html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k |
|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30596 | [
"Documentation"
] | Improve user experience in the user guide - make it clear to users that images are clickable
### Describe the issue linked to the documentation
In the user guide, it's not very noticeable that it's possible to click on images which then leads users to the example in which the respective image is used and explained ... | 30,596 |
https://github.com/scikit-learn/scikit-learn/issues/30594 | [
"Documentation"
] | DOC: Example of `train_test_split` with `pandas` DataFrames
### Describe the issue linked to the documentation
Currently, the example [here](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) only illustrates the use case of `train_test_split` for `numpy` arrays. I thin... | 30,594 |
https://github.com/scikit-learn/scikit-learn/issues/30594 | [
"Documentation"
] | DOC: Example of `train_test_split` with `pandas` DataFrames
### Describe the issue linked to the documentation
Currently, the example [here](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) only illustrates the use case of `train_test_split` for `numpy` arrays. I thin... | 30,594 |
https://github.com/scikit-learn/scikit-learn/issues/30588 | [
"Needs Triage"
] | BUG: n_outputs problem for RandomForestClassifier when the design matrix is skewed
While investigating a downstream problem in `shap` (https://github.com/shap/shap/issues/3948), I noticed that my reproducer (see below) is producing a `clf[0].tree_.value[0].shape` that is not consistent with a single-output classifier,... | 30,588 |
https://github.com/scikit-learn/scikit-learn/issues/30588 | [
"Needs Triage"
] | BUG: n_outputs problem for RandomForestClassifier when the design matrix is skewed
While investigating a downstream problem in `shap` (https://github.com/shap/shap/issues/3948), I noticed that my reproducer (see below) is producing a `clf[0].tree_.value[0].shape` that is not consistent with a single-output classifier,... | 30,588 |
https://github.com/scikit-learn/scikit-learn/issues/30588 | [
"Needs Triage"
] | BUG: n_outputs problem for RandomForestClassifier when the design matrix is skewed
While investigating a downstream problem in `shap` (https://github.com/shap/shap/issues/3948), I noticed that my reproducer (see below) is producing a `clf[0].tree_.value[0].shape` that is not consistent with a single-output classifier,... | 30,588 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30567 | [
"Build / CI"
] | Provide wheel for Windows ARM64
### Describe the workflow you want to enable
Pretty simple, I want to be able to more easily use scikit-learn on my Windows ARM64 machine.
### Describe your proposed solution
Build a wheel for Windows ARM64.
### Describe alternatives you've considered, if relevant
_No response_
##... | 30,567 |
https://github.com/scikit-learn/scikit-learn/issues/30563 | [
"New Feature",
"Needs Triage"
] | `GridSearchCV` optimization by early elimination of bad performing configurations
### Describe the workflow you want to enable
`GridSearchCV` currently tries every configuration k-times (of `KFold`). But the bad performing configurations could be tried less than k-times. This could decrease the training time/resour... | 30,563 |
https://github.com/scikit-learn/scikit-learn/issues/30563 | [
"New Feature",
"Needs Triage"
] | `GridSearchCV` optimization by early elimination of bad performing configurations
### Describe the workflow you want to enable
`GridSearchCV` currently tries every configuration k-times (of `KFold`). But the bad performing configurations could be tried less than k-times. This could decrease the training time/resour... | 30,563 |
https://github.com/scikit-learn/scikit-learn/issues/30554 | [
"Bug",
"module:tree"
] | scikit-learn 1.6 changed behavior of growing trees
### Describe the bug
While porting scikit-survival to support scikit-learn 1.6, I noticed that one test failed due to trees in a random forest having a different structure (see [this GitHub Actions log](https://github.com/sebp/scikit-survival/actions/runs/124490713... | 30,554 |
https://github.com/scikit-learn/scikit-learn/issues/30554 | [
"Bug",
"module:tree"
] | scikit-learn 1.6 changed behavior of growing trees
### Describe the bug
While porting scikit-survival to support scikit-learn 1.6, I noticed that one test failed due to trees in a random forest having a different structure (see [this GitHub Actions log](https://github.com/sebp/scikit-survival/actions/runs/124490713... | 30,554 |
https://github.com/scikit-learn/scikit-learn/issues/30554 | [
"Bug",
"module:tree"
] | scikit-learn 1.6 changed behavior of growing trees
### Describe the bug
While porting scikit-survival to support scikit-learn 1.6, I noticed that one test failed due to trees in a random forest having a different structure (see [this GitHub Actions log](https://github.com/sebp/scikit-survival/actions/runs/124490713... | 30,554 |
https://github.com/scikit-learn/scikit-learn/issues/30546 | [
"Bug",
"Needs Info"
] | ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (6, 33810) + inhomogeneous part.
Hello Scikit-learn team,
I am encountering an issue while running inference VotingClassifier model with `voting="hard"` argument, I found t... | 30,546 |
https://github.com/scikit-learn/scikit-learn/issues/30546 | [
"Bug",
"Needs Info"
] | ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (6, 33810) + inhomogeneous part.
Hello Scikit-learn team,
I am encountering an issue while running inference VotingClassifier model with `voting="hard"` argument, I found t... | 30,546 |
https://github.com/scikit-learn/scikit-learn/issues/30545 | [
"Documentation"
] | Allows finer costs to be taken into account in learning
### Describe the workflow you want to enable
I am generally trying to take into account costs in learning. The set-up is as follows: a statistical learning problem with usuall X and y, where y is imbalanced (roughly 1% of ones). I also have costs matrices C (see... | 30,545 |
https://github.com/scikit-learn/scikit-learn/issues/30545 | [
"Documentation"
] | Allows finer costs to be taken into account in learning
### Describe the workflow you want to enable
I am generally trying to take into account costs in learning. The set-up is as follows: a statistical learning problem with usuall X and y, where y is imbalanced (roughly 1% of ones). I also have costs matrices C (see... | 30,545 |
https://github.com/scikit-learn/scikit-learn/issues/30545 | [
"Documentation"
] | Allows finer costs to be taken into account in learning
### Describe the workflow you want to enable
I am generally trying to take into account costs in learning. The set-up is as follows: a statistical learning problem with usuall X and y, where y is imbalanced (roughly 1% of ones). I also have costs matrices C (see... | 30,545 |
https://github.com/scikit-learn/scikit-learn/issues/30545 | [
"Documentation"
] | Allows finer costs to be taken into account in learning
### Describe the workflow you want to enable
I am generally trying to take into account costs in learning. The set-up is as follows: a statistical learning problem with usuall X and y, where y is imbalanced (roughly 1% of ones). I also have costs matrices C (see... | 30,545 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30542 | [
"Bug"
] | AttributeError: 'super' object has no attribute '__sklearn_tags__'
### Describe the bug
```python
AttributeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/IPython/core/formatters.py](https://localhost:8080/#) in __call__(self, obj, include, exclude)
... | 30,542 |
https://github.com/scikit-learn/scikit-learn/issues/30541 | [
"Documentation"
] | Glossary: See-also for `components_` attribute references itself
### Describe the issue linked to the documentation
At <https://scikit-learn.org/stable/glossary.html#term-components_>, the `components_` entry references itself:
> See also [components_](https://scikit-learn.org/stable/glossary.html#term-components_... | 30,541 |
https://github.com/scikit-learn/scikit-learn/issues/30541 | [
"Documentation"
] | Glossary: See-also for `components_` attribute references itself
### Describe the issue linked to the documentation
At <https://scikit-learn.org/stable/glossary.html#term-components_>, the `components_` entry references itself:
> See also [components_](https://scikit-learn.org/stable/glossary.html#term-components_... | 30,541 |
https://github.com/scikit-learn/scikit-learn/issues/30541 | [
"Documentation"
] | Glossary: See-also for `components_` attribute references itself
### Describe the issue linked to the documentation
At <https://scikit-learn.org/stable/glossary.html#term-components_>, the `components_` entry references itself:
> See also [components_](https://scikit-learn.org/stable/glossary.html#term-components_... | 30,541 |
https://github.com/scikit-learn/scikit-learn/issues/30541 | [
"Documentation"
] | Glossary: See-also for `components_` attribute references itself
### Describe the issue linked to the documentation
At <https://scikit-learn.org/stable/glossary.html#term-components_>, the `components_` entry references itself:
> See also [components_](https://scikit-learn.org/stable/glossary.html#term-components_... | 30,541 |
https://github.com/scikit-learn/scikit-learn/issues/30541 | [
"Documentation"
] | Glossary: See-also for `components_` attribute references itself
### Describe the issue linked to the documentation
At <https://scikit-learn.org/stable/glossary.html#term-components_>, the `components_` entry references itself:
> See also [components_](https://scikit-learn.org/stable/glossary.html#term-components_... | 30,541 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30540 | [
"Bug",
"Needs Triage"
] | Failure generating a pdf of the documentations using make latexpdf
### Describe the bug
Hi sklearn team and fans,
I am trying to generate a pdf of the documentations to be able to read/use sklearn documentations offline. On multiple systems ranging from Macos (ARM or AMD processors) to Ubuntu, I am facing this iss... | 30,540 |
https://github.com/scikit-learn/scikit-learn/issues/30527 | [
"Bug",
"Metadata Routing"
] | Feature Selectors fail to route metadata when inside a Pipeline
### Describe the bug
According to the [metadata routing docs](https://scikit-learn.org/1.6/metadata_routing.html#metadata-routing-support-status), Feature Selectors only have four classes that support metadata routing (as of v1.6):
- [sklearn.feature_... | 30,527 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30525 | [
"Bug",
"Performance",
"Needs Investigation"
] | OPTICS.fit leaks memory when called under VS Code's built-in debugger
### Describe the bug
Running clustering algorithm with n_jobs parameter set to more than 1 thread causes memory leak each time algorithm is run.
This simple code causes additional memory leak at each loop cycle. The issue will not occur if i rep... | 30,525 |
https://github.com/scikit-learn/scikit-learn/issues/30524 | [
"Documentation"
] | A helpful warning when adding sparsity constraints to NMF
### Describe the issue linked to the documentation
Currently the documentation of [NMF](https://scikit-learn.org/dev/modules/generated/sklearn.decomposition.NMF.html), as well as extensions like the [MiniBatchNMF](https://scikit-learn.org/dev/modules/generat... | 30,524 |
https://github.com/scikit-learn/scikit-learn/issues/30524 | [
"Documentation"
] | A helpful warning when adding sparsity constraints to NMF
### Describe the issue linked to the documentation
Currently the documentation of [NMF](https://scikit-learn.org/dev/modules/generated/sklearn.decomposition.NMF.html), as well as extensions like the [MiniBatchNMF](https://scikit-learn.org/dev/modules/generat... | 30,524 |
https://github.com/scikit-learn/scikit-learn/issues/30524 | [
"Documentation"
] | A helpful warning when adding sparsity constraints to NMF
### Describe the issue linked to the documentation
Currently the documentation of [NMF](https://scikit-learn.org/dev/modules/generated/sklearn.decomposition.NMF.html), as well as extensions like the [MiniBatchNMF](https://scikit-learn.org/dev/modules/generat... | 30,524 |
https://github.com/scikit-learn/scikit-learn/issues/30512 | [
"Bug"
] | Fail to pickle `SplineTransformer` with `scipy==1.15.0rc1`
### Describe the bug
Spotted in scikit-lego, running `check_estimators_pickle` fails with `SplineTransformer` and `readonly_memmap=True`.
cc: @koaning
### Steps/Code to Reproduce
```py
from sklearn.utils.estimator_checks import check_estimators_pickle
... | 30,512 |
https://github.com/scikit-learn/scikit-learn/issues/30512 | [
"Bug"
] | Fail to pickle `SplineTransformer` with `scipy==1.15.0rc1`
### Describe the bug
Spotted in scikit-lego, running `check_estimators_pickle` fails with `SplineTransformer` and `readonly_memmap=True`.
cc: @koaning
### Steps/Code to Reproduce
```py
from sklearn.utils.estimator_checks import check_estimators_pickle
... | 30,512 |
https://github.com/scikit-learn/scikit-learn/issues/30512 | [
"Bug"
] | Fail to pickle `SplineTransformer` with `scipy==1.15.0rc1`
### Describe the bug
Spotted in scikit-lego, running `check_estimators_pickle` fails with `SplineTransformer` and `readonly_memmap=True`.
cc: @koaning
### Steps/Code to Reproduce
```py
from sklearn.utils.estimator_checks import check_estimators_pickle
... | 30,512 |
https://github.com/scikit-learn/scikit-learn/issues/30512 | [
"Bug"
] | Fail to pickle `SplineTransformer` with `scipy==1.15.0rc1`
### Describe the bug
Spotted in scikit-lego, running `check_estimators_pickle` fails with `SplineTransformer` and `readonly_memmap=True`.
cc: @koaning
### Steps/Code to Reproduce
```py
from sklearn.utils.estimator_checks import check_estimators_pickle
... | 30,512 |
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