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/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29048 | [
"Enhancement"
] | Make `zero_division` parameter consistent in the different metric
This is an issue to report the step to actually take over the work of @marctorsoc in https://github.com/scikit-learn/scikit-learn/pull/23183 and split the PR into smaller one to facilitate the review process.
The intend is to make the `zero_division` p... | 29,048 |
https://github.com/scikit-learn/scikit-learn/issues/29046 | [
"Enhancement"
] | MAINT define a single time _estimator_has and refactor code
From past discussion, I realized that we are defining the same `_estimator_has` in several places while it does exactly the same job and has the same semantic.
I think we should do a bit of cleaning by moving this function into a submodule in `sklearn.util... | 29,046 |
https://github.com/scikit-learn/scikit-learn/issues/29046 | [
"Enhancement"
] | MAINT define a single time _estimator_has and refactor code
From past discussion, I realized that we are defining the same `_estimator_has` in several places while it does exactly the same job and has the same semantic.
I think we should do a bit of cleaning by moving this function into a submodule in `sklearn.util... | 29,046 |
https://github.com/scikit-learn/scikit-learn/issues/29044 | [
"Bug"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 (last failure: Jun 03, 2024) ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67132&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Jun 03, 2024)
Unable to find junit file. Please see link for det... | 29,044 |
https://github.com/scikit-learn/scikit-learn/issues/29044 | [
"Bug"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 (last failure: Jun 03, 2024) ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67132&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Jun 03, 2024)
Unable to find junit file. Please see link for det... | 29,044 |
https://github.com/scikit-learn/scikit-learn/issues/29043 | [
"Documentation",
"Developer API"
] | Revamp the developer documentation when it comes to roll scikit-learn compatible estimator
I find the documentation helping at writing a scikit-learn estimator a bit oldish: https://scikit-learn.org/dev/developers/develop.html
I think that we could revamp the documentation with a new look. Probably, we would like t... | 29,043 |
https://github.com/scikit-learn/scikit-learn/issues/29042 | [
"Bug"
] | OneHotEncoder fails on missing values when Pandas uses PyArrow backend
### Describe the bug
A while back @thomasjpfan and @lorentzenchr contributed https://github.com/scikit-learn/scikit-learn/pull/17317 which enabled missing value support in `OneHotEncoder`
> For object dtypes, None and np.nan is support for missin... | 29,042 |
https://github.com/scikit-learn/scikit-learn/issues/29042 | [
"Bug"
] | OneHotEncoder fails on missing values when Pandas uses PyArrow backend
### Describe the bug
A while back @thomasjpfan and @lorentzenchr contributed https://github.com/scikit-learn/scikit-learn/pull/17317 which enabled missing value support in `OneHotEncoder`
> For object dtypes, None and np.nan is support for missin... | 29,042 |
https://github.com/scikit-learn/scikit-learn/issues/29042 | [
"Bug"
] | OneHotEncoder fails on missing values when Pandas uses PyArrow backend
### Describe the bug
A while back @thomasjpfan and @lorentzenchr contributed https://github.com/scikit-learn/scikit-learn/pull/17317 which enabled missing value support in `OneHotEncoder`
> For object dtypes, None and np.nan is support for missin... | 29,042 |
https://github.com/scikit-learn/scikit-learn/issues/29042 | [
"Bug"
] | OneHotEncoder fails on missing values when Pandas uses PyArrow backend
### Describe the bug
A while back @thomasjpfan and @lorentzenchr contributed https://github.com/scikit-learn/scikit-learn/pull/17317 which enabled missing value support in `OneHotEncoder`
> For object dtypes, None and np.nan is support for missin... | 29,042 |
https://github.com/scikit-learn/scikit-learn/issues/29040 | [
"Documentation",
"Needs Triage"
] | "Building from source" instructions are outdated
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/developers/advanced_installation.html#building-from-source seems to be a few years old, and doesn't leverage Meson. https://scikit-learn.org/stable/developers/advanced_installation.html#... | 29,040 |
https://github.com/scikit-learn/scikit-learn/issues/29040 | [
"Documentation",
"Needs Triage"
] | "Building from source" instructions are outdated
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/developers/advanced_installation.html#building-from-source seems to be a few years old, and doesn't leverage Meson. https://scikit-learn.org/stable/developers/advanced_installation.html#... | 29,040 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29032 | [
"New Feature"
] | Improve `FunctionTransformer` diagram representation
### Describe the workflow you want to enable
Currently, using multiple `FunctionTransformers` in a pipeline leads to an uninformative view:
```python
import pandas as pd
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTran... | 29,032 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29027 | [
"Documentation",
"Enhancement",
"RFC"
] | DOC Investigate scipy-doctest for more convenient doctests
I learned about [scipy-doctest](https://github.com/scipy/scipy_doctest) recent release in the [Scientific Python Discourse announcement](https://discuss.scientific-python.org/t/ann-scipy-doctest-package/1181). Apparently, scipy-doctest has been used internally... | 29,027 |
https://github.com/scikit-learn/scikit-learn/issues/29019 | [
"Bug",
"Blocker"
] | TunedThreasholdClassifierCV failing inside a SearchCV object
I changed the existing example slightly, to put the estimator inside the SearchCV instead of tuning after the search. Here's the reproducer:
```py
# %%
from sklearn.datasets import fetch_openml
# %%
credit_card = fetch_openml(data_id=1597, as_frame=... | 29,019 |
https://github.com/scikit-learn/scikit-learn/issues/29017 | [
"New Feature",
"Needs Decision"
] | Using decision boundary display to plot the relationship between any 2 features if model is fitted to more than 2 features
### Describe the workflow you want to enable
Currently, it seems like it is not possible to pass in a model that has been fitted to more than 2 features to the DecisionBoundaryDisplay.from_estima... | 29,017 |
https://github.com/scikit-learn/scikit-learn/issues/29017 | [
"New Feature",
"Needs Decision"
] | Using decision boundary display to plot the relationship between any 2 features if model is fitted to more than 2 features
### Describe the workflow you want to enable
Currently, it seems like it is not possible to pass in a model that has been fitted to more than 2 features to the DecisionBoundaryDisplay.from_estima... | 29,017 |
https://github.com/scikit-learn/scikit-learn/issues/29017 | [
"New Feature",
"Needs Decision"
] | Using decision boundary display to plot the relationship between any 2 features if model is fitted to more than 2 features
### Describe the workflow you want to enable
Currently, it seems like it is not possible to pass in a model that has been fitted to more than 2 features to the DecisionBoundaryDisplay.from_estima... | 29,017 |
https://github.com/scikit-learn/scikit-learn/issues/29017 | [
"New Feature",
"Needs Decision"
] | Using decision boundary display to plot the relationship between any 2 features if model is fitted to more than 2 features
### Describe the workflow you want to enable
Currently, it seems like it is not possible to pass in a model that has been fitted to more than 2 features to the DecisionBoundaryDisplay.from_estima... | 29,017 |
https://github.com/scikit-learn/scikit-learn/issues/29017 | [
"New Feature",
"Needs Decision"
] | Using decision boundary display to plot the relationship between any 2 features if model is fitted to more than 2 features
### Describe the workflow you want to enable
Currently, it seems like it is not possible to pass in a model that has been fitted to more than 2 features to the DecisionBoundaryDisplay.from_estima... | 29,017 |
https://github.com/scikit-learn/scikit-learn/issues/29016 | [
"Bug"
] | MultiOutputClassifier does not rely on estimator to provide pairwise tag
### Describe the bug
I use the `MultiOutputClassifier` function to make `SVC` multilabel.
Then, if I use the linear or rbf kernel the cross_validation function works perfectly fine.
However, when I use `SVC` with precomputed kernel is h... | 29,016 |
https://github.com/scikit-learn/scikit-learn/issues/29016 | [
"Bug"
] | MultiOutputClassifier does not rely on estimator to provide pairwise tag
### Describe the bug
I use the `MultiOutputClassifier` function to make `SVC` multilabel.
Then, if I use the linear or rbf kernel the cross_validation function works perfectly fine.
However, when I use `SVC` with precomputed kernel is h... | 29,016 |
https://github.com/scikit-learn/scikit-learn/issues/29016 | [
"Bug"
] | MultiOutputClassifier does not rely on estimator to provide pairwise tag
### Describe the bug
I use the `MultiOutputClassifier` function to make `SVC` multilabel.
Then, if I use the linear or rbf kernel the cross_validation function works perfectly fine.
However, when I use `SVC` with precomputed kernel is h... | 29,016 |
https://github.com/scikit-learn/scikit-learn/issues/29016 | [
"Bug"
] | MultiOutputClassifier does not rely on estimator to provide pairwise tag
### Describe the bug
I use the `MultiOutputClassifier` function to make `SVC` multilabel.
Then, if I use the linear or rbf kernel the cross_validation function works perfectly fine.
However, when I use `SVC` with precomputed kernel is h... | 29,016 |
https://github.com/scikit-learn/scikit-learn/issues/29016 | [
"Bug"
] | MultiOutputClassifier does not rely on estimator to provide pairwise tag
### Describe the bug
I use the `MultiOutputClassifier` function to make `SVC` multilabel.
Then, if I use the linear or rbf kernel the cross_validation function works perfectly fine.
However, when I use `SVC` with precomputed kernel is h... | 29,016 |
https://github.com/scikit-learn/scikit-learn/issues/29013 | [
"Bug",
"Build / CI",
"free-threading"
] | Pyodide build broken by updating meson.build to C17
Scheduled Pyodide build failed today see [build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=66512&view=logs&jobId=6fac3219-cc32-5595-eb73-7f086a643b12&j=6fac3219-cc32-5595-eb73-7f086a643b12&t=6856d197-9931-5ad8-f897-5714e4bdfa31)
```
... | 29,013 |
https://github.com/scikit-learn/scikit-learn/issues/29013 | [
"Bug",
"Build / CI",
"free-threading"
] | Pyodide build broken by updating meson.build to C17
Scheduled Pyodide build failed today see [build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=66512&view=logs&jobId=6fac3219-cc32-5595-eb73-7f086a643b12&j=6fac3219-cc32-5595-eb73-7f086a643b12&t=6856d197-9931-5ad8-f897-5714e4bdfa31)
```
... | 29,013 |
https://github.com/scikit-learn/scikit-learn/issues/29013 | [
"Bug",
"Build / CI",
"free-threading"
] | Pyodide build broken by updating meson.build to C17
Scheduled Pyodide build failed today see [build log](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=66512&view=logs&jobId=6fac3219-cc32-5595-eb73-7f086a643b12&j=6fac3219-cc32-5595-eb73-7f086a643b12&t=6856d197-9931-5ad8-f897-5714e4bdfa31)
```
... | 29,013 |
https://github.com/scikit-learn/scikit-learn/issues/29009 | [
"Documentation"
] | Incorrect documented output shape for `predict` method of linear models when `n_targets` > 1
### Describe the issue linked to the documentation
For some classes under `sklearn.linear_model` such as `LinearRegression`, `Ridge`, `RidgeCV`, and a bunch of others, the documentation for the `predict` method states that ... | 29,009 |
https://github.com/scikit-learn/scikit-learn/issues/29009 | [
"Documentation"
] | Incorrect documented output shape for `predict` method of linear models when `n_targets` > 1
### Describe the issue linked to the documentation
For some classes under `sklearn.linear_model` such as `LinearRegression`, `Ridge`, `RidgeCV`, and a bunch of others, the documentation for the `predict` method states that ... | 29,009 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/29000 | [
"Bug"
] | KFold(n_samples=n) not equivalent to LeaveOneOut() cv in CalibratedClassifierCV()
### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `LeaveOneOut()` say these should be equ... | 29,000 |
https://github.com/scikit-learn/scikit-learn/issues/28996 | [
"New Feature",
"Needs Decision - Include Feature"
] | Enhancement: Add Summary Output for Linear Regression Models
### Describe the workflow you want to enable
While scikit-learn excels in predictive modeling, users often need detailed statistical summaries to interpret their regression results.
I propose we develop options for users wanting comprehensive statistical... | 28,996 |
https://github.com/scikit-learn/scikit-learn/issues/28996 | [
"New Feature",
"Needs Decision - Include Feature"
] | Enhancement: Add Summary Output for Linear Regression Models
### Describe the workflow you want to enable
While scikit-learn excels in predictive modeling, users often need detailed statistical summaries to interpret their regression results.
I propose we develop options for users wanting comprehensive statistical... | 28,996 |
https://github.com/scikit-learn/scikit-learn/issues/28996 | [
"New Feature",
"Needs Decision - Include Feature"
] | Enhancement: Add Summary Output for Linear Regression Models
### Describe the workflow you want to enable
While scikit-learn excels in predictive modeling, users often need detailed statistical summaries to interpret their regression results.
I propose we develop options for users wanting comprehensive statistical... | 28,996 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 |
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