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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
-0.017468353733420372,
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0.090168297290802,
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
-0.017468353733420372,
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0.090168297290802,
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0.09609... |
https://github.com/scikit-learn/scikit-learn/issues/26024 | [
"API",
"Meta-issue",
"Array API"
] | Make more of the "tools" of scikit-learn Array API compatible
🚨 🚧 This issue requires a bit of patience and experience to contribute to 🚧 🚨
- Original issue introducing array API in scikit-learn: #22352
- array API official doc/spec: https://data-apis.org/array-api/
- scikit-learn doc: https://scikit-learn.o... | 26,024 | [
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https://github.com/scikit-learn/scikit-learn/issues/26015 | [
"Easy",
"Enhancement",
"Performance"
] | GaussianMixture is runnning too many computation when parameters are alredy provided
In `GaussianMixture`, if a user is passing some initial values for the weights, means, and precision then there is no need to run the initialization (via kmeans or random) and to estimate the gaussian parameters.
However, currently... | 26,015 | [
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https://github.com/scikit-learn/scikit-learn/issues/26015 | [
"Easy",
"Enhancement",
"Performance"
] | GaussianMixture is runnning too many computation when parameters are alredy provided
In `GaussianMixture`, if a user is passing some initial values for the weights, means, and precision then there is no need to run the initialization (via kmeans or random) and to estimate the gaussian parameters.
However, currently... | 26,015 | [
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https://github.com/scikit-learn/scikit-learn/issues/26015 | [
"Easy",
"Enhancement",
"Performance"
] | GaussianMixture is runnning too many computation when parameters are alredy provided
In `GaussianMixture`, if a user is passing some initial values for the weights, means, and precision then there is no need to run the initialization (via kmeans or random) and to estimate the gaussian parameters.
However, currently... | 26,015 | [
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https://github.com/scikit-learn/scikit-learn/issues/26015 | [
"Easy",
"Enhancement",
"Performance"
] | GaussianMixture is runnning too many computation when parameters are alredy provided
In `GaussianMixture`, if a user is passing some initial values for the weights, means, and precision then there is no need to run the initialization (via kmeans or random) and to estimate the gaussian parameters.
However, currently... | 26,015 | [
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https://github.com/scikit-learn/scikit-learn/issues/26015 | [
"Easy",
"Enhancement",
"Performance"
] | GaussianMixture is runnning too many computation when parameters are alredy provided
In `GaussianMixture`, if a user is passing some initial values for the weights, means, and precision then there is no need to run the initialization (via kmeans or random) and to estimate the gaussian parameters.
However, currently... | 26,015 | [
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https://github.com/scikit-learn/scikit-learn/issues/26013 | [
"New Feature"
] | Add per feature "maximum category" counts to `OrdinalEncoder`
### Describe the workflow you want to enable
This is a follow up task for #25677
It would be nice to allow users to [specify a per feature number of maxcategories](https://github.com/scikit-learn/scikit-learn/pull/25677#discussion_r1132500192) instead o... | 26,013 | [
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https://github.com/scikit-learn/scikit-learn/issues/26013 | [
"New Feature"
] | Add per feature "maximum category" counts to `OrdinalEncoder`
### Describe the workflow you want to enable
This is a follow up task for #25677
It would be nice to allow users to [specify a per feature number of maxcategories](https://github.com/scikit-learn/scikit-learn/pull/25677#discussion_r1132500192) instead o... | 26,013 | [
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https://github.com/scikit-learn/scikit-learn/issues/26013 | [
"New Feature"
] | Add per feature "maximum category" counts to `OrdinalEncoder`
### Describe the workflow you want to enable
This is a follow up task for #25677
It would be nice to allow users to [specify a per feature number of maxcategories](https://github.com/scikit-learn/scikit-learn/pull/25677#discussion_r1132500192) instead o... | 26,013 | [
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https://github.com/scikit-learn/scikit-learn/issues/26013 | [
"New Feature"
] | Add per feature "maximum category" counts to `OrdinalEncoder`
### Describe the workflow you want to enable
This is a follow up task for #25677
It would be nice to allow users to [specify a per feature number of maxcategories](https://github.com/scikit-learn/scikit-learn/pull/25677#discussion_r1132500192) instead o... | 26,013 | [
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https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
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https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
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0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/26010 | [
"Enhancement",
"Needs Decision",
"cython"
] | Introduce SIMD intrinsics for `_dist_metrics.pyx`
# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve significant performance gains in several (perhaps most) distance metr... | 26,010 | [
-0.026926038786768913,
0.04395374283194542,
0.024263570085167885,
0.016301793977618217,
0.004835681989789009,
0.00469532236456871,
0.05268765613436699,
0.055474746972322464,
0.007227446883916855,
-0.030355362221598625,
0.004090679809451103,
0.04674271494150162,
-0.005759930703788996,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/25990 | [
"Bug",
"Needs Triage"
] | Customizing the order of values in `classes_` of LabelEncoder gives weird results
### Describe the bug
I want to customize `LabelEncoder` to encode 3 and 1 into 0 and 1, respectively. I manually set the `classes_` as `np.array([3, 1])`, but it doesn't work. I checked the source code and found that `classes_` seems ... | 25,990 | [
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0.02137434482574463,
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0.05543776974081993,
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0.013710308820009232,
0.059914346784353256,
0.008588045835494995,
-0.000236... |
https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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0.05272086337208748,
0.003642243565991521,
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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0.052262041717767715,
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
0.007101486902683973,
0.053739309310913086,
-0.015489347279071808,
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
0.0055818394757807255,
0.046555496752262115,
-0.016601620241999626,
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0.0061300452798604965,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25985 | [
"Documentation"
] | Add documentation about re-building extensions to "Installing the development version of scikit-learn"
### Describe the issue linked to the documentation
Quite regularly when contributing to scikit-learn I realise that I need to re-build the Cython extensions. I realise this when I run pytest and get an import erro... | 25,985 | [
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https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
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0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.05801638215780258,
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-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.05801638215780258,
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-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
-0.003978272434324026,
0.05801638215780258,
-0.0006985859363339841,
0.03671879693865776,
-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.05801638215780258,
-0.0006985859363339841,
0.03671879693865776,
-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
-0.003978272434324026,
0.05801638215780258,
-0.0006985859363339841,
0.03671879693865776,
-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
-0.003978272434324026,
0.05801638215780258,
-0.0006985859363339841,
0.03671879693865776,
-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25982 | [
"New Feature",
"module:linear_model",
"module:metrics",
"Needs Decision - Include Feature"
] | Add functions for calculating log-likelihood and null log-likelihood
### Describe the workflow you want to enable
As a user of Scikit-learn, I want to be able to calculate the McFadden's pseudo R-squared for a binary logistic regression model for that we need log-likelihood and null log-likelihood.
### Describe your... | 25,982 | [
-0.014176207594573498,
0.019759787246584892,
0.0648263692855835,
-0.02638258971273899,
0.042999085038900375,
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0.05801638215780258,
-0.0006985859363339841,
0.03671879693865776,
-0.03885771706700325,
0.016908541321754456,
0.006529494188725948,
-0.03184691071510315,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25980 | [
"Documentation",
"Enhancement"
] | Improving documentation discoverability for Displays
Looking at the documentation (e.g https://scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html) I just realised that the examples reported in the displays are the ones invoking `__init__`. However, we request to use `from_estimator` and `fr... | 25,980 | [
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https://github.com/scikit-learn/scikit-learn/issues/25976 | [
"Documentation",
"Needs Triage"
] | Incorrect documentation for SplineTransformer.include_bias - the opposite is true
### Describe the issue linked to the documentation
Documentation says:
> include_bias: bool, default=True
> **If True (default), then the last spline element inside the data range of a feature is dropped**. As B-splines sum to on... | 25,976 | [
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0.060389138758182526,
0.03... |
https://github.com/scikit-learn/scikit-learn/issues/25974 | [
"Performance",
"module:ensemble"
] | Improve early stopping of HGBT for scorers passed as string
As @NicolasHug mentioned in https://github.com/scikit-learn/scikit-learn/pull/18659#issuecomment-715522394, `HistGradientBoostingClassifier` and `HistGradientBoostingRegressor` need to recompute the predictions during training if one passes a string or callab... | 25,974 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/25974 | [
"Performance",
"module:ensemble"
] | Improve early stopping of HGBT for scorers passed as string
As @NicolasHug mentioned in https://github.com/scikit-learn/scikit-learn/pull/18659#issuecomment-715522394, `HistGradientBoostingClassifier` and `HistGradientBoostingRegressor` need to recompute the predictions during training if one passes a string or callab... | 25,974 | [
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0.04062968119978905,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25970 | [
"New Feature"
] | Allow NearestNeighbor radius_neighbors to accept an array for the `radius` keyword argument
### Describe the workflow you want to enable
In KDTree and BallTree, there is a way to pass in a radius array that queries nearest-neighbors for each sample point for different radii.
- BallTree: https://scikit-learn.org/... | 25,970 | [
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0.006142397411167622,
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0.008761565200984478,
-0.04772225394845009,
-0.006638207472860813,
-0.0513355694711208... |
https://github.com/scikit-learn/scikit-learn/issues/25970 | [
"New Feature"
] | Allow NearestNeighbor radius_neighbors to accept an array for the `radius` keyword argument
### Describe the workflow you want to enable
In KDTree and BallTree, there is a way to pass in a radius array that queries nearest-neighbors for each sample point for different radii.
- BallTree: https://scikit-learn.org/... | 25,970 | [
-0.0044436464086174965,
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0.008761565200984478,
-0.04772225394845009,
-0.006638207472860813,
-0.0513355694711208... |
https://github.com/scikit-learn/scikit-learn/issues/25970 | [
"New Feature"
] | Allow NearestNeighbor radius_neighbors to accept an array for the `radius` keyword argument
### Describe the workflow you want to enable
In KDTree and BallTree, there is a way to pass in a radius array that queries nearest-neighbors for each sample point for different radii.
- BallTree: https://scikit-learn.org/... | 25,970 | [
-0.0044436464086174965,
-0.002262909896671772,
0.00883463304489851,
0.006142397411167622,
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0.008761565200984478,
-0.04772225394845009,
-0.006638207472860813,
-0.0513355694711208... |
https://github.com/scikit-learn/scikit-learn/issues/25964 | [
"module:ensemble",
"Meta-issue"
] | Use common loss module in gradient boosting
`GradientBoostingClassifier` and `GradientBoostingRegressor` are not yet migrated to the new common (private) loss function module, see #15123. The steps needed are:
- [x] #23036 (v1.1)
- [x] #23040 (v1.1)
- [x] #23079 (v1.1)
- [x] Carry out those 3 deprecations #25834 (... | 25,964 | [
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0.024963926523923874,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/25964 | [
"module:ensemble",
"Meta-issue"
] | Use common loss module in gradient boosting
`GradientBoostingClassifier` and `GradientBoostingRegressor` are not yet migrated to the new common (private) loss function module, see #15123. The steps needed are:
- [x] #23036 (v1.1)
- [x] #23040 (v1.1)
- [x] #23079 (v1.1)
- [x] Carry out those 3 deprecations #25834 (... | 25,964 | [
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0.01494644209742546,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/25963 | [
"Build / CI",
"RFC"
] | RFC 0% tolerance for Codecov patch
We currently have a 1% tolerance on Codcov for the project and for each patch.
Although having a tolearance on the project seems legit, we usually target a 100% coverage on PRs.
The results is that sometimes all checks are green and you don't realize that you have uncovered lines u... | 25,963 | [
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0.04810042306780815,
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0.0013391837710514665,
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0.02852463722229004,
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0.01928192377090454,
0.1314466893672943,
0.009257989004254341,
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0.01... |
https://github.com/scikit-learn/scikit-learn/issues/25963 | [
"Build / CI",
"RFC"
] | RFC 0% tolerance for Codecov patch
We currently have a 1% tolerance on Codcov for the project and for each patch.
Although having a tolearance on the project seems legit, we usually target a 100% coverage on PRs.
The results is that sometimes all checks are green and you don't realize that you have uncovered lines u... | 25,963 | [
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0.05826375260949135,
0.003371280152350664,
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0.012858232483267784,
0.12714332342147827,
0.012930873781442642,
-0.006683554966002703,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/25963 | [
"Build / CI",
"RFC"
] | RFC 0% tolerance for Codecov patch
We currently have a 1% tolerance on Codcov for the project and for each patch.
Although having a tolearance on the project seems legit, we usually target a 100% coverage on PRs.
The results is that sometimes all checks are green and you don't realize that you have uncovered lines u... | 25,963 | [
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0.1294568032026291,
0.013027275912463665,
-0.009693078696727753,
... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
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0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25957 | [
"Documentation"
] | Unable to pass splits to SequentialFeatureSelector
### Describe the bug
This runs fine with e.g. `cv=5`, but according to the documentation, it should also be able to take an iterable of splits.
However, passing splits from the cross validator fails
Im fairly certain I have done similar things in the past to othe... | 25,957 | [
0.016240816563367844,
-0.016566645354032516,
0.01851767860352993,
0.0057694693095982075,
0.04006953164935112,
-0.01191633753478527,
0.0969834253191948,
-0.0041457111947238445,
0.026649734005331993,
-0.03136971592903137,
0.024169156327843666,
0.01759563386440277,
0.009730640798807144,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
-0.0021557894069701433,
0.05149019509553909,
0.031234854832291603,
-0.00584591506049037,
0.0028960478957742453,
-0.011585861444473267,
0.06509187817573547,
-0.017450138926506042,
0.04882321506738663,
0.03820619359612465,
-0.022992078214883804,
0.07377596944570541,
-0.07378021627664566,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
0.011684485711157322,
0.05835885554552078,
0.025402428582310677,
-0.008115770295262337,
-0.007090358529239893,
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0.06835153698921204,
-0.019698645919561386,
0.05051441490650177,
0.03979041054844856,
-0.013706418685615063,
0.07428357005119324,
-0.07043501734733582,
0.062... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
-0.0012367801973596215,
0.04357817769050598,
0.030646156519651413,
-0.004752506501972675,
0.003955793101340532,
-0.01018893625587225,
0.06994575262069702,
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0.051442377269268036,
0.037347789853811264,
-0.026678351685404778,
0.07437209039926529,
-0.07298476248979568,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
0.000050317958084633574,
0.046992648392915726,
0.028307203203439713,
-0.0040934523567557335,
-0.0036912341602146626,
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0.06908059120178223,
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0.05225497484207153,
0.03513714298605919,
-0.022384710609912872,
0.07879941910505295,
-0.07276187092065811,
... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
-0.002372897695749998,
0.0433475524187088,
0.031527429819107056,
-0.003468351671472192,
0.005012481473386288,
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0.0674372985959053,
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0.05115487426519394,
0.03777453675866127,
-0.026857197284698486,
0.07618578523397446,
-0.07185211777687073,
0.0461... |
https://github.com/scikit-learn/scikit-learn/issues/25954 | [
"New Feature"
] | Allow users to have custom PDP/ICE axes
### Describe the workflow you want to enable
Currently, the `partial_dependence` function [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/inspection/_partial_dependence.py#L227) only allows users to specify the percentiles they want to use. The code then p... | 25,954 | [
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0.04596937820315361,
0.028655098751187325,
-0.005794962402433157,
0.0033888386096805334,
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0.07224705070257187,
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0.050512973219156265,
0.03733912482857704,
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0.0735802873969078,
-0.07114307582378387,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25953 | [
"Bug",
"Needs Triage"
] | ValueError: "Unknown label type: 'unknown'" when class column has Pandas nullable type like Int64
### Describe the bug
I often use Pandas to load data from CSV and transform it. Pandas tends to parse integer columns as floating point type, so I usually use `df = df.convert_dtypes()` to bring those columns back to a... | 25,953 | [
-0.004747880157083273,
0.011028476990759373,
0.0464169941842556,
0.008879221975803375,
0.11496126651763916,
0.023261677473783493,
0.05140290409326553,
0.045369941741228104,
0.007577776908874512,
-0.03079841658473015,
0.016787491738796234,
0.005718359723687172,
0.010329222306609154,
0.01648... |
https://github.com/scikit-learn/scikit-learn/issues/25953 | [
"Bug",
"Needs Triage"
] | ValueError: "Unknown label type: 'unknown'" when class column has Pandas nullable type like Int64
### Describe the bug
I often use Pandas to load data from CSV and transform it. Pandas tends to parse integer columns as floating point type, so I usually use `df = df.convert_dtypes()` to bring those columns back to a... | 25,953 | [
-0.004747880157083273,
0.011028476990759373,
0.0464169941842556,
0.008879221975803375,
0.11496126651763916,
0.023261677473783493,
0.05140290409326553,
0.045369941741228104,
0.007577776908874512,
-0.03079841658473015,
0.016787491738796234,
0.005718359723687172,
0.010329222306609154,
0.01648... |
https://github.com/scikit-learn/scikit-learn/issues/25953 | [
"Bug",
"Needs Triage"
] | ValueError: "Unknown label type: 'unknown'" when class column has Pandas nullable type like Int64
### Describe the bug
I often use Pandas to load data from CSV and transform it. Pandas tends to parse integer columns as floating point type, so I usually use `df = df.convert_dtypes()` to bring those columns back to a... | 25,953 | [
-0.004747880157083273,
0.011028476990759373,
0.0464169941842556,
0.008879221975803375,
0.11496126651763916,
0.023261677473783493,
0.05140290409326553,
0.045369941741228104,
0.007577776908874512,
-0.03079841658473015,
0.016787491738796234,
0.005718359723687172,
0.010329222306609154,
0.01648... |
https://github.com/scikit-learn/scikit-learn/issues/25953 | [
"Bug",
"Needs Triage"
] | ValueError: "Unknown label type: 'unknown'" when class column has Pandas nullable type like Int64
### Describe the bug
I often use Pandas to load data from CSV and transform it. Pandas tends to parse integer columns as floating point type, so I usually use `df = df.convert_dtypes()` to bring those columns back to a... | 25,953 | [
-0.004747880157083273,
0.011028476990759373,
0.0464169941842556,
0.008879221975803375,
0.11496126651763916,
0.023261677473783493,
0.05140290409326553,
0.045369941741228104,
0.007577776908874512,
-0.03079841658473015,
0.016787491738796234,
0.005718359723687172,
0.010329222306609154,
0.01648... |
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