html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k | embedding listlengths 768 768 |
|---|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/28700 | [
"Bug",
"module:linear_model",
"Numerical Stability"
] | BUG loss of precision in LogisticRegression as of version 1.4
### Describe the bug
Between version 1.3.2 and 1.4.0, LogisticRegression became less accurate.
### Steps/Code to Reproduce
```python
import numpy as np
import pandas as pd
import sklearn.pipeline
import sklearn.preprocessing
import sklearn.linear_... | 28,700 | [
-0.008627655915915966,
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0.015150022692978382,
0.07260611653327942,
0.003017678391188383,
0.010765519924461842,
0.0496... |
https://github.com/scikit-learn/scikit-learn/issues/28700 | [
"Bug",
"module:linear_model",
"Numerical Stability"
] | BUG loss of precision in LogisticRegression as of version 1.4
### Describe the bug
Between version 1.3.2 and 1.4.0, LogisticRegression became less accurate.
### Steps/Code to Reproduce
```python
import numpy as np
import pandas as pd
import sklearn.pipeline
import sklearn.preprocessing
import sklearn.linear_... | 28,700 | [
-0.008627655915915966,
0.015925640240311623,
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0.06803285330533981,
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0.03580213710665703,
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0.015150022692978382,
0.07260611653327942,
0.003017678391188383,
0.010765519924461842,
0.0496... |
https://github.com/scikit-learn/scikit-learn/issues/28700 | [
"Bug",
"module:linear_model",
"Numerical Stability"
] | BUG loss of precision in LogisticRegression as of version 1.4
### Describe the bug
Between version 1.3.2 and 1.4.0, LogisticRegression became less accurate.
### Steps/Code to Reproduce
```python
import numpy as np
import pandas as pd
import sklearn.pipeline
import sklearn.preprocessing
import sklearn.linear_... | 28,700 | [
-0.008627655915915966,
0.015925640240311623,
0.015532776713371277,
0.007858101278543472,
0.06803285330533981,
0.012002742849290371,
0.004776539281010628,
0.03580213710665703,
0.008557397872209549,
0.015150022692978382,
0.07260611653327942,
0.003017678391188383,
0.010765519924461842,
0.0496... |
https://github.com/scikit-learn/scikit-learn/issues/28700 | [
"Bug",
"module:linear_model",
"Numerical Stability"
] | BUG loss of precision in LogisticRegression as of version 1.4
### Describe the bug
Between version 1.3.2 and 1.4.0, LogisticRegression became less accurate.
### Steps/Code to Reproduce
```python
import numpy as np
import pandas as pd
import sklearn.pipeline
import sklearn.preprocessing
import sklearn.linear_... | 28,700 | [
-0.008627655915915966,
0.015925640240311623,
0.015532776713371277,
0.007858101278543472,
0.06803285330533981,
0.012002742849290371,
0.004776539281010628,
0.03580213710665703,
0.008557397872209549,
0.015150022692978382,
0.07260611653327942,
0.003017678391188383,
0.010765519924461842,
0.0496... |
https://github.com/scikit-learn/scikit-learn/issues/28697 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI failed on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65281&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Mar 26, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
meson is mi... | 28,697 | [
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https://github.com/scikit-learn/scikit-learn/issues/28696 | [
"Bug",
"Metadata Routing"
] | groups parameter in cross_validate not passed to inner model
### Describe the bug
I discovered that I am unable to perform nested cross validation using ``cross_validate`` and similar methods in ``_validation.py`` because the ``groups`` parameter is not passed inwards to the ``_fit_and_score`` function. This becomes ... | 28,696 | [
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https://github.com/scikit-learn/scikit-learn/issues/28696 | [
"Bug",
"Metadata Routing"
] | groups parameter in cross_validate not passed to inner model
### Describe the bug
I discovered that I am unable to perform nested cross validation using ``cross_validate`` and similar methods in ``_validation.py`` because the ``groups`` parameter is not passed inwards to the ``_fit_and_score`` function. This becomes ... | 28,696 | [
-0.013290544971823692,
-0.005770332645624876,
0.0316341333091259,
0.03615894913673401,
0.0790276825428009,
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0.03819624334573746,
-0.05418... |
https://github.com/scikit-learn/scikit-learn/issues/28696 | [
"Bug",
"Metadata Routing"
] | groups parameter in cross_validate not passed to inner model
### Describe the bug
I discovered that I am unable to perform nested cross validation using ``cross_validate`` and similar methods in ``_validation.py`` because the ``groups`` parameter is not passed inwards to the ``_fit_and_score`` function. This becomes ... | 28,696 | [
-0.013290544971823692,
-0.005770332645624876,
0.0316341333091259,
0.03615894913673401,
0.0790276825428009,
-0.022811131551861763,
0.0261769350618124,
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-0.03285599127411842,
-0.0481792688369751,
-0.009697899222373962,
0.03819624334573746,
-0.05418... |
https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
Very likely related to switching to meson as the main build backend #28506. | 28,695 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
Looks like check-manifest doesn't support alternative build backends (https://github.com/mgedmin/check-manifest/issues/163) | 28,695 | [
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https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
It looks like `meson dist` doesn't support being run on something that isn't a git repository. Is that also how you read the error message? If yes... | 28,695 | [
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0.10... |
https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
Another option would be to switch to [check-sdist](https://github.com/henryiii/check-sdist) as mentioned in https://github.com/mgedmin/check-manif... | 28,695 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
Looking at the [check-sdist source code](https://github.com/henryiii/check-sdist/blob/main/src/check_sdist/__main__.py) I think it should be quite... | 28,695 | [
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0.08236917... |
https://github.com/scikit-learn/scikit-learn/issues/28695 | [
"Build / CI"
] | ⚠️ CI failed on Check Manifest ⚠️
**CI is still failing on [Check Manifest](https://github.com/scikit-learn/scikit-learn/actions/runs/8608201085)** (Apr 09, 2024)
COMMENT:
I opened https://github.com/scikit-learn/scikit-learn/pull/28757 to tackle this. | 28,695 | [
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https://github.com/scikit-learn/scikit-learn/issues/28679 | [
"Question"
] | Slow training time when using train_test_split
### Describe the bug
I have a big data set, with 1 class only (for binary classification). The dataset is highly imbalanced.
I was doing a manual stratify train test split using some for loops and if else, it was taking a lot of time for doing that , but the CNN tra... | 28,679 | [
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0.0029... |
https://github.com/scikit-learn/scikit-learn/issues/28679 | [
"Question"
] | Slow training time when using train_test_split
### Describe the bug
I have a big data set, with 1 class only (for binary classification). The dataset is highly imbalanced.
I was doing a manual stratify train test split using some for loops and if else, it was taking a lot of time for doing that , but the CNN tra... | 28,679 | [
-0.03295370191335678,
-0.01547140534967184,
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0.0029... |
https://github.com/scikit-learn/scikit-learn/issues/28677 | [
"New Feature",
"Array API"
] | Array API support for cross_validation and friends
Now that #28407 was merged, we need to adopt other cross-validation and model selection tools, starting with `cross_validate`. Currently it fails with:
```python
import array_api_strict as xp
from sklearn.discriminant_analysis import LinearDiscriminantAnalysi... | 28,677 | [
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0.029... |
https://github.com/scikit-learn/scikit-learn/issues/28677 | [
"New Feature",
"Array API"
] | Array API support for cross_validation and friends
Now that #28407 was merged, we need to adopt other cross-validation and model selection tools, starting with `cross_validate`. Currently it fails with:
```python
import array_api_strict as xp
from sklearn.discriminant_analysis import LinearDiscriminantAnalysi... | 28,677 | [
-0.031098324805498123,
0.019870994612574577,
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0.05805442854762077,
-0.00048194488044828176,
0.029... |
https://github.com/scikit-learn/scikit-learn/issues/28671 | [
"Documentation"
] | D2_pinball_score
Hello team, I’m currently utilizing RandomizedSearchCV . Specifically, I’m working on probabilistic forecasting. However, when I use D2_pinball_score as the scoring metric, I encounter an error despite using the supported version. Any insights or guidance would be greatly appreciated.
![image](http... | 28,671 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/28671 | [
"Documentation"
] | D2_pinball_score
Hello team, I’m currently utilizing RandomizedSearchCV . Specifically, I’m working on probabilistic forecasting. However, when I use D2_pinball_score as the scoring metric, I encounter an error despite using the supported version. Any insights or guidance would be greatly appreciated.
![image](http... | 28,671 | [
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https://github.com/scikit-learn/scikit-learn/issues/28671 | [
"Documentation"
] | D2_pinball_score
Hello team, I’m currently utilizing RandomizedSearchCV . Specifically, I’m working on probabilistic forecasting. However, when I use D2_pinball_score as the scoring metric, I encounter an error despite using the supported version. Any insights or guidance would be greatly appreciated.
![image](http... | 28,671 | [
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https://github.com/scikit-learn/scikit-learn/issues/28669 | [
"Documentation"
] | Polars not mentioned as requirement to build documentation
### Describe the issue linked to the documentation
The developer documentation [here](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) lists the dependencies required to build the documentation. However, `polars` is not me... | 28,669 | [
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https://github.com/scikit-learn/scikit-learn/issues/28669 | [
"Documentation"
] | Polars not mentioned as requirement to build documentation
### Describe the issue linked to the documentation
The developer documentation [here](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) lists the dependencies required to build the documentation. However, `polars` is not me... | 28,669 | [
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https://github.com/scikit-learn/scikit-learn/issues/28669 | [
"Documentation"
] | Polars not mentioned as requirement to build documentation
### Describe the issue linked to the documentation
The developer documentation [here](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) lists the dependencies required to build the documentation. However, `polars` is not me... | 28,669 | [
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https://github.com/scikit-learn/scikit-learn/issues/28669 | [
"Documentation"
] | Polars not mentioned as requirement to build documentation
### Describe the issue linked to the documentation
The developer documentation [here](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) lists the dependencies required to build the documentation. However, `polars` is not me... | 28,669 | [
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https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
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https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28668 | [
"Array API"
] | Automatically move `y` (and `sample_weight`) to the same device and namespace as `X`
(From https://github.com/scikit-learn/scikit-learn/pull/27800#issuecomment-1878709518 by @ogrisel)
The proposal/idea is to allow `y` to not be on the same device (and namespace?) as `X` when using Array API inputs. Currently we req... | 28,668 | [
-0.0008940675179474056,
0.040594540536403656,
-0.02466496080160141,
0.0039545344188809395,
0.025807403028011322,
0.0024757978972047567,
0.1274494081735611,
0.017313551157712936,
0.010750670917332172,
0.010456514544785023,
-0.0001930337311932817,
0.06237784028053284,
0.00387979531660676,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28666 | [
"Bug"
] | AttributeError: 'OneHotEncoder' object has no attribute '_drop_idx_after_grouping'
### Describe the bug
Context:
I am encountering an issue while using the OneHotEncoder class from scikit-learn. When trying to transform my data using the transform method, I receive the following error:
AttributeError: 'OneHotEnco... | 28,666 | [
0.0060735708102583885,
0.02686804160475731,
0.04042161628603935,
0.002518616383895278,
0.07234710454940796,
0.04087992012500763,
0.09776676446199417,
0.05877351760864258,
-0.037911027669906616,
-0.053992386907339096,
0.043289199471473694,
0.051303450018167496,
0.03231010213494301,
0.027291... |
https://github.com/scikit-learn/scikit-learn/issues/28666 | [
"Bug"
] | AttributeError: 'OneHotEncoder' object has no attribute '_drop_idx_after_grouping'
### Describe the bug
Context:
I am encountering an issue while using the OneHotEncoder class from scikit-learn. When trying to transform my data using the transform method, I receive the following error:
AttributeError: 'OneHotEnco... | 28,666 | [
0.0060735708102583885,
0.02686804160475731,
0.04042161628603935,
0.002518616383895278,
0.07234710454940796,
0.04087992012500763,
0.09776676446199417,
0.05877351760864258,
-0.037911027669906616,
-0.053992386907339096,
0.043289199471473694,
0.051303450018167496,
0.03231010213494301,
0.027291... |
https://github.com/scikit-learn/scikit-learn/issues/28666 | [
"Bug"
] | AttributeError: 'OneHotEncoder' object has no attribute '_drop_idx_after_grouping'
### Describe the bug
Context:
I am encountering an issue while using the OneHotEncoder class from scikit-learn. When trying to transform my data using the transform method, I receive the following error:
AttributeError: 'OneHotEnco... | 28,666 | [
0.0060735708102583885,
0.02686804160475731,
0.04042161628603935,
0.002518616383895278,
0.07234710454940796,
0.04087992012500763,
0.09776676446199417,
0.05877351760864258,
-0.037911027669906616,
-0.053992386907339096,
0.043289199471473694,
0.051303450018167496,
0.03231010213494301,
0.027291... |
https://github.com/scikit-learn/scikit-learn/issues/28666 | [
"Bug"
] | AttributeError: 'OneHotEncoder' object has no attribute '_drop_idx_after_grouping'
### Describe the bug
Context:
I am encountering an issue while using the OneHotEncoder class from scikit-learn. When trying to transform my data using the transform method, I receive the following error:
AttributeError: 'OneHotEnco... | 28,666 | [
0.0060735708102583885,
0.02686804160475731,
0.04042161628603935,
0.002518616383895278,
0.07234710454940796,
0.04087992012500763,
0.09776676446199417,
0.05877351760864258,
-0.037911027669906616,
-0.053992386907339096,
0.043289199471473694,
0.051303450018167496,
0.03231010213494301,
0.027291... |
https://github.com/scikit-learn/scikit-learn/issues/28666 | [
"Bug"
] | AttributeError: 'OneHotEncoder' object has no attribute '_drop_idx_after_grouping'
### Describe the bug
Context:
I am encountering an issue while using the OneHotEncoder class from scikit-learn. When trying to transform my data using the transform method, I receive the following error:
AttributeError: 'OneHotEnco... | 28,666 | [
0.0060735708102583885,
0.02686804160475731,
0.04042161628603935,
0.002518616383895278,
0.07234710454940796,
0.04087992012500763,
0.09776676446199417,
0.05877351760864258,
-0.037911027669906616,
-0.053992386907339096,
0.043289199471473694,
0.051303450018167496,
0.03231010213494301,
0.027291... |
https://github.com/scikit-learn/scikit-learn/issues/28659 | [
"Bug",
"Documentation"
] | Dubious claim in accuracy_score doc about being equal to jaccard_score
### Describe the issue linked to the documentation
The documentation for [`accuracy_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score) claims the following:
> In binary ... | 28,659 | [
-0.03635482117533684,
-0.017241375520825386,
0.009909898042678833,
0.007561343256384134,
-0.03372343257069588,
0.006191736087203026,
0.025860829278826714,
-0.007626892067492008,
-0.05144388601183891,
-0.03911355510354042,
0.013935256749391556,
0.013946537859737873,
0.10484902560710907,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28659 | [
"Bug",
"Documentation"
] | Dubious claim in accuracy_score doc about being equal to jaccard_score
### Describe the issue linked to the documentation
The documentation for [`accuracy_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score) claims the following:
> In binary ... | 28,659 | [
-0.037252455949783325,
-0.018208838999271393,
0.010183025151491165,
0.008067617192864418,
-0.03513273224234581,
0.005489883478730917,
0.027723627164959908,
-0.007854628376662731,
-0.052127406001091,
-0.037738408893346786,
0.012340030632913113,
0.0128833819180727,
0.10571473836898804,
0.045... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
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0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
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0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
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0.021044455468654633,
0.026348773390054703,
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0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
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0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
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-0.018757853657007217,
0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
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0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
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-0.018757853657007217,
0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
-0.014456648379564285,
-0.060667186975479126,
0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
-0.0048737721517682076,
-0.018757853657007217,
0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
-0.014456648379564285,
-0.060667186975479126,
0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
-0.0048737721517682076,
-0.018757853657007217,
0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28645 | [
"Documentation"
] | Support pyenv to manage development python version
### Describe the workflow you want to enable
The [documentation](https://scikit-learn.org/stable/developers/advanced_installation.html#installing-the-development-version-of-scikit-learn) for installing the development version of scikit-learn proposes two ways for t... | 28,645 | [
0.011930672451853752,
0.0620870478451252,
-0.014456648379564285,
-0.060667186975479126,
0.021044455468654633,
0.026348773390054703,
0.05299016833305359,
0.02461400255560875,
-0.0048737721517682076,
-0.018757853657007217,
0.017147129401564598,
0.05685166269540787,
-0.04283361881971359,
0.05... |
https://github.com/scikit-learn/scikit-learn/issues/28644 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8320966198)** (Mar 18, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.1... | 28,644 | [
-0.03018180839717388,
0.01813826709985733,
-0.028253860771656036,
-0.01976812444627285,
0.03215360641479492,
0.0431598536670208,
0.026521742343902588,
0.058167714625597,
-0.021768718957901,
0.004033551085740328,
0.04126209020614624,
0.06688214093446732,
-0.03134652599692345,
0.080610036849... |
https://github.com/scikit-learn/scikit-learn/issues/28644 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8320966198)** (Mar 18, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.1... | 28,644 | [
-0.03018180839717388,
0.01813826709985733,
-0.028253860771656036,
-0.01976812444627285,
0.03215360641479492,
0.0431598536670208,
0.026521742343902588,
0.058167714625597,
-0.021768718957901,
0.004033551085740328,
0.04126209020614624,
0.06688214093446732,
-0.03134652599692345,
0.080610036849... |
https://github.com/scikit-learn/scikit-learn/issues/28644 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8320966198)** (Mar 18, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.1... | 28,644 | [
-0.03018180839717388,
0.01813826709985733,
-0.028253860771656036,
-0.01976812444627285,
0.03215360641479492,
0.0431598536670208,
0.026521742343902588,
0.058167714625597,
-0.021768718957901,
0.004033551085740328,
0.04126209020614624,
0.06688214093446732,
-0.03134652599692345,
0.080610036849... |
https://github.com/scikit-learn/scikit-learn/issues/28644 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8320966198)** (Mar 18, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.1... | 28,644 | [
-0.03018180839717388,
0.01813826709985733,
-0.028253860771656036,
-0.01976812444627285,
0.03215360641479492,
0.0431598536670208,
0.026521742343902588,
0.058167714625597,
-0.021768718957901,
0.004033551085740328,
0.04126209020614624,
0.06688214093446732,
-0.03134652599692345,
0.080610036849... |
https://github.com/scikit-learn/scikit-learn/issues/28644 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8320966198)** (Mar 18, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.1... | 28,644 | [
-0.03018180839717388,
0.01813826709985733,
-0.028253860771656036,
-0.01976812444627285,
0.03215360641479492,
0.0431598536670208,
0.026521742343902588,
0.058167714625597,
-0.021768718957901,
0.004033551085740328,
0.04126209020614624,
0.06688214093446732,
-0.03134652599692345,
0.080610036849... |
https://github.com/scikit-learn/scikit-learn/issues/28643 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6336497452843008)** (Mar 17, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:12... | 28,643 | [
-0.008696512319147587,
-0.0027997256256639957,
-0.044569745659828186,
-0.03382224217057228,
0.04293663427233696,
0.047722719609737396,
0.027182430028915405,
0.052774835377931595,
-0.008660136722028255,
0.008513079024851322,
0.020460152998566628,
0.05642782524228096,
-0.020736685022711754,
... |
https://github.com/scikit-learn/scikit-learn/issues/28643 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6336497452843008)** (Mar 17, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:12... | 28,643 | [
-0.008696512319147587,
-0.0027997256256639957,
-0.044569745659828186,
-0.03382224217057228,
0.04293663427233696,
0.047722719609737396,
0.027182430028915405,
0.052774835377931595,
-0.008660136722028255,
0.008513079024851322,
0.020460152998566628,
0.05642782524228096,
-0.020736685022711754,
... |
https://github.com/scikit-learn/scikit-learn/issues/28643 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6336497452843008)** (Mar 17, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:12... | 28,643 | [
-0.008696512319147587,
-0.0027997256256639957,
-0.044569745659828186,
-0.03382224217057228,
0.04293663427233696,
0.047722719609737396,
0.027182430028915405,
0.052774835377931595,
-0.008660136722028255,
0.008513079024851322,
0.020460152998566628,
0.05642782524228096,
-0.020736685022711754,
... |
https://github.com/scikit-learn/scikit-learn/issues/28643 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6336497452843008)** (Mar 17, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:12... | 28,643 | [
-0.008696512319147587,
-0.0027997256256639957,
-0.044569745659828186,
-0.03382224217057228,
0.04293663427233696,
0.047722719609737396,
0.027182430028915405,
0.052774835377931595,
-0.008660136722028255,
0.008513079024851322,
0.020460152998566628,
0.05642782524228096,
-0.020736685022711754,
... |
https://github.com/scikit-learn/scikit-learn/issues/28643 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6336497452843008)** (Mar 17, 2024)
```
________________________ ERROR collecting test session _________________________
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:12... | 28,643 | [
-0.008696512319147587,
-0.0027997256256639957,
-0.044569745659828186,
-0.03382224217057228,
0.04293663427233696,
0.047722719609737396,
0.027182430028915405,
0.052774835377931595,
-0.008660136722028255,
0.008513079024851322,
0.020460152998566628,
0.05642782524228096,
-0.020736685022711754,
... |
https://github.com/scikit-learn/scikit-learn/issues/28642 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI failed on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65083&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Mar 17, 2024)
- test_balance_property[75-True-SGDRegressor1]
COMMENT:
## CI is no longer f... | 28,642 | [
-0.023975791409611702,
-0.004307054914534092,
-0.013618315570056438,
-0.05632034316658974,
0.04540502279996872,
0.0013492212165147066,
0.027460593730211258,
0.019244704395532608,
0.006952513940632343,
0.042054541409015656,
0.02993318811058998,
0.022946598008275032,
-0.0015588939422741532,
... |
https://github.com/scikit-learn/scikit-learn/issues/28634 | [
"Bug",
"Needs Triage"
] | KMeans clustering with [0, 1]-entries feature vectors outputs centroids with entries outside [0, 1]
### Describe the bug
I have a dataset for clustering based on purchase months, available [here][1]. All feature vectors have entries which sum to 1. I did not expect to have centroids with the strict constraint of t... | 28,634 | [
0.03323952481150627,
-0.03638705238699913,
-0.015645714476704597,
-0.006857318338006735,
0.06776181608438492,
0.023608744144439697,
0.06275072693824768,
0.021459778770804405,
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-0.001920197973959148,
0.02811395935714245,
0.006150752771645784,
0.030795782804489136,
0.023... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
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-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28632 | [
"Bug"
] | [Bug] `sklearn.base.BaseEstimator` subclasses not decoratable
### Describe the bug
Greetings, wondrous `sklearn` maintainers. This is @leycec, the maintainer of @beartype – a third-generation hybrid static-runtime type-checker with far too many hyphens in its description. Who even knows what that means at this poin... | 28,632 | [
0.0342644527554512,
0.040644578635692596,
0.02778276801109314,
0.021785002201795578,
0.03772871568799019,
-0.011551621370017529,
0.0374995693564415,
0.008300691843032837,
-0.044627584517002106,
-0.02731197141110897,
0.04021535813808441,
0.037857260555028915,
-0.020202402025461197,
0.004666... |
https://github.com/scikit-learn/scikit-learn/issues/28631 | [
"Bug"
] | HDBSCAN error with metric cosine
### Describe the bug
Inconsistent HDBSCAN behavior when given a metric that is not supported by KDTree or BallTree.
[docs](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html)
```
metric : str or callable, default=’euclidean’
The metric to use ... | 28,631 | [
-0.048110634088516235,
-0.05016583576798439,
0.01394727360457182,
-0.05103402957320213,
0.03917568549513817,
0.02759690396487713,
0.027166977524757385,
0.04653829336166382,
0.04091470316052437,
-0.02376040257513523,
0.018978629261255264,
-0.013323232531547546,
0.021046483889222145,
0.03751... |
https://github.com/scikit-learn/scikit-learn/issues/28631 | [
"Bug"
] | HDBSCAN error with metric cosine
### Describe the bug
Inconsistent HDBSCAN behavior when given a metric that is not supported by KDTree or BallTree.
[docs](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html)
```
metric : str or callable, default=’euclidean’
The metric to use ... | 28,631 | [
-0.048110634088516235,
-0.05016583576798439,
0.01394727360457182,
-0.05103402957320213,
0.03917568549513817,
0.02759690396487713,
0.027166977524757385,
0.04653829336166382,
0.04091470316052437,
-0.02376040257513523,
0.018978629261255264,
-0.013323232531547546,
0.021046483889222145,
0.03751... |
https://github.com/scikit-learn/scikit-learn/issues/28631 | [
"Bug"
] | HDBSCAN error with metric cosine
### Describe the bug
Inconsistent HDBSCAN behavior when given a metric that is not supported by KDTree or BallTree.
[docs](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html)
```
metric : str or callable, default=’euclidean’
The metric to use ... | 28,631 | [
-0.048110634088516235,
-0.05016583576798439,
0.01394727360457182,
-0.05103402957320213,
0.03917568549513817,
0.02759690396487713,
0.027166977524757385,
0.04653829336166382,
0.04091470316052437,
-0.02376040257513523,
0.018978629261255264,
-0.013323232531547546,
0.021046483889222145,
0.03751... |
https://github.com/scikit-learn/scikit-learn/issues/28631 | [
"Bug"
] | HDBSCAN error with metric cosine
### Describe the bug
Inconsistent HDBSCAN behavior when given a metric that is not supported by KDTree or BallTree.
[docs](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html)
```
metric : str or callable, default=’euclidean’
The metric to use ... | 28,631 | [
-0.048110634088516235,
-0.05016583576798439,
0.01394727360457182,
-0.05103402957320213,
0.03917568549513817,
0.02759690396487713,
0.027166977524757385,
0.04653829336166382,
0.04091470316052437,
-0.02376040257513523,
0.018978629261255264,
-0.013323232531547546,
0.021046483889222145,
0.03751... |
https://github.com/scikit-learn/scikit-learn/issues/28631 | [
"Bug"
] | HDBSCAN error with metric cosine
### Describe the bug
Inconsistent HDBSCAN behavior when given a metric that is not supported by KDTree or BallTree.
[docs](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html)
```
metric : str or callable, default=’euclidean’
The metric to use ... | 28,631 | [
-0.048110634088516235,
-0.05016583576798439,
0.01394727360457182,
-0.05103402957320213,
0.03917568549513817,
0.02759690396487713,
0.027166977524757385,
0.04653829336166382,
0.04091470316052437,
-0.02376040257513523,
0.018978629261255264,
-0.013323232531547546,
0.021046483889222145,
0.03751... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 | [
0.00033822786645032465,
0.08744513243436813,
0.043316181749105453,
-0.025998422876000404,
0.08942136913537979,
0.013459151610732079,
-0.0032447970006614923,
0.021837612614035606,
-0.024823540821671486,
-0.03774010017514229,
-0.02384643629193306,
0.009996616281569004,
-0.011045671999454498,
... |
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