | Unclear if multiple cores are used in MiniBatchKMeans
### Describe the issue linked to the documentation
Currently, the documentation states the following when describing the batch size:
> Size of the mini batches. For faster computations, you can set the batch_size greater than 256 * number of cores to enable para... | 32,503 | [
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https://github.com/scikit-learn/scikit-learn/issues/32503 | [
"Documentation"
] | Unclear if multiple cores are used in MiniBatchKMeans
### Describe the issue linked to the documentation
Currently, the documentation states the following when describing the batch size:
> Size of the mini batches. For faster computations, you can set the batch_size greater than 256 * number of cores to enable para... | 32,503 | [
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https://github.com/scikit-learn/scikit-learn/issues/32503 | [
"Documentation"
] | Unclear if multiple cores are used in MiniBatchKMeans
### Describe the issue linked to the documentation
Currently, the documentation states the following when describing the batch size:
> Size of the mini batches. For faster computations, you can set the batch_size greater than 256 * number of cores to enable para... | 32,503 | [
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https://github.com/scikit-learn/scikit-learn/issues/32503 | [
"Documentation"
] | Unclear if multiple cores are used in MiniBatchKMeans
### Describe the issue linked to the documentation
Currently, the documentation states the following when describing the batch size:
> Size of the mini batches. For faster computations, you can set the batch_size greater than 256 * number of cores to enable para... | 32,503 | [
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0.013160360977053642,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0.06... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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-0.04812433943152428... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/32500 | [
"Build / CI",
"help wanted"
] | Reuse the `pre-commit` linter config in the CI runners
At the moment, our CI runs linting jobs using a custom script `build_tools/lintin.sh` with manually pip installed dependencies in the Circle CI and Azure Pipelines CI configuration files.
Those linter tool versions are not always consistent with what we configure... | 32,500 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/32498 | [
"Build / CI"
] | `cython-lint` failure on `main`
The `main` branch and some PRs synchronized with it are now failing with the following `cython-lint` error:
```
/home/vsts/work/1/s/sklearn/cluster/_hdbscan/_tree.pyx:786:19: unnecessary set + generator (just use a set comprehension)
Problems detected by cython-lint, please fix them
``... | 32,498 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/32498 | [
"Build / CI"
] | `cython-lint` failure on `main`
The `main` branch and some PRs synchronized with it are now failing with the following `cython-lint` error:
```
/home/vsts/work/1/s/sklearn/cluster/_hdbscan/_tree.pyx:786:19: unnecessary set + generator (just use a set comprehension)
Problems detected by cython-lint, please fix them
``... | 32,498 | [
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https://github.com/scikit-learn/scikit-learn/issues/32498 | [
"Build / CI"
] | `cython-lint` failure on `main`
The `main` branch and some PRs synchronized with it are now failing with the following `cython-lint` error:
```
/home/vsts/work/1/s/sklearn/cluster/_hdbscan/_tree.pyx:786:19: unnecessary set + generator (just use a set comprehension)
Problems detected by cython-lint, please fix them
``... | 32,498 | [
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https://github.com/scikit-learn/scikit-learn/issues/32495 | [
"Bug"
] | Incorrect warning about data conversion when using `pairwise_distances_argmin` with `jaccard` and bool arrays
### Describe the bug
When using `pairwise_distances_argmin` with the `jaccard` metric, sklearn warns of data conversion even when both input arrays are of `dtype=np.bool`
### Steps/Code to Reproduce
```py... | 32,495 | [
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0.001921487390063703,
0.07497482001781464,
0.02507355809211731,
0... |
https://github.com/scikit-learn/scikit-learn/issues/32495 | [
"Bug"
] | Incorrect warning about data conversion when using `pairwise_distances_argmin` with `jaccard` and bool arrays
### Describe the bug
When using `pairwise_distances_argmin` with the `jaccard` metric, sklearn warns of data conversion even when both input arrays are of `dtype=np.bool`
### Steps/Code to Reproduce
```py... | 32,495 | [
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0.02507355809211731,
0... |
https://github.com/scikit-learn/scikit-learn/issues/32495 | [
"Bug"
] | Incorrect warning about data conversion when using `pairwise_distances_argmin` with `jaccard` and bool arrays
### Describe the bug
When using `pairwise_distances_argmin` with the `jaccard` metric, sklearn warns of data conversion even when both input arrays are of `dtype=np.bool`
### Steps/Code to Reproduce
```py... | 32,495 | [
-0.015593663789331913,
-0.00028123287484049797,
0.01824743114411831,
-0.00047297237324528396,
0.07546398043632507,
0.01228549424558878,
0.0551116019487381,
0.038365449756383896,
0.00040399417048320174,
-0.012502804398536682,
0.001921487390063703,
0.07497482001781464,
0.02507355809211731,
0... |
https://github.com/scikit-learn/scikit-learn/issues/32495 | [
"Bug"
] | Incorrect warning about data conversion when using `pairwise_distances_argmin` with `jaccard` and bool arrays
### Describe the bug
When using `pairwise_distances_argmin` with the `jaccard` metric, sklearn warns of data conversion even when both input arrays are of `dtype=np.bool`
### Steps/Code to Reproduce
```py... | 32,495 | [
-0.015593663789331913,
-0.00028123287484049797,
0.01824743114411831,
-0.00047297237324528396,
0.07546398043632507,
0.01228549424558878,
0.0551116019487381,
0.038365449756383896,
0.00040399417048320174,
-0.012502804398536682,
0.001921487390063703,
0.07497482001781464,
0.02507355809211731,
0... |
https://github.com/scikit-learn/scikit-learn/issues/32492 | [
"Build / CI",
"Low Priority",
"arch:arm",
"free-threading",
"OS:Windows"
] | CI Intermittent segmentation fault on Windows arm64 Wheels in Python 3.13 free-threaded (seems related to warnings being thread-unsafe)
From https://github.com/scikit-learn/scikit-learn/issues/32393#issuecomment-3370546706
Looking a bit at the stack-trace, this looks a bit similar to the kind of segmentation faults r... | 32,492 | [
-0.051580410450696945,
-0.038048192858695984,
-0.007072461768984795,
0.03485799580812454,
0.04186594486236572,
0.03079368732869625,
0.03088679350912571,
0.03778909519314766,
-0.048032812774181366,
-0.009180492721498013,
0.04328638315200806,
-0.0004997345968149602,
-0.03892748802900314,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/32492 | [
"Build / CI",
"Low Priority",
"arch:arm",
"free-threading",
"OS:Windows"
] | CI Intermittent segmentation fault on Windows arm64 Wheels in Python 3.13 free-threaded (seems related to warnings being thread-unsafe)
From https://github.com/scikit-learn/scikit-learn/issues/32393#issuecomment-3370546706
Looking a bit at the stack-trace, this looks a bit similar to the kind of segmentation faults r... | 32,492 | [
-0.051580410450696945,
-0.038048192858695984,
-0.007072461768984795,
0.03485799580812454,
0.04186594486236572,
0.03079368732869625,
0.03088679350912571,
0.03778909519314766,
-0.048032812774181366,
-0.009180492721498013,
0.04328638315200806,
-0.0004997345968149602,
-0.03892748802900314,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/32492 | [
"Build / CI",
"Low Priority",
"arch:arm",
"free-threading",
"OS:Windows"
] | CI Intermittent segmentation fault on Windows arm64 Wheels in Python 3.13 free-threaded (seems related to warnings being thread-unsafe)
From https://github.com/scikit-learn/scikit-learn/issues/32393#issuecomment-3370546706
Looking a bit at the stack-trace, this looks a bit similar to the kind of segmentation faults r... | 32,492 | [
-0.051580410450696945,
-0.038048192858695984,
-0.007072461768984795,
0.03485799580812454,
0.04186594486236572,
0.03079368732869625,
0.03088679350912571,
0.03778909519314766,
-0.048032812774181366,
-0.009180492721498013,
0.04328638315200806,
-0.0004997345968149602,
-0.03892748802900314,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
https://github.com/scikit-learn/scikit-learn/issues/32491 | [
"Build / CI",
"arch:arm",
"OS:Windows"
] | CI Intermittent segmentation fault in Windows arm64 wheels test (vanilla CPython)
It's been seen so far (October 13) in 2 runs over 13 runs (see [scheduled Wheels runs](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule)):
- Python 3.12 [build log](https://github.com/sciki... | 32,491 | [
-0.051557816565036774,
0.0051272776909172535,
-0.010144845582544804,
0.022955244407057762,
0.018363451585173607,
0.010830777697265148,
-0.0034759161062538624,
0.04548000171780586,
-0.05845404788851738,
-0.019887033849954605,
0.08681581914424896,
0.03330995514988899,
-0.023566635325551033,
... |
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