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/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
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0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
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0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
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0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
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0.020328551530838013,
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0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
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0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
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0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
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0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29293 | [
"Bug",
"Build / CI"
] | Nightly wheel upload has been broken for 11 days
https://anaconda.org/scientific-python-nightly-wheels/scikit-learn/files
Maybe the v3 -> v4 artifact update oh well :sweat: https://github.com/scikit-learn/s... | 29,293 | [
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https://github.com/scikit-learn/scikit-learn/issues/29292 | [
"Build / CI"
] | Add Python 3.13 development wheel
### Describe the workflow you want to enable
Based on #29280, building sklearn on Python 3.13 succeeds and running pytest also succeeds. I want to help enable building and uploading wheels supporting 3.13 on PyPI
### Describe your proposed solution
Since I'm very new in looking at ... | 29,292 | [
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0.018962351605296135,
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0.0758... |
https://github.com/scikit-learn/scikit-learn/issues/29292 | [
"Build / CI"
] | Add Python 3.13 development wheel
### Describe the workflow you want to enable
Based on #29280, building sklearn on Python 3.13 succeeds and running pytest also succeeds. I want to help enable building and uploading wheels supporting 3.13 on PyPI
### Describe your proposed solution
Since I'm very new in looking at ... | 29,292 | [
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0.020901206880807877,
-0.01191627886146307,
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0.01686580292880535,
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0.03909144923090935,
0.06599092483520508,
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0.06617... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
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-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
-0.03204887732863426,
-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
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-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
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-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
-0.03204887732863426,
-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
-0.03204887732863426,
-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29291 | [
"Bug",
"New Feature",
"Pandas compatibility"
] | `SimpleImputer` Fails with pyarrow String Types in sklearn
### Describe the bug
When using SimpleImputer from sklearn with pyarrow string types, the imputer fails with an error. This issue occurs when attempting to impute missing values in a DataFrame containing pyarrow string columns.
### Steps/Code to Reproduce
`... | 29,291 | [
0.01717335358262062,
0.016283467411994934,
0.015866214409470558,
-0.018756689503788948,
0.0821869969367981,
0.02090524509549141,
0.05806085839867592,
0.06247006356716156,
-0.03204887732863426,
-0.030236292630434036,
0.011026028543710709,
0.051595576107501984,
0.06756643950939178,
0.0220966... |
https://github.com/scikit-learn/scikit-learn/issues/29285 | [
"New Feature",
"Needs Decision"
] | Drop Duplicates from Data Before Fitting Estimator in RFE
### Describe the workflow you want to enable
Currently, RFE makes a slice of the data that only includes specific features. Then, RFE fits the provided estimator to that slice. Making a slice of the data reduces the number of possible variations that can be ... | 29,285 | [
-0.02255147509276867,
0.09879614412784576,
0.005775722675025463,
0.001518839504569769,
0.031394317746162415,
0.011123505420982838,
0.019986417144536972,
0.004566393326967955,
-0.012698384933173656,
0.007343561854213476,
-0.008588837459683418,
0.06200673431158066,
0.02437487058341503,
0.035... |
https://github.com/scikit-learn/scikit-learn/issues/29285 | [
"New Feature",
"Needs Decision"
] | Drop Duplicates from Data Before Fitting Estimator in RFE
### Describe the workflow you want to enable
Currently, RFE makes a slice of the data that only includes specific features. Then, RFE fits the provided estimator to that slice. Making a slice of the data reduces the number of possible variations that can be ... | 29,285 | [
-0.02255147509276867,
0.09879614412784576,
0.005775722675025463,
0.001518839504569769,
0.031394317746162415,
0.011123505420982838,
0.019986417144536972,
0.004566393326967955,
-0.012698384933173656,
0.007343561854213476,
-0.008588837459683418,
0.06200673431158066,
0.02437487058341503,
0.035... |
https://github.com/scikit-learn/scikit-learn/issues/29285 | [
"New Feature",
"Needs Decision"
] | Drop Duplicates from Data Before Fitting Estimator in RFE
### Describe the workflow you want to enable
Currently, RFE makes a slice of the data that only includes specific features. Then, RFE fits the provided estimator to that slice. Making a slice of the data reduces the number of possible variations that can be ... | 29,285 | [
-0.02255147509276867,
0.09879614412784576,
0.005775722675025463,
0.001518839504569769,
0.031394317746162415,
0.011123505420982838,
0.019986417144536972,
0.004566393326967955,
-0.012698384933173656,
0.007343561854213476,
-0.008588837459683418,
0.06200673431158066,
0.02437487058341503,
0.035... |
https://github.com/scikit-learn/scikit-learn/issues/29282 | [
"Documentation"
] | `linear_sum_assignment` no longer uses Hungarian method
### Describe the issue linked to the documentation
`consensus_score` on the docs is describing that the best match is found using the Hungarian method, but from what I can read, the SciPy implemantation is using the Jonker-Volgenant algorithm since v1.9 https://... | 29,282 | [
0.010384184308350086,
0.022928820922970772,
0.01643514074385166,
0.006796265486627817,
0.0005197056452743709,
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0.004337450955063105,
0.010432197712361813,
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0.021164381876587868,
0.05064896121621132,
0.03577238321304321,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29280 | [
"Bug",
"Needs Triage"
] | Unable to run code tests, both serial and parallel
### Describe the bug
Building with Python 3.13 and OpenMP-enabled scipy on Ubuntu succeeeds, but I am unable to run tests, parallel mode or not.
### Steps/Code to Reproduce
Using GitHub Codespaces:
1. Add the `deadsnakes/ppa`, install `python3.13-venv` and `libp... | 29,280 | [
-0.0018767244182527065,
-0.0013495980529114604,
-0.029015444219112396,
-0.029910337179899216,
0.018126558512449265,
0.04877568036317825,
0.04141995310783386,
0.048675376921892166,
-0.014353726990520954,
-0.03301381692290306,
0.0027309374418109655,
0.09546215832233429,
-0.019460514187812805,
... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29277 | [
"Bug",
"Regression"
] | GridSearchCV fails when parameters are arrays with different sizes
### Describe the bug
[`SplineTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html) accepts arrays for the `knots` argument to specify the positions of the knots.
Using [`GridSearchCV`](htt... | 29,277 | [
0.034550175070762634,
-0.013011482544243336,
0.004651761148124933,
0.003049132414162159,
0.03813610598444939,
-0.027795718982815742,
0.02172640524804592,
0.015682900324463844,
0.07237355411052704,
-0.02525879070162773,
0.03260866925120354,
0.05842254310846329,
0.0035312320105731487,
0.0283... |
https://github.com/scikit-learn/scikit-learn/issues/29271 | [
"Bug",
"Needs Triage"
] | COLAB fetch_20newsgroups gets 403 from https://ndownloader.figshare.com/files/5975967 but OK with browser
### Describe the bug
COLAB
```
fetch_20newsgroups (20news-bydate.tar.gz) gets 403 from https://ndownloader.figshare.com/files/5975967 [which is really https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/5... | 29,271 | [
0.05881676450371742,
-0.01086989976465702,
0.02399482950568199,
0.034700095653533936,
0.014259214513003826,
0.02647228166460991,
0.029007120057940483,
0.008775764144957066,
-0.0018660144414752722,
0.060948196798563004,
-0.07075055688619614,
-0.02085770294070244,
0.03116684965789318,
0.0182... |
https://github.com/scikit-learn/scikit-learn/issues/29271 | [
"Bug",
"Needs Triage"
] | COLAB fetch_20newsgroups gets 403 from https://ndownloader.figshare.com/files/5975967 but OK with browser
### Describe the bug
COLAB
```
fetch_20newsgroups (20news-bydate.tar.gz) gets 403 from https://ndownloader.figshare.com/files/5975967 [which is really https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/5... | 29,271 | [
0.05881676450371742,
-0.01086989976465702,
0.02399482950568199,
0.034700095653533936,
0.014259214513003826,
0.02647228166460991,
0.029007120057940483,
0.008775764144957066,
-0.0018660144414752722,
0.060948196798563004,
-0.07075055688619614,
-0.02085770294070244,
0.03116684965789318,
0.0182... |
https://github.com/scikit-learn/scikit-learn/issues/29271 | [
"Bug",
"Needs Triage"
] | COLAB fetch_20newsgroups gets 403 from https://ndownloader.figshare.com/files/5975967 but OK with browser
### Describe the bug
COLAB
```
fetch_20newsgroups (20news-bydate.tar.gz) gets 403 from https://ndownloader.figshare.com/files/5975967 [which is really https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/5... | 29,271 | [
0.05881676450371742,
-0.01086989976465702,
0.02399482950568199,
0.034700095653533936,
0.014259214513003826,
0.02647228166460991,
0.029007120057940483,
0.008775764144957066,
-0.0018660144414752722,
0.060948196798563004,
-0.07075055688619614,
-0.02085770294070244,
0.03116684965789318,
0.0182... |
https://github.com/scikit-learn/scikit-learn/issues/29271 | [
"Bug",
"Needs Triage"
] | COLAB fetch_20newsgroups gets 403 from https://ndownloader.figshare.com/files/5975967 but OK with browser
### Describe the bug
COLAB
```
fetch_20newsgroups (20news-bydate.tar.gz) gets 403 from https://ndownloader.figshare.com/files/5975967 [which is really https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/5... | 29,271 | [
0.05881676450371742,
-0.01086989976465702,
0.02399482950568199,
0.034700095653533936,
0.014259214513003826,
0.02647228166460991,
0.029007120057940483,
0.008775764144957066,
-0.0018660144414752722,
0.060948196798563004,
-0.07075055688619614,
-0.02085770294070244,
0.03116684965789318,
0.0182... |
https://github.com/scikit-learn/scikit-learn/issues/29271 | [
"Bug",
"Needs Triage"
] | COLAB fetch_20newsgroups gets 403 from https://ndownloader.figshare.com/files/5975967 but OK with browser
### Describe the bug
COLAB
```
fetch_20newsgroups (20news-bydate.tar.gz) gets 403 from https://ndownloader.figshare.com/files/5975967 [which is really https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/5... | 29,271 | [
0.05881676450371742,
-0.01086989976465702,
0.02399482950568199,
0.034700095653533936,
0.014259214513003826,
0.02647228166460991,
0.029007120057940483,
0.008775764144957066,
-0.0018660144414752722,
0.060948196798563004,
-0.07075055688619614,
-0.02085770294070244,
0.03116684965789318,
0.0182... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.037762731313705444,
-0.05676845833659172,
-0.011717258021235466,
0.0007558985380455852,
0.061587877571582794,
-0.0197604913264513,
0.05649764463305473,
0.05276843532919884,
0.00182225345633924,
0.0181135106831789,
0.014036992564797401,
0.00018784090934786946,
-0.02212832123041153,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.023671027272939682,
-0.030860261991620064,
-0.01245724968612194,
-0.03287576138973236,
0.04852155223488808,
0.016438083723187447,
0.035443056374788284,
0.05813805013895035,
0.010033284313976765,
-0.009617142379283905,
0.03913171589374542,
-0.010160300880670547,
-0.026671452447772026,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.04428379237651825,
-0.03506879508495331,
-0.02350279688835144,
-0.013364134356379509,
0.032630451023578644,
-0.00781879760324955,
0.05426585674285889,
0.033381108194589615,
0.026772208511829376,
0.02126537635922432,
0.03389729931950569,
0.03739199787378311,
-0.021146317943930626,
0.0108... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.03352946788072586,
-0.022130975499749184,
-0.018256690353155136,
-0.04312839359045029,
0.023742087185382843,
0.014111023396253586,
0.03451576828956604,
0.04012160748243332,
0.006090494804084301,
0.013700977899134159,
0.03876814991235733,
0.015829190611839294,
-0.013004318810999393,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.041381753981113434,
-0.05428957939147949,
0.0005454877973534167,
-0.0031108784023672342,
0.020784147083759308,
-0.024385599419474602,
0.05081881582736969,
0.00824548490345478,
0.014664947986602783,
0.03519517555832863,
0.03614256531000137,
0.030644578859210014,
0.004992904141545296,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.02336028777062893,
-0.0649387389421463,
-0.012400622479617596,
-0.012430635280907154,
0.036430731415748596,
0.01567932590842247,
0.04343763738870621,
0.02908463403582573,
0.05122765153646469,
0.004976991098374128,
0.032375115901231766,
0.0299940574914217,
-0.00239480659365654,
0.0278088... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
0.011335826478898525,
-0.02422276698052883,
-0.0195721834897995,
-0.03981206193566322,
0.0509958416223526,
0.01294797845184803,
0.011957639828324318,
-0.002757046604529023,
0.008419525809586048,
0.0031291418708860874,
0.04682903364300728,
0.026974979788064957,
-0.010473575443029404,
0.0453... |
https://github.com/scikit-learn/scikit-learn/issues/29253 | [
"Build / CI"
] | ⚠️ CI failed on Linux_free_threaded.pylatest_pip_free_threaded (last failure: Jun 14, 2024) ⚠️
**CI failed on [Linux_free_threaded.pylatest_pip_free_threaded](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67539&view=logs&j=8bc43b48-889f-54b9-cd8b-781ee8447bf2)** (Jun 14, 2024)
- test_minibatch... | 29,253 | [
-0.015629714354872704,
0.00006061277599656023,
-0.022564932703971863,
-0.043730031698942184,
0.057130828499794006,
0.016745969653129578,
0.007079239934682846,
0.002019178355112672,
-0.003257929114624858,
-0.015095426701009274,
0.04185592010617256,
0.03334515169262886,
-0.04221894219517708,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29252 | [
"Bug"
] | [BUG] `roc_auc_score` is wrong (edge case)
### Describe the bug
Hi,
It seems that on the edge case when there are equal scores, [`roc_auc_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#roc-auc-score) actually makes a wrong comuptation:
```pycon
>>> roc_auc_score([1... | 29,252 | [
-0.005286060273647308,
-0.018184658139944077,
0.003627123311161995,
0.04162866622209549,
0.04540398716926575,
-0.017549745738506317,
-0.0033173963893204927,
-0.012528762221336365,
-0.018945466727018356,
-0.0006184480735100806,
0.03263884410262108,
0.029360031709074974,
0.035382721573114395,
... |
https://github.com/scikit-learn/scikit-learn/issues/29248 | [
"Bug"
] | ElasticNetCV does not handle sample weights as expected
### Describe the bug
It seems that the _alpha_grid computations ignore sample weights and as a result the model coefficients do not match after fitting on two versions of the same data, one with weighted samples and the other with repeated samples.
### Steps/Co... | 29,248 | [
0.0012657111510634422,
0.015934493392705917,
0.0024549290537834167,
0.01406137179583311,
0.06915297359228134,
-0.023019572719931602,
0.029277659952640533,
0.003822497557848692,
0.03517482802271843,
0.019993426278233528,
0.03399539366364479,
0.05129563435912132,
0.013076822273433208,
-0.046... |
https://github.com/scikit-learn/scikit-learn/issues/29248 | [
"Bug"
] | ElasticNetCV does not handle sample weights as expected
### Describe the bug
It seems that the _alpha_grid computations ignore sample weights and as a result the model coefficients do not match after fitting on two versions of the same data, one with weighted samples and the other with repeated samples.
### Steps/Co... | 29,248 | [
0.0012657111510634422,
0.015934493392705917,
0.0024549290537834167,
0.01406137179583311,
0.06915297359228134,
-0.023019572719931602,
0.029277659952640533,
0.003822497557848692,
0.03517482802271843,
0.019993426278233528,
0.03399539366364479,
0.05129563435912132,
0.013076822273433208,
-0.046... |
https://github.com/scikit-learn/scikit-learn/issues/29248 | [
"Bug"
] | ElasticNetCV does not handle sample weights as expected
### Describe the bug
It seems that the _alpha_grid computations ignore sample weights and as a result the model coefficients do not match after fitting on two versions of the same data, one with weighted samples and the other with repeated samples.
### Steps/Co... | 29,248 | [
0.0012657111510634422,
0.015934493392705917,
0.0024549290537834167,
0.01406137179583311,
0.06915297359228134,
-0.023019572719931602,
0.029277659952640533,
0.003822497557848692,
0.03517482802271843,
0.019993426278233528,
0.03399539366364479,
0.05129563435912132,
0.013076822273433208,
-0.046... |
https://github.com/scikit-learn/scikit-learn/issues/29248 | [
"Bug"
] | ElasticNetCV does not handle sample weights as expected
### Describe the bug
It seems that the _alpha_grid computations ignore sample weights and as a result the model coefficients do not match after fitting on two versions of the same data, one with weighted samples and the other with repeated samples.
### Steps/Co... | 29,248 | [
0.0012657111510634422,
0.015934493392705917,
0.0024549290537834167,
0.01406137179583311,
0.06915297359228134,
-0.023019572719931602,
0.029277659952640533,
0.003822497557848692,
0.03517482802271843,
0.019993426278233528,
0.03399539366364479,
0.05129563435912132,
0.013076822273433208,
-0.046... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
`OSError: GetModuleFileNameEx failed` coming from threadpoolctl on Windows Python 3.12, see [build log](https://github.com/scikit... | 29,244 | [
-0.04432515427470207,
0.020198648795485497,
-0.02784317545592785,
-0.030320102348923683,
0.02867693454027176,
0.04047602042555809,
0.01376278791576624,
0.044938743114471436,
-0.036729563027620316,
0.016211019828915596,
0.03459397703409195,
0.03029768168926239,
-0.028282994404435158,
-0.009... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
I've never seen this function fail. If it's confirmed it will be a fun debugging because it's 60 lines of system level windows sp... | 29,244 | [
-0.04483874887228012,
0.020640211179852486,
-0.013013112358748913,
0.011778249405324459,
0.015285728499293327,
0.024897819384932518,
0.023174624890089035,
0.02264747954905033,
-0.025217300280928612,
0.012587683275341988,
0.08503691852092743,
0.03465123474597931,
-0.010559768415987492,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
Let's hope it was a glitch of some sort :wink:. Edit, looks like it was since the tests have started running: https://github.com/... | 29,244 | [
-0.06533753871917725,
0.025197023525834084,
-0.027619751170277596,
0.005385223310440779,
-0.00372374732978642,
0.032988689839839935,
0.029588183388113976,
0.04434112086892128,
0.011825489811599255,
0.00440204655751586,
0.0690133199095726,
0.0018413647776469588,
-0.03139464184641838,
0.0186... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
> I have noticed that dlllist uses ctypes.get_last_error() to maybe give a bit more details (probably quite cryptic) when these f... | 29,244 | [
-0.06223995238542557,
0.019975971430540085,
-0.02209874615073204,
0.01015153992921114,
-0.001919621485285461,
0.03724822402000427,
0.014189615845680237,
0.040178705006837845,
0.010476751253008842,
-0.0030632074922323227,
0.06172733008861542,
0.0060956114903092384,
-0.029113391414284706,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666) on Jun 13, ... | 29,244 | [
-0.034378789365291595,
0.04846132546663284,
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0.01220565102994442,
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0.03433495759963989,
0.08549521118402481,
0.02635575272142887,
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0.07963... |
https://github.com/scikit-learn/scikit-learn/issues/29244 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 13, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9493360666)** (Jun 13, 2024)
COMMENT:
The last CI run was fine, so it looks like this was some kind of temporary glitch ... | 29,244 | [
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0.022822462022304535,
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0.014974523335695267,
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0.06... |
https://github.com/scikit-learn/scikit-learn/issues/29241 | [
"Bug"
] | `_BaseEncoder` with boolean `categories_` that include `nan` fails on `transform` when `X` is boolean
### Describe the bug
An `Encoder` that was fitted on a `DataFrame` with boolean columns that include `NaN` will fail when transforming a boolean `X` due to a mismatch in the `dtype`s when calling `_check_unknown`. Si... | 29,241 | [
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0.04797957465052605,
0.030703600496053696,
0.05626... |
https://github.com/scikit-learn/scikit-learn/issues/29241 | [
"Bug"
] | `_BaseEncoder` with boolean `categories_` that include `nan` fails on `transform` when `X` is boolean
### Describe the bug
An `Encoder` that was fitted on a `DataFrame` with boolean columns that include `NaN` will fail when transforming a boolean `X` due to a mismatch in the `dtype`s when calling `_check_unknown`. Si... | 29,241 | [
-0.011813520453870296,
0.07079505175352097,
0.030871469527482986,
-0.015586202032864094,
0.09697803109884262,
0.04142865911126137,
0.015820201486349106,
0.05459124967455864,
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-0.03712969273328781,
0.02600569650530815,
0.04797957465052605,
0.030703600496053696,
0.05626... |
https://github.com/scikit-learn/scikit-learn/issues/29241 | [
"Bug"
] | `_BaseEncoder` with boolean `categories_` that include `nan` fails on `transform` when `X` is boolean
### Describe the bug
An `Encoder` that was fitted on a `DataFrame` with boolean columns that include `NaN` will fail when transforming a boolean `X` due to a mismatch in the `dtype`s when calling `_check_unknown`. Si... | 29,241 | [
-0.011813520453870296,
0.07079505175352097,
0.030871469527482986,
-0.015586202032864094,
0.09697803109884262,
0.04142865911126137,
0.015820201486349106,
0.05459124967455864,
-0.058633629232645035,
-0.03712969273328781,
0.02600569650530815,
0.04797957465052605,
0.030703600496053696,
0.05626... |
https://github.com/scikit-learn/scikit-learn/issues/29241 | [
"Bug"
] | `_BaseEncoder` with boolean `categories_` that include `nan` fails on `transform` when `X` is boolean
### Describe the bug
An `Encoder` that was fitted on a `DataFrame` with boolean columns that include `NaN` will fail when transforming a boolean `X` due to a mismatch in the `dtype`s when calling `_check_unknown`. Si... | 29,241 | [
-0.011813520453870296,
0.07079505175352097,
0.030871469527482986,
-0.015586202032864094,
0.09697803109884262,
0.04142865911126137,
0.015820201486349106,
0.05459124967455864,
-0.058633629232645035,
-0.03712969273328781,
0.02600569650530815,
0.04797957465052605,
0.030703600496053696,
0.05626... |
https://github.com/scikit-learn/scikit-learn/issues/29229 | [
"Bug",
"Performance",
"Regression"
] | Performance Regression in scikit-learn 1.5.0: Execution Time for ColumnTransformer Scales Quadratically with the Number of Transformers when n_jobs > 1
### Describe the bug
After upgrading to scikit-learn 1.5.0, we observed a significant performance regression in the ColumnTransformer when using `n_jobs > 1`. The i... | 29,229 | [
-0.02876315452158451,
0.04851680248975754,
0.01691479980945587,
-0.002409214386716485,
0.004249797202646732,
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0.03567209467291832,
0.05190997198224068,
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-0.01416103821247816,
0.04755224660038948,
0.006211136467754841,
-0.013478649780154228,
0.039... |
https://github.com/scikit-learn/scikit-learn/issues/29229 | [
"Bug",
"Performance",
"Regression"
] | Performance Regression in scikit-learn 1.5.0: Execution Time for ColumnTransformer Scales Quadratically with the Number of Transformers when n_jobs > 1
### Describe the bug
After upgrading to scikit-learn 1.5.0, we observed a significant performance regression in the ColumnTransformer when using `n_jobs > 1`. The i... | 29,229 | [
-0.02876315452158451,
0.04851680248975754,
0.01691479980945587,
-0.002409214386716485,
0.004249797202646732,
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0.03567209467291832,
0.05190997198224068,
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-0.01416103821247816,
0.04755224660038948,
0.006211136467754841,
-0.013478649780154228,
0.039... |
https://github.com/scikit-learn/scikit-learn/issues/29221 | [
"Build / CI",
"Array API"
] | Maintenance: GPU CI follow up work
This is a follow up to #24491. As we are starting touse the GPU CI workflow we are noticing things we don't like and things which are missing. Let's collect them in this issue as a way to keep track of them.
Things to add:
* [ ] comment (or other notification) in a PR to show the... | 29,221 | [
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0.0628323033452034,
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0.0018106420757248998,
0.06753261387348175,
0.025544285774230957,
0.01963832788169384,
0.0981... |
https://github.com/scikit-learn/scikit-learn/issues/29209 | [
"Bug",
"Needs Info"
] | tree.plot_tree() method takes too long then crashes 1.2.2
### Describe the bug
Hello Everyone,
So i'm training a decision tree model on a trainng set of about 200k rows and 8 cols, the training itself doesn't take long but when i try to visualize the tree using tree.plot_tree(), it doesn't work and i wait too lo... | 29,209 | [
-0.047639187425374985,
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0.012586137279868126,
0.013781807385385036,
0.04863059148192406,
-0.010917854495346546,
... |
https://github.com/scikit-learn/scikit-learn/issues/29209 | [
"Bug",
"Needs Info"
] | tree.plot_tree() method takes too long then crashes 1.2.2
### Describe the bug
Hello Everyone,
So i'm training a decision tree model on a trainng set of about 200k rows and 8 cols, the training itself doesn't take long but when i try to visualize the tree using tree.plot_tree(), it doesn't work and i wait too lo... | 29,209 | [
-0.047639187425374985,
-0.0326506681740284,
-0.00001187738416774664,
0.005650497041642666,
0.06086917221546173,
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0.06566266715526581,
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0.012586137279868126,
0.013781807385385036,
0.04863059148192406,
-0.010917854495346546,
... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
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0.013723771087825298,
0.008753719739615917,
-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
0.005098254885524511,
-0.00046427774941548705,
0.013723771087825298,
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-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
0.005098254885524511,
-0.00046427774941548705,
0.013723771087825298,
0.008753719739615917,
-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
0.005098254885524511,
-0.00046427774941548705,
0.013723771087825298,
0.008753719739615917,
-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
0.005098254885524511,
-0.00046427774941548705,
0.013723771087825298,
0.008753719739615917,
-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29205 | [
"Bug"
] | classification_report with output_dict=True leads to brittle output
### Describe the workflow you want to enable
When `output_dict` is `True`, the returned `dict` structure is brittle and breaks if one of the class name is the same as one of the average metrics.
Here for example one of the class is named "accuracy... | 29,205 | [
0.02232358232140541,
0.01019501406699419,
0.013537377119064331,
0.029581917449831963,
0.06165671721100807,
0.005098254885524511,
-0.00046427774941548705,
0.013723771087825298,
0.008753719739615917,
-0.03584200516343117,
-0.0068567353300750256,
0.02569453977048397,
0.03143874928355217,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/29202 | [
"Bug",
"Needs Triage"
] | scikit-learn algorithm cheat sheet (Diagram)
### Describe the bug
It seems there is some wrong path, described for choosing the estimator in the main diagram as compared to the previous versions.
https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
So, the moment you hit the above link you will ... | 29,202 | [
0.01995452493429184,
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0.0016451056580990553,
0.025425869971513748,
-0.025597771629691124,
0.027229933068156242,
-0.0007264904561452568,
0.042500533163547516,
0.09538187086582184,
0.07293014973402023,
... |
https://github.com/scikit-learn/scikit-learn/issues/29200 | [
"New Feature",
"Needs Triage"
] | Add Sparse DataFrame support
### Describe the workflow you want to enable
Hello !
It seems that we can configure ColumnTransformer to return a DataFrame via the set_output function.
On the other hand, this requires deactivating sparsity on each underlying transformer which has a negative impact on memory consumpt... | 29,200 | [
-0.021605471149086952,
0.11268855631351471,
0.06399301439523697,
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0.015227437019348145,
0.0481126606464386,
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-0.011347133666276932,
0.03878210112452507,
0.005016121547669172,
0.068... |
https://github.com/scikit-learn/scikit-learn/issues/29200 | [
"New Feature",
"Needs Triage"
] | Add Sparse DataFrame support
### Describe the workflow you want to enable
Hello !
It seems that we can configure ColumnTransformer to return a DataFrame via the set_output function.
On the other hand, this requires deactivating sparsity on each underlying transformer which has a negative impact on memory consumpt... | 29,200 | [
-0.021605471149086952,
0.11268855631351471,
0.06399301439523697,
-0.020926354452967644,
0.08139823377132416,
-0.017683062702417374,
0.015227437019348145,
0.0481126606464386,
-0.02634126879274845,
-0.020360000431537628,
-0.011347133666276932,
0.03878210112452507,
0.005016121547669172,
0.068... |
https://github.com/scikit-learn/scikit-learn/issues/29200 | [
"New Feature",
"Needs Triage"
] | Add Sparse DataFrame support
### Describe the workflow you want to enable
Hello !
It seems that we can configure ColumnTransformer to return a DataFrame via the set_output function.
On the other hand, this requires deactivating sparsity on each underlying transformer which has a negative impact on memory consumpt... | 29,200 | [
-0.021605471149086952,
0.11268855631351471,
0.06399301439523697,
-0.020926354452967644,
0.08139823377132416,
-0.017683062702417374,
0.015227437019348145,
0.0481126606464386,
-0.02634126879274845,
-0.020360000431537628,
-0.011347133666276932,
0.03878210112452507,
0.005016121547669172,
0.068... |
https://github.com/scikit-learn/scikit-learn/issues/29200 | [
"New Feature",
"Needs Triage"
] | Add Sparse DataFrame support
### Describe the workflow you want to enable
Hello !
It seems that we can configure ColumnTransformer to return a DataFrame via the set_output function.
On the other hand, this requires deactivating sparsity on each underlying transformer which has a negative impact on memory consumpt... | 29,200 | [
-0.021605471149086952,
0.11268855631351471,
0.06399301439523697,
-0.020926354452967644,
0.08139823377132416,
-0.017683062702417374,
0.015227437019348145,
0.0481126606464386,
-0.02634126879274845,
-0.020360000431537628,
-0.011347133666276932,
0.03878210112452507,
0.005016121547669172,
0.068... |
https://github.com/scikit-learn/scikit-learn/issues/29199 | [
"Documentation"
] | Inconsistency regarding Poisson regression in decision tree user guide doc
### Inconsistency about criterion in Decision Tree Regressor
Hi! I was revising scitkit-learn User guide about Decision Tree regressors and I found an inconsistency. In 1.10.7.2. Regression criteria it is mentioned **Poisson Deviance**. How... | 29,199 | [
-0.005014010705053806,
-0.04615158587694168,
0.013095713220536709,
0.019830193370580673,
-0.020328711718320847,
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0.0155014768242836,
-0.028601450845599174,
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-0.03173501789569855,
0.08443460613489151,
-0.02622365951538086,
0.05913810431957245,
-0.012... |
https://github.com/scikit-learn/scikit-learn/issues/29199 | [
"Documentation"
] | Inconsistency regarding Poisson regression in decision tree user guide doc
### Inconsistency about criterion in Decision Tree Regressor
Hi! I was revising scitkit-learn User guide about Decision Tree regressors and I found an inconsistency. In 1.10.7.2. Regression criteria it is mentioned **Poisson Deviance**. How... | 29,199 | [
-0.005014010705053806,
-0.04615158587694168,
0.013095713220536709,
0.019830193370580673,
-0.020328711718320847,
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0.0155014768242836,
-0.028601450845599174,
-0.0636151060461998,
-0.03173501789569855,
0.08443460613489151,
-0.02622365951538086,
0.05913810431957245,
-0.012... |
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