html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k | embedding listlengths 768 768 |
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https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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https://github.com/scikit-learn/scikit-learn/issues/28881 | [
"New Feature"
] | `TargetEncoder` should respect `sample_weights`
### Describe the workflow you want to enable
The current implementation of `TargetEncoder` seems to calculate (shrinked) averages of `y`. In cases with `sample_weights`, it would be more natural to work with (shrinked) weighted averages.
### Describe your proposed ... | 28,881 | [
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https://github.com/scikit-learn/scikit-learn/issues/28878 | [
"Numerical Stability"
] | ⚠️ CI failed on macOS.pylatest_conda_forge_mkl (last failure: Apr 24, 2024) ⚠️
**CI failed on [macOS.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=66022&view=logs&j=97641769-79fb-5590-9088-a30ce9b850b9)** (Apr 24, 2024)
- test_neighbors_metrics[float32-minkowski]
COM... | 28,878 | [
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https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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0.1130354180932045,
-0.004954020492732525,
0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
0.056112490594387054,
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0.1130354180932045,
-0.004954020492732525,
0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
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-0.02290545403957367,
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0.1130354180932045,
-0.004954020492732525,
0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28864 | [
"Bug"
] | BUG: Issue building from source on MacOS Python 3.11
### Describe the bug
I have followed the steps mentioned at https://scikit-learn.org/stable/developers/advanced_installation.html#editable-mode. but it did not work and giving me the following error.
I want to contribute to the community but I am not able to g... | 28,864 | [
0.056112490594387054,
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-0.02290545403957367,
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0.028955... |
https://github.com/scikit-learn/scikit-learn/issues/28863 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_mkl_no_openmp (last failure: Apr 20, 2024) ⚠️
**CI failed on [macOS.pylatest_conda_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65958&view=logs&j=e6d5b7c0-0dfd-5ddf-13d5-c71bebf56ce2)** (Apr 20, 2024)
Unable to find junit file. Please see li... | 28,863 | [
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https://github.com/scikit-learn/scikit-learn/issues/28863 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_mkl_no_openmp (last failure: Apr 20, 2024) ⚠️
**CI failed on [macOS.pylatest_conda_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65958&view=logs&j=e6d5b7c0-0dfd-5ddf-13d5-c71bebf56ce2)** (Apr 20, 2024)
Unable to find junit file. Please see li... | 28,863 | [
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https://github.com/scikit-learn/scikit-learn/issues/28863 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_mkl_no_openmp (last failure: Apr 20, 2024) ⚠️
**CI failed on [macOS.pylatest_conda_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65958&view=logs&j=e6d5b7c0-0dfd-5ddf-13d5-c71bebf56ce2)** (Apr 20, 2024)
Unable to find junit file. Please see li... | 28,863 | [
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https://github.com/scikit-learn/scikit-learn/issues/28857 | [
"module:decomposition"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204 (last failure: Apr 19, 2024) ⚠️
**CI failed on [Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65919&view=logs&j=f71949a9-f9d9-549e-cf45-2e99c7b412d1)** (... | 28,857 | [
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https://github.com/scikit-learn/scikit-learn/issues/28857 | [
"module:decomposition"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204 (last failure: Apr 19, 2024) ⚠️
**CI failed on [Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65919&view=logs&j=f71949a9-f9d9-549e-cf45-2e99c7b412d1)** (... | 28,857 | [
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https://github.com/scikit-learn/scikit-learn/issues/28857 | [
"module:decomposition"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204 (last failure: Apr 19, 2024) ⚠️
**CI failed on [Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65919&view=logs&j=f71949a9-f9d9-549e-cf45-2e99c7b412d1)** (... | 28,857 | [
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https://github.com/scikit-learn/scikit-learn/issues/28850 | [
"New Feature",
"Needs Triage"
] | Make it possible to specify `monotonic_cst` with feature names in all tree-based estimators
### Describe the workflow you want to enable
Instead of passing an array of monotonicity constraints (-1 for a decrease constraint, +1 for an increase constraint or 0 for no constraint) specified by feature positions in the ... | 28,850 | [
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https://github.com/scikit-learn/scikit-learn/issues/28841 | [
"Bug"
] | Version 1.0 breaks cross-validation with string targets
### Describe the bug
I just tried to upgrade the package from version 0.24.2 to the latest release. Doing so, my integration tests would start to fail, claiming that there would not be enough samples for at least one class. This only occurs if I use string-bas... | 28,841 | [
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https://github.com/scikit-learn/scikit-learn/issues/28841 | [
"Bug"
] | Version 1.0 breaks cross-validation with string targets
### Describe the bug
I just tried to upgrade the package from version 0.24.2 to the latest release. Doing so, my integration tests would start to fail, claiming that there would not be enough samples for at least one class. This only occurs if I use string-bas... | 28,841 | [
0.005255029536783695,
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https://github.com/scikit-learn/scikit-learn/issues/28837 | [
"Bug",
"Build / CI"
] | Meson does not fully build the project in one go and need to be run twice ?
To reproduce (I use Meson commands directly below to show that is is not related to meson-python):
```bash
meson setup build/test
# Start from a built project
ninja -C build/test
# ninja is timestamp-based to touching this pxd will cau... | 28,837 | [
0.009808328002691269,
0.05336891487240791,
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0.05104328319430351,
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0.009709960781037807,
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0.006262657232582569,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28837 | [
"Bug",
"Build / CI"
] | Meson does not fully build the project in one go and need to be run twice ?
To reproduce (I use Meson commands directly below to show that is is not related to meson-python):
```bash
meson setup build/test
# Start from a built project
ninja -C build/test
# ninja is timestamp-based to touching this pxd will cau... | 28,837 | [
0.009808328002691269,
0.05336891487240791,
-0.03480123355984688,
-0.004157001152634621,
0.05104328319430351,
0.0046714008785784245,
-0.024901622906327248,
-0.0165738333016634,
-0.09822696447372437,
-0.014122962020337582,
0.009709960781037807,
0.054023921489715576,
0.006262657232582569,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28837 | [
"Bug",
"Build / CI"
] | Meson does not fully build the project in one go and need to be run twice ?
To reproduce (I use Meson commands directly below to show that is is not related to meson-python):
```bash
meson setup build/test
# Start from a built project
ninja -C build/test
# ninja is timestamp-based to touching this pxd will cau... | 28,837 | [
0.009808328002691269,
0.05336891487240791,
-0.03480123355984688,
-0.004157001152634621,
0.05104328319430351,
0.0046714008785784245,
-0.024901622906327248,
-0.0165738333016634,
-0.09822696447372437,
-0.014122962020337582,
0.009709960781037807,
0.054023921489715576,
0.006262657232582569,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28837 | [
"Bug",
"Build / CI"
] | Meson does not fully build the project in one go and need to be run twice ?
To reproduce (I use Meson commands directly below to show that is is not related to meson-python):
```bash
meson setup build/test
# Start from a built project
ninja -C build/test
# ninja is timestamp-based to touching this pxd will cau... | 28,837 | [
0.009808328002691269,
0.05336891487240791,
-0.03480123355984688,
-0.004157001152634621,
0.05104328319430351,
0.0046714008785784245,
-0.024901622906327248,
-0.0165738333016634,
-0.09822696447372437,
-0.014122962020337582,
0.009709960781037807,
0.054023921489715576,
0.006262657232582569,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28837 | [
"Bug",
"Build / CI"
] | Meson does not fully build the project in one go and need to be run twice ?
To reproduce (I use Meson commands directly below to show that is is not related to meson-python):
```bash
meson setup build/test
# Start from a built project
ninja -C build/test
# ninja is timestamp-based to touching this pxd will cau... | 28,837 | [
0.009808328002691269,
0.05336891487240791,
-0.03480123355984688,
-0.004157001152634621,
0.05104328319430351,
0.0046714008785784245,
-0.024901622906327248,
-0.0165738333016634,
-0.09822696447372437,
-0.014122962020337582,
0.009709960781037807,
0.054023921489715576,
0.006262657232582569,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28829 | [
"Bug"
] | scikit-learn cannot be built with OpenMP support.
### Describe the bug
I would like to install TrackPal however it is indicated that "scikit-learn cannot be built with OpenMP support".
### Steps/Code to Reproduce
```shell
(base) ASUS@dyn3175-229 ~ % pip install TrackPal
Collecting TrackPal
Obtaining de... | 28,829 | [
0.008055860176682472,
0.03987608850002289,
-0.016871409490704536,
-0.008773913607001305,
0.013327106833457947,
0.02571488730609417,
-0.008735612034797668,
0.030214646831154823,
-0.010541682131588459,
-0.014606039971113205,
0.02888675034046173,
0.03721348196268082,
-0.02847478538751602,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28828 | [
"Documentation",
"Moderate",
"help wanted"
] | Provide examples on how to customize the scikit-learn classes
### Describe the issue linked to the documentation
Recently I add to implement my custom CV Splitter for a project I'm working on. My first instinct was to look in the documentation to see if there were any examples of how this could be done. I could not f... | 28,828 | [
0.05973225086927414,
0.00170557398814708,
-0.005769075360149145,
0.007754944730550051,
-0.02750392258167267,
-0.024456683546304703,
0.05030946806073189,
-0.0007347891223616898,
-0.0011396583868190646,
-0.050488006323575974,
0.0502830445766449,
0.01941123604774475,
-0.03551068529486656,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28827 | [
"Bug",
"Needs Triage"
] | mean_squred_error giving wrong results
### Describe the bug
I have recently noticed a bug in the implementation of mean_squared_error in sklearn.metrics.
The current implementation of the function basically calculates the MSE as follows:
```
output_errors = np.average((y_true - y_pred) ** 2, axis=0, weights=sampl... | 28,827 | [
-0.02886837162077427,
0.003601944074034691,
0.02800091728568077,
0.01668255403637886,
0.08747275173664093,
-0.005560929421335459,
0.043862584978342056,
0.008830364793539047,
-0.007427833508700132,
-0.018231205642223358,
0.025867579504847527,
-0.0185549259185791,
0.014625076204538345,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/28827 | [
"Bug",
"Needs Triage"
] | mean_squred_error giving wrong results
### Describe the bug
I have recently noticed a bug in the implementation of mean_squared_error in sklearn.metrics.
The current implementation of the function basically calculates the MSE as follows:
```
output_errors = np.average((y_true - y_pred) ** 2, axis=0, weights=sampl... | 28,827 | [
-0.02886837162077427,
0.003601944074034691,
0.02800091728568077,
0.01668255403637886,
0.08747275173664093,
-0.005560929421335459,
0.043862584978342056,
0.008830364793539047,
-0.007427833508700132,
-0.018231205642223358,
0.025867579504847527,
-0.0185549259185791,
0.014625076204538345,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/28826 | [
"Needs Triage"
] | BUG?: PCA output changed in 1.5
Because of changing `u_based_decision=False` in `svd_flip` here:
https://github.com/scikit-learn/scikit-learn/pull/27491/files#diff-b17877cd9b0663deb819cce9f4cc84533c4ca88ca0ebd2380f9c8fc5864acf26R646
The PCA sign flipping differs between sklearn 1.4 and 1.5.0.dev0, see this faili... | 28,826 | [
-0.00416064728051424,
-0.006838471163064241,
-0.0017411422450095415,
0.008419997990131378,
0.04850929602980614,
-0.030910328030586243,
-0.013878289610147476,
-0.013391065411269665,
-0.0281305443495512,
-0.02618413046002388,
0.040243927389383316,
0.05520084127783775,
0.04425886273384094,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/28826 | [
"Needs Triage"
] | BUG?: PCA output changed in 1.5
Because of changing `u_based_decision=False` in `svd_flip` here:
https://github.com/scikit-learn/scikit-learn/pull/27491/files#diff-b17877cd9b0663deb819cce9f4cc84533c4ca88ca0ebd2380f9c8fc5864acf26R646
The PCA sign flipping differs between sklearn 1.4 and 1.5.0.dev0, see this faili... | 28,826 | [
-0.00416064728051424,
-0.006838471163064241,
-0.0017411422450095415,
0.008419997990131378,
0.04850929602980614,
-0.030910328030586243,
-0.013878289610147476,
-0.013391065411269665,
-0.0281305443495512,
-0.02618413046002388,
0.040243927389383316,
0.05520084127783775,
0.04425886273384094,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/28825 | [
"Bug",
"Needs Triage"
] | tree.export_graphviz numpy error
### Describe the bug
When using tree.export_graphviz in 1.4.2 the following error appears:
```
Traceback (most recent call last):
File "c:\Users\aller\Desktop\junk\ml_scikitlearn_decision_tree_classification_simple.py", line 39, in <module>
dot_data = tree.export_graphvi... | 28,825 | [
-0.013570567592978477,
-0.0049112155102193356,
-0.010289334692060947,
-0.010071479715406895,
0.06296227872371674,
0.01350181084126234,
0.0008583416929468513,
0.08012814074754715,
-0.0066789728589355946,
-0.021947436034679413,
0.04264679178595543,
0.029928281903266907,
-0.009634974412620068,
... |
https://github.com/scikit-learn/scikit-learn/issues/28825 | [
"Bug",
"Needs Triage"
] | tree.export_graphviz numpy error
### Describe the bug
When using tree.export_graphviz in 1.4.2 the following error appears:
```
Traceback (most recent call last):
File "c:\Users\aller\Desktop\junk\ml_scikitlearn_decision_tree_classification_simple.py", line 39, in <module>
dot_data = tree.export_graphvi... | 28,825 | [
-0.013570567592978477,
-0.0049112155102193356,
-0.010289334692060947,
-0.010071479715406895,
0.06296227872371674,
0.01350181084126234,
0.0008583416929468513,
0.08012814074754715,
-0.0066789728589355946,
-0.021947436034679413,
0.04264679178595543,
0.029928281903266907,
-0.009634974412620068,
... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28824 | [
"RFC"
] | RFC Trigger a copy when copy=False and X is read-only
Highly related to #14481 and maybe a little bit to https://github.com/scikit-learn/scikit-learn/issues/13986.
My understanding of the `copy=False` parameter of estimators is "allow inplace modifications of X".
When avoiding a copy is not possible (X doesn't h... | 28,824 | [
-0.03510533645749092,
0.06801476329565048,
-0.01342044211924076,
-0.01796560175716877,
-0.02551768161356449,
-0.008362344466149807,
0.035023465752601624,
-0.01496699545532465,
0.009344879537820816,
0.03441430255770683,
0.014589033089578152,
0.029043886810541153,
-0.05756617337465286,
0.005... |
https://github.com/scikit-learn/scikit-learn/issues/28820 | [
"Build / CI"
] | Race condition when building with Meson
Opening this to track it in an issue rather than seeing it appear in spread-out PRs.
The error looks like this:
```
[61/249] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx
FAILED: sklearn/linear_model/_sgd_fast.cpython-312-darwin.so.p/sklearn/linear_model/_sgd_... | 28,820 | [
-0.04555661231279373,
0.02297421358525753,
-0.05019068717956543,
0.01738862320780754,
0.05293476954102516,
0.06570643186569214,
-0.026497090235352516,
-0.029193270951509476,
-0.01426316425204277,
-0.06522688269615173,
0.05881388485431671,
0.030918074771761894,
-0.02684629149734974,
0.02788... |
https://github.com/scikit-learn/scikit-learn/issues/28820 | [
"Build / CI"
] | Race condition when building with Meson
Opening this to track it in an issue rather than seeing it appear in spread-out PRs.
The error looks like this:
```
[61/249] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx
FAILED: sklearn/linear_model/_sgd_fast.cpython-312-darwin.so.p/sklearn/linear_model/_sgd_... | 28,820 | [
-0.04555661231279373,
0.02297421358525753,
-0.05019068717956543,
0.01738862320780754,
0.05293476954102516,
0.06570643186569214,
-0.026497090235352516,
-0.029193270951509476,
-0.01426316425204277,
-0.06522688269615173,
0.05881388485431671,
0.030918074771761894,
-0.02684629149734974,
0.02788... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
@lesteve I think we broke the string interpolation in the title when merging your last PR :) | 28,809 | [
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0.0277983620762825,
0.00543076591566205,
0.071250... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
Indeed I opened #28810 | 28,809 | [
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0.03978222236037254,
-0.0159336868673563,
0.0829... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
At least the added date seems to work :sweat_smile: | 28,809 | [
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0.038390420377254486,
-0.01831897161900997,
0.08... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
Having said that there seems to be a genuine issue with Wheels. It was passing on the previous scheduled run c1d29ce7fc... | 28,809 | [
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0.020918603986501694,
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0.043109580874443054,
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-0.020687412470579147,
0.07605668902397156,
0.0732179582118988,
-0.03545672073960304,
0.044... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/8656646894) o... | 28,809 | [
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0.013189389370381832,
0.00995605904608965,
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0.033711567521095276,
0.09216959029436111,
0.030135465785861015,
-0.01842912659049034,
0.082... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
scipy/scipy#20422 wasn't merged yet but the last nightly CI was actually successful... | 28,809 | [
-0.018247995525598526,
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0.013686452060937881,
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0.01856437511742115,
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0.02084602229297161,
0.07776894420385361,
0.016428254544734955,
-0.020408479496836662,
0.10... |
https://github.com/scikit-learn/scikit-learn/issues/28809 | [
"Bug"
] | ⚠️ CI failed on Wheel builder (last failure: Apr 11, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8641208872)** (Apr 11, 2024)
COMMENT:
I believe the actual fix is https://github.com/scipy/scipy/pull/20441 that was merged. Scipy realised that when working... | 28,809 | [
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0.015127792954444885,
0.0876084715127945,
0.028683817014098167,
-0.014040778391063213,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28801 | [
"Bug",
"Documentation"
] | Bad rendering of the badge links in the README.rst file on github
E.g. on:
https://github.com/scikit-learn/scikit-learn/blob/main/README.rst
You get something that looks like:
Notice in particular the f... | 28,801 | [
0.017920929938554764,
-0.013074645772576332,
-0.010941267013549805,
-0.012264339253306389,
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0.016057543456554413,
0.0377456471323967,
0.08166660368442535,
0.012829601764678955,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/28801 | [
"Bug",
"Documentation"
] | Bad rendering of the badge links in the README.rst file on github
E.g. on:
https://github.com/scikit-learn/scikit-learn/blob/main/README.rst
You get something that looks like:
Notice in particular the f... | 28,801 | [
0.03305039927363396,
-0.021315056830644608,
-0.014867939054965973,
-0.009898281656205654,
0.06677451729774475,
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0.006856886669993401,
0.058108069002628326,
-0.011555282399058342,
0.012454718351364136,
0.04233129322528839,
0.07453378289937973,
0.018374154344201088,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28801 | [
"Bug",
"Documentation"
] | Bad rendering of the badge links in the README.rst file on github
E.g. on:
https://github.com/scikit-learn/scikit-learn/blob/main/README.rst
You get something that looks like:
Notice in particular the f... | 28,801 | [
0.03445281833410263,
-0.022183990105986595,
-0.013122333213686943,
-0.013008992187678814,
0.05983850732445717,
-0.000921905564609915,
0.003041832707822323,
0.050989773124456406,
-0.017329620197415352,
0.012433997355401516,
0.034921176731586456,
0.07266903668642044,
0.0226692296564579,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/28801 | [
"Bug",
"Documentation"
] | Bad rendering of the badge links in the README.rst file on github
E.g. on:
https://github.com/scikit-learn/scikit-learn/blob/main/README.rst
You get something that looks like:
Notice in particular the f... | 28,801 | [
0.03008662536740303,
-0.02351468987762928,
-0.011325310915708542,
-0.018100200220942497,
0.06826353073120117,
-0.0044300369918346405,
-0.0014981587883085012,
0.057504646480083466,
-0.022251388058066368,
0.015163757838308811,
0.0426819808781147,
0.07702609151601791,
0.019962524995207787,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28800 | [
"Documentation",
"Needs Triage"
] | the documentation says that the min_samples parameter specifies the number of neighbors including the point itself, but does not actually include
### Describe the issue linked to the documentation
The documentation page for the parameters of the DBSCAN mentions that the min_samples parameter : `The number of samples ... | 28,800 | [
-0.02532024309039116,
-0.08512648195028305,
-0.009065176360309124,
0.011956825852394104,
-0.005979449022561312,
0.0159747414290905,
0.04082021862268448,
-0.030772555619478226,
0.04569976404309273,
0.04647953808307648,
0.032117705792188644,
0.02734404057264328,
0.028553493320941925,
-0.0431... |
https://github.com/scikit-learn/scikit-learn/issues/28800 | [
"Documentation",
"Needs Triage"
] | the documentation says that the min_samples parameter specifies the number of neighbors including the point itself, but does not actually include
### Describe the issue linked to the documentation
The documentation page for the parameters of the DBSCAN mentions that the min_samples parameter : `The number of samples ... | 28,800 | [
-0.022219596430659294,
-0.0872996374964714,
-0.00581601494923234,
0.014919680543243885,
0.000028060454496880993,
0.01748356595635414,
0.04078684002161026,
-0.022885503247380257,
0.0491192601621151,
0.047149233520030975,
0.028364388272166252,
0.03362685441970825,
0.024990445002913475,
-0.04... |
https://github.com/scikit-learn/scikit-learn/issues/28800 | [
"Documentation",
"Needs Triage"
] | the documentation says that the min_samples parameter specifies the number of neighbors including the point itself, but does not actually include
### Describe the issue linked to the documentation
The documentation page for the parameters of the DBSCAN mentions that the min_samples parameter : `The number of samples ... | 28,800 | [
-0.027343343943357468,
-0.08535613864660263,
-0.008129743859171867,
0.009469889104366302,
-0.0048400480300188065,
0.016468027606606483,
0.041014932096004486,
-0.026483571156859398,
0.044798463582992554,
0.048735689371824265,
0.03161526843905449,
0.029896849766373634,
0.024522002786397934,
... |
https://github.com/scikit-learn/scikit-learn/issues/28800 | [
"Documentation",
"Needs Triage"
] | the documentation says that the min_samples parameter specifies the number of neighbors including the point itself, but does not actually include
### Describe the issue linked to the documentation
The documentation page for the parameters of the DBSCAN mentions that the min_samples parameter : `The number of samples ... | 28,800 | [
-0.02683558687567711,
-0.08782344311475754,
-0.009115032851696014,
0.012358315289020538,
-0.004163936711847782,
0.017016207799315453,
0.03720788285136223,
-0.027694815769791603,
0.04581448808312416,
0.04831895977258682,
0.029936959967017174,
0.028251687064766884,
0.026491766795516014,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28795 | [
"Bug",
"Needs Triage"
] | BUG building the documentation
### Describe the bug
When building the documentation, I get an error.
### Steps/Code to Reproduce
```bash
cd scikit-learn/doc
make
```
### Expected Results
Successful built
```
Build finished. The HTML pages are in $_build/html/stable.
```
### Actual Results
```
...
copyin... | 28,795 | [
0.07617837190628052,
-0.015191405080258846,
-0.020893145352602005,
-0.010179998353123665,
0.06742485612630844,
0.05547494813799858,
0.011026281863451004,
0.05638957396149635,
0.007563083432614803,
-0.028589371591806412,
0.011728745885193348,
0.07651940733194351,
0.01985982246696949,
-0.026... |
https://github.com/scikit-learn/scikit-learn/issues/28795 | [
"Bug",
"Needs Triage"
] | BUG building the documentation
### Describe the bug
When building the documentation, I get an error.
### Steps/Code to Reproduce
```bash
cd scikit-learn/doc
make
```
### Expected Results
Successful built
```
Build finished. The HTML pages are in $_build/html/stable.
```
### Actual Results
```
...
copyin... | 28,795 | [
0.07617837190628052,
-0.015191405080258846,
-0.020893145352602005,
-0.010179998353123665,
0.06742485612630844,
0.05547494813799858,
0.011026281863451004,
0.05638957396149635,
0.007563083432614803,
-0.028589371591806412,
0.011728745885193348,
0.07651940733194351,
0.01985982246696949,
-0.026... |
https://github.com/scikit-learn/scikit-learn/issues/28795 | [
"Bug",
"Needs Triage"
] | BUG building the documentation
### Describe the bug
When building the documentation, I get an error.
### Steps/Code to Reproduce
```bash
cd scikit-learn/doc
make
```
### Expected Results
Successful built
```
Build finished. The HTML pages are in $_build/html/stable.
```
### Actual Results
```
...
copyin... | 28,795 | [
0.07617837190628052,
-0.015191405080258846,
-0.020893145352602005,
-0.010179998353123665,
0.06742485612630844,
0.05547494813799858,
0.011026281863451004,
0.05638957396149635,
0.007563083432614803,
-0.028589371591806412,
0.011728745885193348,
0.07651940733194351,
0.01985982246696949,
-0.026... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28793 | [
"Documentation",
"help wanted"
] | Unexpected behavior of sklearn.feature_selection.mutual_info_regression if copy=False
### Describe the bug
The parameter `copy` of the function `mutual_info_regression` is described as follows https://github.com/scikit-learn/scikit-learn/blob/d1d1596fac19d688a637690134d71fc460f5f0dd/sklearn/feature_selection/_mutual_... | 28,793 | [
0.019659901037812233,
-0.029837997630238533,
0.013236447237432003,
0.0010300319408997893,
0.0270277950912714,
0.018357528373599052,
0.07717899233102798,
0.002760079223662615,
-0.05346393957734108,
-0.012495539151132107,
-0.012975589372217655,
0.0037325089797377586,
0.05455176532268524,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28791 | [
"Bug",
"Needs Triage"
] | SelectKBest.fit and fit_transform do not work with y=None
### Describe the bug
Per the documentation here: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html#sklearn.feature_selection.SelectKBest.fit
and
https://scikit-learn.org/stable/modules/generated/sklearn.feature_sele... | 28,791 | [
0.003000777680426836,
-0.021623315289616585,
0.024340789765119553,
0.0024148139636963606,
0.08805707842111588,
-0.015111894346773624,
0.07093740254640579,
0.04571782797574997,
-0.0019431584514677525,
-0.016394244506955147,
-0.0027198262978345156,
0.07066310942173004,
0.05718103423714638,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28791 | [
"Bug",
"Needs Triage"
] | SelectKBest.fit and fit_transform do not work with y=None
### Describe the bug
Per the documentation here: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html#sklearn.feature_selection.SelectKBest.fit
and
https://scikit-learn.org/stable/modules/generated/sklearn.feature_sele... | 28,791 | [
0.003000777680426836,
-0.021623315289616585,
0.024340789765119553,
0.0024148139636963606,
0.08805707842111588,
-0.015111894346773624,
0.07093740254640579,
0.04571782797574997,
-0.0019431584514677525,
-0.016394244506955147,
-0.0027198262978345156,
0.07066310942173004,
0.05718103423714638,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28791 | [
"Bug",
"Needs Triage"
] | SelectKBest.fit and fit_transform do not work with y=None
### Describe the bug
Per the documentation here: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html#sklearn.feature_selection.SelectKBest.fit
and
https://scikit-learn.org/stable/modules/generated/sklearn.feature_sele... | 28,791 | [
0.003000777680426836,
-0.021623315289616585,
0.024340789765119553,
0.0024148139636963606,
0.08805707842111588,
-0.015111894346773624,
0.07093740254640579,
0.04571782797574997,
-0.0019431584514677525,
-0.016394244506955147,
-0.0027198262978345156,
0.07066310942173004,
0.05718103423714638,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28781 | [
"Bug",
"Regression"
] | ColumnTransformer throws error with n_jobs > 1 input dataframes and joblib auto-memmapping (regression in 1.4.1.post1)
### Describe the bug
Hi,
I have been trying to build a ColumnTransformer with different values in the n_jobs' parameter, but when fitting and transforming throws the error ValueError: cannot set... | 28,781 | [
-0.037688467651605606,
0.01957177370786667,
0.015595866367220879,
-0.0625089704990387,
0.08184555917978287,
-0.009836740791797638,
0.04690353944897652,
0.01578206941485405,
-0.005373540800064802,
0.018537208437919617,
0.04326523095369339,
-0.0029324814677238464,
-0.009278811514377594,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28780 | [
"Bug"
] | `FunctionTransformer` need `feature_names_out` even if `func` returns DataFrame
### Describe the bug
Trying to call `transform` for `FunctionTransformer` for which `feature_names_out` is configured raises error that advises to use `set_output(transform='pandas')`. But this doesn't change anything.
### Steps/Code... | 28,780 | [
0.048394810408353806,
0.0033306265249848366,
0.024480856955051422,
-0.03225509822368622,
0.07664891332387924,
0.005254089832305908,
0.08842784911394119,
-0.023371214047074318,
-0.03623095154762268,
0.012384641915559769,
0.012729384005069733,
0.0061108930967748165,
0.08271155506372452,
0.03... |
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