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/28479 | [
"New Feature",
"Needs Triage"
] | Allow `NaN` in feature selectors when estimator does Imputation
### Describe the workflow you want to enable
I would like to perform feature selection (e.g.: `SequentialFeatureSelector`) on data containing "NaN/null" values where my estimator does the imputation in a pipeline.
example
```python
from sklearn.da... | 28,479 |
https://github.com/scikit-learn/scikit-learn/issues/28474 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.PassiveAggressiveRegressor`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.PassiveAggressiveRegressor`](https://scikit-learn.org/dev/modules/generated... | 28,474 |
https://github.com/scikit-learn/scikit-learn/issues/28474 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.PassiveAggressiveRegressor`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.PassiveAggressiveRegressor`](https://scikit-learn.org/dev/modules/generated... | 28,474 |
https://github.com/scikit-learn/scikit-learn/issues/28473 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.compose.TransformedTargetRegressor`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.compose.TransformedTargetRegressor`](https://scikit-learn.org/dev/modules/generated/sklearn.c... | 28,473 |
https://github.com/scikit-learn/scikit-learn/issues/28472 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.decomposition.KernelPCA`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.decomposition.KernelPCA`](https://scikit-learn.org/dev/modules/generated/sklearn.decomposition.KernelPCA... | 28,472 |
https://github.com/scikit-learn/scikit-learn/issues/28472 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.decomposition.KernelPCA`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.decomposition.KernelPCA`](https://scikit-learn.org/dev/modules/generated/sklearn.decomposition.KernelPCA... | 28,472 |
https://github.com/scikit-learn/scikit-learn/issues/28470 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.cluster.SpectralClustering`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.cluster.SpectralClustering`](https://scikit-learn.org/dev/modules/generated/sklearn.cluster.SpectralC... | 28,470 |
https://github.com/scikit-learn/scikit-learn/issues/28470 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.cluster.SpectralClustering`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.cluster.SpectralClustering`](https://scikit-learn.org/dev/modules/generated/sklearn.cluster.SpectralC... | 28,470 |
https://github.com/scikit-learn/scikit-learn/issues/28470 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.cluster.SpectralClustering`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.cluster.SpectralClustering`](https://scikit-learn.org/dev/modules/generated/sklearn.cluster.SpectralC... | 28,470 |
https://github.com/scikit-learn/scikit-learn/issues/28470 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.cluster.SpectralClustering`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.cluster.SpectralClustering`](https://scikit-learn.org/dev/modules/generated/sklearn.cluster.SpectralC... | 28,470 |
https://github.com/scikit-learn/scikit-learn/issues/28470 | [
"Documentation",
"Needs Triage"
] | Suggesting updates on the doc of `sklearn.cluster.SpectralClustering`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.cluster.SpectralClustering`](https://scikit-learn.org/dev/modules/generated/sklearn.cluster.SpectralC... | 28,470 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28469 | [
"Documentation"
] | Suggesting updates on the doc of `sklearn.linear_model.OrthogonalMatchingPursuit`
### Describe the issue linked to the documentation
Hi,
We discover an inconsistency issue between documentation and code in the class [`sklearn.linear_model.OrthogonalMatchingPursuit`](https://scikit-learn.org/dev/modules/generated... | 28,469 |
https://github.com/scikit-learn/scikit-learn/issues/28467 | [
"API",
"Needs Decision",
"Needs Decision - Close",
"Metadata Routing"
] | RFC Revisiting meta-routing developer API for defining method mappings
For metadata routing, meta-estimators define method mappings through this API:
```python
router = MetadataRouter(...).add(
method_mapping=MethodMapping()
.add(callee="fit", caller="fit")
.add(callee="transform", caller="fit")
... | 28,467 |
https://github.com/scikit-learn/scikit-learn/issues/28467 | [
"API",
"Needs Decision",
"Needs Decision - Close",
"Metadata Routing"
] | RFC Revisiting meta-routing developer API for defining method mappings
For metadata routing, meta-estimators define method mappings through this API:
```python
router = MetadataRouter(...).add(
method_mapping=MethodMapping()
.add(callee="fit", caller="fit")
.add(callee="transform", caller="fit")
... | 28,467 |
https://github.com/scikit-learn/scikit-learn/issues/28467 | [
"API",
"Needs Decision",
"Needs Decision - Close",
"Metadata Routing"
] | RFC Revisiting meta-routing developer API for defining method mappings
For metadata routing, meta-estimators define method mappings through this API:
```python
router = MetadataRouter(...).add(
method_mapping=MethodMapping()
.add(callee="fit", caller="fit")
.add(callee="transform", caller="fit")
... | 28,467 |
https://github.com/scikit-learn/scikit-learn/issues/28467 | [
"API",
"Needs Decision",
"Needs Decision - Close",
"Metadata Routing"
] | RFC Revisiting meta-routing developer API for defining method mappings
For metadata routing, meta-estimators define method mappings through this API:
```python
router = MetadataRouter(...).add(
method_mapping=MethodMapping()
.add(callee="fit", caller="fit")
.add(callee="transform", caller="fit")
... | 28,467 |
https://github.com/scikit-learn/scikit-learn/issues/28467 | [
"API",
"Needs Decision",
"Needs Decision - Close",
"Metadata Routing"
] | RFC Revisiting meta-routing developer API for defining method mappings
For metadata routing, meta-estimators define method mappings through this API:
```python
router = MetadataRouter(...).add(
method_mapping=MethodMapping()
.add(callee="fit", caller="fit")
.add(callee="transform", caller="fit")
... | 28,467 |
https://github.com/scikit-learn/scikit-learn/issues/28462 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder doesn't recognize np.nan in np.array with multiple entries
### Describe the bug
Hello friends, first time opening a bug report here. Don't hesitate to let me know if I should be doing this differently.
When a multi-element array is passed in to transform() method, np.nan are treated as `unknown_v... | 28,462 |
https://github.com/scikit-learn/scikit-learn/issues/28462 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder doesn't recognize np.nan in np.array with multiple entries
### Describe the bug
Hello friends, first time opening a bug report here. Don't hesitate to let me know if I should be doing this differently.
When a multi-element array is passed in to transform() method, np.nan are treated as `unknown_v... | 28,462 |
https://github.com/scikit-learn/scikit-learn/issues/28462 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder doesn't recognize np.nan in np.array with multiple entries
### Describe the bug
Hello friends, first time opening a bug report here. Don't hesitate to let me know if I should be doing this differently.
When a multi-element array is passed in to transform() method, np.nan are treated as `unknown_v... | 28,462 |
https://github.com/scikit-learn/scikit-learn/issues/28462 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder doesn't recognize np.nan in np.array with multiple entries
### Describe the bug
Hello friends, first time opening a bug report here. Don't hesitate to let me know if I should be doing this differently.
When a multi-element array is passed in to transform() method, np.nan are treated as `unknown_v... | 28,462 |
https://github.com/scikit-learn/scikit-learn/issues/28454 | [
"Documentation"
] | Very old notes in docstrings
### Describe the issue linked to the documentation
In `sklearn/feature_extraction/image.py` very old notes are contained in the docstrings of two functions:
https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/feature_extraction/image.py#L178-L185
and
https://github.com... | 28,454 |
https://github.com/scikit-learn/scikit-learn/issues/28454 | [
"Documentation"
] | Very old notes in docstrings
### Describe the issue linked to the documentation
In `sklearn/feature_extraction/image.py` very old notes are contained in the docstrings of two functions:
https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/feature_extraction/image.py#L178-L185
and
https://github.com... | 28,454 |
https://github.com/scikit-learn/scikit-learn/issues/28454 | [
"Documentation"
] | Very old notes in docstrings
### Describe the issue linked to the documentation
In `sklearn/feature_extraction/image.py` very old notes are contained in the docstrings of two functions:
https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/feature_extraction/image.py#L178-L185
and
https://github.com... | 28,454 |
https://github.com/scikit-learn/scikit-learn/issues/28454 | [
"Documentation"
] | Very old notes in docstrings
### Describe the issue linked to the documentation
In `sklearn/feature_extraction/image.py` very old notes are contained in the docstrings of two functions:
https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/feature_extraction/image.py#L178-L185
and
https://github.com... | 28,454 |
https://github.com/scikit-learn/scikit-learn/issues/28452 | [
"New Feature"
] | Adding a log1p transformer compatible with Pipeline and Grid Search
### Describe the workflow you want to enable
Using a pipeline and a grid search, i want to check if it is better to pass log1p functions some columns, depending a skew threshold.
The code should go like this for the pipeline :
```python
pi... | 28,452 |
https://github.com/scikit-learn/scikit-learn/issues/28443 | [
"New Feature"
] | ENH Plots for partial dependence and ICE of categoricals
### Describe the workflow you want to enable
Having support of categorical features in `inspection.partial_dependence()` and `inspection.PartialDependenceDisplay()` is great. However, I would like to challenge the current visualization as **bar plot**.
- B... | 28,443 |
https://github.com/scikit-learn/scikit-learn/issues/28443 | [
"New Feature"
] | ENH Plots for partial dependence and ICE of categoricals
### Describe the workflow you want to enable
Having support of categorical features in `inspection.partial_dependence()` and `inspection.PartialDependenceDisplay()` is great. However, I would like to challenge the current visualization as **bar plot**.
- B... | 28,443 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28437 | [
"New Feature",
"Needs Decision"
] | Allow boosting of estimators in scikit-learn pipelines using residuals
### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import... | 28,437 |
https://github.com/scikit-learn/scikit-learn/issues/28430 | [
"Bug"
] | Name of a class impacts the value of its __metadata_request__* variables
### Describe the bug
The metadata request of an object are dependent on its name.
Basically identical class can have different behaviours when calling `class()._get_metadata_request())` if they have different name.
### Steps/Code to Reproduce
... | 28,430 |
https://github.com/scikit-learn/scikit-learn/issues/28429 | [
"Bug",
"Needs Triage"
] | preprocesor gives a Value Error when using Simple Imputer + StandardScaler in Pipeline (reopened issue)
### Describe the bug
I get a ValueError when using classifier.predict with a variable that has been preprocesse diwht a ColumnTransofrmer that uses SimpleIMputer+StandardScaler with numerical var and OneHotEncoder ... | 28,429 |
https://github.com/scikit-learn/scikit-learn/issues/28429 | [
"Bug",
"Needs Triage"
] | preprocesor gives a Value Error when using Simple Imputer + StandardScaler in Pipeline (reopened issue)
### Describe the bug
I get a ValueError when using classifier.predict with a variable that has been preprocesse diwht a ColumnTransofrmer that uses SimpleIMputer+StandardScaler with numerical var and OneHotEncoder ... | 28,429 |
https://github.com/scikit-learn/scikit-learn/issues/28410 | [
"New Feature",
"Needs Triage"
] | Provide stubs for TargetEncoder
### Describe the workflow you want to enable
Being able to get autocompletions and type checking for sklearn.preprocessing.TargetEncoder
### Describe your proposed solution
I noticed that TargetEncoder was failing to be recognized by pylance/pyright. I assume that being a relatively ... | 28,410 |
https://github.com/scikit-learn/scikit-learn/issues/28410 | [
"New Feature",
"Needs Triage"
] | Provide stubs for TargetEncoder
### Describe the workflow you want to enable
Being able to get autocompletions and type checking for sklearn.preprocessing.TargetEncoder
### Describe your proposed solution
I noticed that TargetEncoder was failing to be recognized by pylance/pyright. I assume that being a relatively ... | 28,410 |
https://github.com/scikit-learn/scikit-learn/issues/28410 | [
"New Feature",
"Needs Triage"
] | Provide stubs for TargetEncoder
### Describe the workflow you want to enable
Being able to get autocompletions and type checking for sklearn.preprocessing.TargetEncoder
### Describe your proposed solution
I noticed that TargetEncoder was failing to be recognized by pylance/pyright. I assume that being a relatively ... | 28,410 |
https://github.com/scikit-learn/scikit-learn/issues/28410 | [
"New Feature",
"Needs Triage"
] | Provide stubs for TargetEncoder
### Describe the workflow you want to enable
Being able to get autocompletions and type checking for sklearn.preprocessing.TargetEncoder
### Describe your proposed solution
I noticed that TargetEncoder was failing to be recognized by pylance/pyright. I assume that being a relatively ... | 28,410 |
https://github.com/scikit-learn/scikit-learn/issues/28406 | [
"Documentation",
"Enhancement",
"help wanted"
] | PCA supports sparse now, docs suggest otherwise.
### Describe the issue linked to the documentation
The [latest release notes for 1.4](https://scikit-learn.org/stable/whats_new/v1.4.html) say the following about PCA.
> Feature [decomposition.PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decompo... | 28,406 |
https://github.com/scikit-learn/scikit-learn/issues/28406 | [
"Documentation",
"Enhancement",
"help wanted"
] | PCA supports sparse now, docs suggest otherwise.
### Describe the issue linked to the documentation
The [latest release notes for 1.4](https://scikit-learn.org/stable/whats_new/v1.4.html) say the following about PCA.
> Feature [decomposition.PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decompo... | 28,406 |
https://github.com/scikit-learn/scikit-learn/issues/28406 | [
"Documentation",
"Enhancement",
"help wanted"
] | PCA supports sparse now, docs suggest otherwise.
### Describe the issue linked to the documentation
The [latest release notes for 1.4](https://scikit-learn.org/stable/whats_new/v1.4.html) say the following about PCA.
> Feature [decomposition.PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decompo... | 28,406 |
https://github.com/scikit-learn/scikit-learn/issues/28406 | [
"Documentation",
"Enhancement",
"help wanted"
] | PCA supports sparse now, docs suggest otherwise.
### Describe the issue linked to the documentation
The [latest release notes for 1.4](https://scikit-learn.org/stable/whats_new/v1.4.html) say the following about PCA.
> Feature [decomposition.PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decompo... | 28,406 |
https://github.com/scikit-learn/scikit-learn/issues/28400 | [
"New Feature"
] | More intuitive check on GaussianMixture initialization
### Describe the workflow you want to enable
Hey!
I am using GaussianMixture and testing different initialization methods (kmeans, random, k-means++ and random_from_data). When I ran the code using `"init_params==kmeans++"` an error was produced in `sklearn/... | 28,400 |
https://github.com/scikit-learn/scikit-learn/issues/28400 | [
"New Feature"
] | More intuitive check on GaussianMixture initialization
### Describe the workflow you want to enable
Hey!
I am using GaussianMixture and testing different initialization methods (kmeans, random, k-means++ and random_from_data). When I ran the code using `"init_params==kmeans++"` an error was produced in `sklearn/... | 28,400 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28395 | [
"Bug",
"Needs Triage"
] | Data Frame columns get shuffled when applying "SimpleImputer".
### Describe the bug
When i apply the simple imputer to fill the missing values after imputation the columns get shuffled. It is difficult to find the and columns and name them.
![Screenshot 2024-02-10 141458](https://github.com/scikit-learn/scikit-learn... | 28,395 |
https://github.com/scikit-learn/scikit-learn/issues/28392 | [
"New Feature",
"Needs Triage"
] | Add transformations to target column
### Describe the workflow you want to enable
I would like Pipelines to allow the transformation of the target columns of a dataset.
Additionally, to complement this, this transformation should be able to be reversed at the end of a pipeline, which is now impossible, as intermed... | 28,392 |
https://github.com/scikit-learn/scikit-learn/issues/28392 | [
"New Feature",
"Needs Triage"
] | Add transformations to target column
### Describe the workflow you want to enable
I would like Pipelines to allow the transformation of the target columns of a dataset.
Additionally, to complement this, this transformation should be able to be reversed at the end of a pipeline, which is now impossible, as intermed... | 28,392 |
https://github.com/scikit-learn/scikit-learn/issues/28392 | [
"New Feature",
"Needs Triage"
] | Add transformations to target column
### Describe the workflow you want to enable
I would like Pipelines to allow the transformation of the target columns of a dataset.
Additionally, to complement this, this transformation should be able to be reversed at the end of a pipeline, which is now impossible, as intermed... | 28,392 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
## CI is no l... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
Looking at th... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
In an ideal w... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
When I say sm... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
Cross-linking... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28391 | [
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=65359&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Mar 28, 2024)
Unable to find junit file. Please see link for details.
COMMENT:
I am +1 on do... | 28,391 |
https://github.com/scikit-learn/scikit-learn/issues/28389 | [
"Bug",
"Validation"
] | Apparent mismatch between possible arguments for `average` in the base stochastic gradient class
### Describe the bug
Raised in https://github.com/scikit-learn/scikit-learn/pull/28373#discussion_r1482869890.
The `average` parameter in [`BaseSGD`](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/li... | 28,389 |
https://github.com/scikit-learn/scikit-learn/issues/28389 | [
"Bug",
"Validation"
] | Apparent mismatch between possible arguments for `average` in the base stochastic gradient class
### Describe the bug
Raised in https://github.com/scikit-learn/scikit-learn/pull/28373#discussion_r1482869890.
The `average` parameter in [`BaseSGD`](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/li... | 28,389 |
https://github.com/scikit-learn/scikit-learn/issues/28389 | [
"Bug",
"Validation"
] | Apparent mismatch between possible arguments for `average` in the base stochastic gradient class
### Describe the bug
Raised in https://github.com/scikit-learn/scikit-learn/pull/28373#discussion_r1482869890.
The `average` parameter in [`BaseSGD`](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/li... | 28,389 |
https://github.com/scikit-learn/scikit-learn/issues/28389 | [
"Bug",
"Validation"
] | Apparent mismatch between possible arguments for `average` in the base stochastic gradient class
### Describe the bug
Raised in https://github.com/scikit-learn/scikit-learn/pull/28373#discussion_r1482869890.
The `average` parameter in [`BaseSGD`](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/li... | 28,389 |
https://github.com/scikit-learn/scikit-learn/issues/28389 | [
"Bug",
"Validation"
] | Apparent mismatch between possible arguments for `average` in the base stochastic gradient class
### Describe the bug
Raised in https://github.com/scikit-learn/scikit-learn/pull/28373#discussion_r1482869890.
The `average` parameter in [`BaseSGD`](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/li... | 28,389 |
https://github.com/scikit-learn/scikit-learn/issues/28386 | [
"New Feature"
] | Proper sparse support in `IncrementalPCA`
### Describe the workflow you want to enable
As of version 1.4 the implementation for PCA supports sparse inputs. That's grand, but the PCA implementation doesn't offer a `.partial_fit()` method. The `IncrementalPCA` does, but the way it handles sparse input is by casting it ... | 28,386 |
https://github.com/scikit-learn/scikit-learn/issues/28369 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/7794393529)** (Feb 06, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/7809629058) on Feb 07, 2024 | 28,369 |
https://github.com/scikit-learn/scikit-learn/issues/28368 | [
"Bug",
"help wanted",
"module:manifold",
"cython"
] | Crash in T-SNE
### Describe the bug
I got a crash using the (external) [hdbscan package](https://github.com/scikit-learn-contrib/hdbscan) in some special situation. I [debugged it](https://github.com/scikit-learn-contrib/hdbscan/issues/623) and found out that it happens in the scikit-learn package, specifically its... | 28,368 |
https://github.com/scikit-learn/scikit-learn/issues/28368 | [
"Bug",
"help wanted",
"module:manifold",
"cython"
] | Crash in T-SNE
### Describe the bug
I got a crash using the (external) [hdbscan package](https://github.com/scikit-learn-contrib/hdbscan) in some special situation. I [debugged it](https://github.com/scikit-learn-contrib/hdbscan/issues/623) and found out that it happens in the scikit-learn package, specifically its... | 28,368 |
https://github.com/scikit-learn/scikit-learn/issues/28368 | [
"Bug",
"help wanted",
"module:manifold",
"cython"
] | Crash in T-SNE
### Describe the bug
I got a crash using the (external) [hdbscan package](https://github.com/scikit-learn-contrib/hdbscan) in some special situation. I [debugged it](https://github.com/scikit-learn-contrib/hdbscan/issues/623) and found out that it happens in the scikit-learn package, specifically its... | 28,368 |
https://github.com/scikit-learn/scikit-learn/issues/28368 | [
"Bug",
"help wanted",
"module:manifold",
"cython"
] | Crash in T-SNE
### Describe the bug
I got a crash using the (external) [hdbscan package](https://github.com/scikit-learn-contrib/hdbscan) in some special situation. I [debugged it](https://github.com/scikit-learn-contrib/hdbscan/issues/623) and found out that it happens in the scikit-learn package, specifically its... | 28,368 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28367 | [
"Bug",
"Needs Reproducible Code"
] | unit test failures on x64 darwin and scipy 1.12
### Describe the bug
after upgrading from scipy 1.11.4 -> 1.12 x64 darwin build fails with multiple unit test failures.
https://hydra.nixos.org/build/247540976
[raw log](https://cache.nixos.org/log/d449kn87qr1kcca138gd9pl14qg1nnxg-python3.11-scikit-learn-1.4.0.drv)
... | 28,367 |
https://github.com/scikit-learn/scikit-learn/issues/28366 | [
"Bug",
"Needs Triage"
] | nested columntransformers missing _columns with metadata_routing enabled
### Describe the bug
When calling fit on a nested column transformer within a pipeline an AttributeError is raised. When fit is called, `process_routing` is invoked which in turn calls _iter and zips with self._columns. But _columns is not reali... | 28,366 |
https://github.com/scikit-learn/scikit-learn/issues/28366 | [
"Bug",
"Needs Triage"
] | nested columntransformers missing _columns with metadata_routing enabled
### Describe the bug
When calling fit on a nested column transformer within a pipeline an AttributeError is raised. When fit is called, `process_routing` is invoked which in turn calls _iter and zips with self._columns. But _columns is not reali... | 28,366 |
https://github.com/scikit-learn/scikit-learn/issues/28356 | [
"Needs Triage"
] | Allow AUC precision to be specified by user rather than hard-coded to 0.2f
Currently when calling the `RocCurveDisplay.from_predictions()` function, there's no way to specify the AUC precision.
2 decimal places is sufficient for most situations, but many times the user needs higher precision. The API should be mod... | 28,356 |
https://github.com/scikit-learn/scikit-learn/issues/28356 | [
"Needs Triage"
] | Allow AUC precision to be specified by user rather than hard-coded to 0.2f
Currently when calling the `RocCurveDisplay.from_predictions()` function, there's no way to specify the AUC precision.
2 decimal places is sufficient for most situations, but many times the user needs higher precision. The API should be mod... | 28,356 |
https://github.com/scikit-learn/scikit-learn/issues/28356 | [
"Needs Triage"
] | Allow AUC precision to be specified by user rather than hard-coded to 0.2f
Currently when calling the `RocCurveDisplay.from_predictions()` function, there's no way to specify the AUC precision.
2 decimal places is sufficient for most situations, but many times the user needs higher precision. The API should be mod... | 28,356 |
https://github.com/scikit-learn/scikit-learn/issues/28350 | [
"Bug"
] | GridSearchCV with PCA returns `object` masked array
### Describe the bug
I noticed this while looking into https://github.com/scikit-learn/scikit-learn/pull/28345
The dtype of the `components_col` is `object`, which means that the pandas object which is then created is of dtype `object`.
### Steps/Code to Rep... | 28,350 |
https://github.com/scikit-learn/scikit-learn/issues/28341 | [
"RFC"
] | RFC switch to Polars as the default dataframe lib in our examples
We now support polars as an output for our transformers and `ColumnTransformer`, but our examples use `pd.DataFrame`.
Our `datasets` module also returnes either a numpy array or a pandas DataFrame.
I'm suggesting that we enable datasets to return ... | 28,341 |
https://github.com/scikit-learn/scikit-learn/issues/28341 | [
"RFC"
] | RFC switch to Polars as the default dataframe lib in our examples
We now support polars as an output for our transformers and `ColumnTransformer`, but our examples use `pd.DataFrame`.
Our `datasets` module also returnes either a numpy array or a pandas DataFrame.
I'm suggesting that we enable datasets to return ... | 28,341 |
https://github.com/scikit-learn/scikit-learn/issues/28341 | [
"RFC"
] | RFC switch to Polars as the default dataframe lib in our examples
We now support polars as an output for our transformers and `ColumnTransformer`, but our examples use `pd.DataFrame`.
Our `datasets` module also returnes either a numpy array or a pandas DataFrame.
I'm suggesting that we enable datasets to return ... | 28,341 |
https://github.com/scikit-learn/scikit-learn/issues/28341 | [
"RFC"
] | RFC switch to Polars as the default dataframe lib in our examples
We now support polars as an output for our transformers and `ColumnTransformer`, but our examples use `pd.DataFrame`.
Our `datasets` module also returnes either a numpy array or a pandas DataFrame.
I'm suggesting that we enable datasets to return ... | 28,341 |
https://github.com/scikit-learn/scikit-learn/issues/28341 | [
"RFC"
] | RFC switch to Polars as the default dataframe lib in our examples
We now support polars as an output for our transformers and `ColumnTransformer`, but our examples use `pd.DataFrame`.
Our `datasets` module also returnes either a numpy array or a pandas DataFrame.
I'm suggesting that we enable datasets to return ... | 28,341 |
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