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/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
https://github.com/scikit-learn/scikit-learn/issues/26762 | [
"New Feature",
"Needs Reproducible Code"
] | MLPClassifier don't support target with multiclass-multioutput input.
### Describe the workflow you want to enable
I once expanded my [software](https://pypi.org/project/perming/)'s algorithm input datatype and found that it did not support multiclass-multioutput in the main algorithm (similar to [MLPClassifier in ... | 26,762 |
https://github.com/scikit-learn/scikit-learn/issues/26762 | [
"New Feature",
"Needs Reproducible Code"
] | MLPClassifier don't support target with multiclass-multioutput input.
### Describe the workflow you want to enable
I once expanded my [software](https://pypi.org/project/perming/)'s algorithm input datatype and found that it did not support multiclass-multioutput in the main algorithm (similar to [MLPClassifier in ... | 26,762 |
https://github.com/scikit-learn/scikit-learn/issues/26762 | [
"New Feature",
"Needs Reproducible Code"
] | MLPClassifier don't support target with multiclass-multioutput input.
### Describe the workflow you want to enable
I once expanded my [software](https://pypi.org/project/perming/)'s algorithm input datatype and found that it did not support multiclass-multioutput in the main algorithm (similar to [MLPClassifier in ... | 26,762 |
https://github.com/scikit-learn/scikit-learn/issues/26762 | [
"New Feature",
"Needs Reproducible Code"
] | MLPClassifier don't support target with multiclass-multioutput input.
### Describe the workflow you want to enable
I once expanded my [software](https://pypi.org/project/perming/)'s algorithm input datatype and found that it did not support multiclass-multioutput in the main algorithm (similar to [MLPClassifier in ... | 26,762 |
https://github.com/scikit-learn/scikit-learn/issues/26761 | [
"Bug"
] | "reference target not found" in doc build of nilearn with sklearn 1.3.0: metadata_routing ?
### Describe the bug
The build of the doc of nilearn is throwing new warnings since the release of the new version of sklearn.
The main ones look like the 2 examples below:
```
2023-07-03T08:27:09.5655542Z /usr/share/... | 26,761 |
https://github.com/scikit-learn/scikit-learn/issues/26761 | [
"Bug"
] | "reference target not found" in doc build of nilearn with sklearn 1.3.0: metadata_routing ?
### Describe the bug
The build of the doc of nilearn is throwing new warnings since the release of the new version of sklearn.
The main ones look like the 2 examples below:
```
2023-07-03T08:27:09.5655542Z /usr/share/... | 26,761 |
https://github.com/scikit-learn/scikit-learn/issues/26752 | [
"Bug",
"Needs Triage"
] | HistGradientBoostingRegressor is slower when torch not imported
### Describe the bug
This is perhaps not a bug but an opportunity for improvement. I've noticed that scikit-learn runs considerably faster if I happen to have `import torch` before any `sklearn` imports.
This first block of code runs much slower:
`... | 26,752 |
https://github.com/scikit-learn/scikit-learn/issues/26752 | [
"Bug",
"Needs Triage"
] | HistGradientBoostingRegressor is slower when torch not imported
### Describe the bug
This is perhaps not a bug but an opportunity for improvement. I've noticed that scikit-learn runs considerably faster if I happen to have `import torch` before any `sklearn` imports.
This first block of code runs much slower:
`... | 26,752 |
https://github.com/scikit-learn/scikit-learn/issues/26750 | [
"Bug",
"Needs Triage"
] | BUG - _most_frequent() uses scipy's mode() throwing IndexError
### Describe the bug
I am getting IndexError and it seems that it has started to happen after the recent release of scipy's latest version. I am using the following code:
As per my understanding the error is orignating from _most_frequent() in _base.... | 26,750 |
https://github.com/scikit-learn/scikit-learn/issues/26750 | [
"Bug",
"Needs Triage"
] | BUG - _most_frequent() uses scipy's mode() throwing IndexError
### Describe the bug
I am getting IndexError and it seems that it has started to happen after the recent release of scipy's latest version. I am using the following code:
As per my understanding the error is orignating from _most_frequent() in _base.... | 26,750 |
https://github.com/scikit-learn/scikit-learn/issues/26750 | [
"Bug",
"Needs Triage"
] | BUG - _most_frequent() uses scipy's mode() throwing IndexError
### Describe the bug
I am getting IndexError and it seems that it has started to happen after the recent release of scipy's latest version. I am using the following code:
As per my understanding the error is orignating from _most_frequent() in _base.... | 26,750 |
https://github.com/scikit-learn/scikit-learn/issues/26745 | [
"Needs Triage"
] | ⚠️ CI failed on macos_arm64_wheel ⚠️
**CI is still failing on [macos_arm64_wheel](https://cirrus-ci.com/build/6005263916859392)** (Jul 12, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/6738937880772608) on Jul 17, 2023 | 26,745 |
https://github.com/scikit-learn/scikit-learn/issues/26745 | [
"Needs Triage"
] | ⚠️ CI failed on macos_arm64_wheel ⚠️
**CI is still failing on [macos_arm64_wheel](https://cirrus-ci.com/build/6005263916859392)** (Jul 12, 2023)
COMMENT:
I am confused by the "CI is no longer failing!" comment above. The linked cirrus ci run is still failing:
https://cirrus-ci.com/task/6245314470871040
The prob... | 26,745 |
https://github.com/scikit-learn/scikit-learn/issues/26745 | [
"Needs Triage"
] | ⚠️ CI failed on macos_arm64_wheel ⚠️
**CI is still failing on [macos_arm64_wheel](https://cirrus-ci.com/build/6005263916859392)** (Jul 12, 2023)
COMMENT:
Note: scipy 1.11.0 was recently yanked and instead scipy 1.11.1 was released instead:
- https://pypi.org/project/scipy/#history | 26,745 |
https://github.com/scikit-learn/scikit-learn/issues/26745 | [
"Needs Triage"
] | ⚠️ CI failed on macos_arm64_wheel ⚠️
**CI is still failing on [macos_arm64_wheel](https://cirrus-ci.com/build/6005263916859392)** (Jul 12, 2023)
COMMENT:
> I am confused by the "CI is no longer failing!" comment above. The linked cirrus ci run is still failing:
I found out the cause of this issue and currently com... | 26,745 |
https://github.com/scikit-learn/scikit-learn/issues/26745 | [
"Needs Triage"
] | ⚠️ CI failed on macos_arm64_wheel ⚠️
**CI is still failing on [macos_arm64_wheel](https://cirrus-ci.com/build/6005263916859392)** (Jul 12, 2023)
COMMENT:
I opened https://github.com/scikit-learn/scikit-learn/pull/26849 resolved the CirrusCI issue. As for this specific issue, the ARM wheel builds are are passing. | 26,745 |
https://github.com/scikit-learn/scikit-learn/issues/26742 | [
"Bug",
"Regression"
] | KDtree.valid_metrics is no longer an attribute without warning
### Describe the bug
Prior 1.3.0, `KDtree.valid_metrics` was an attribute returning a list. This was also mentioned in the docs as showed in
https://github.com/scikit-learn/scikit-learn/issues/25364#issuecomment-1379799279. In 1.3.0, however, #25482 add... | 26,742 |
https://github.com/scikit-learn/scikit-learn/issues/26742 | [
"Bug",
"Regression"
] | KDtree.valid_metrics is no longer an attribute without warning
### Describe the bug
Prior 1.3.0, `KDtree.valid_metrics` was an attribute returning a list. This was also mentioned in the docs as showed in
https://github.com/scikit-learn/scikit-learn/issues/25364#issuecomment-1379799279. In 1.3.0, however, #25482 add... | 26,742 |
https://github.com/scikit-learn/scikit-learn/issues/26739 | [
"Documentation"
] | `set_output` API no longer changing the name of the output columns
### Describe the bug
In scikit-learn versions prior to 1.3.0 I was able to change the name of the output data using the set_output API, in version 1.3.0 the output data names are no longer changed. Is this a bug? Or was I using this functionality in... | 26,739 |
https://github.com/scikit-learn/scikit-learn/issues/26739 | [
"Documentation"
] | `set_output` API no longer changing the name of the output columns
### Describe the bug
In scikit-learn versions prior to 1.3.0 I was able to change the name of the output data using the set_output API, in version 1.3.0 the output data names are no longer changed. Is this a bug? Or was I using this functionality in... | 26,739 |
https://github.com/scikit-learn/scikit-learn/issues/26739 | [
"Documentation"
] | `set_output` API no longer changing the name of the output columns
### Describe the bug
In scikit-learn versions prior to 1.3.0 I was able to change the name of the output data using the set_output API, in version 1.3.0 the output data names are no longer changed. Is this a bug? Or was I using this functionality in... | 26,739 |
https://github.com/scikit-learn/scikit-learn/issues/26732 | [
"help wanted"
] | In `HDBSCAN`, `algorithm="kdtree"` is not consistent with other estimator
Other estimators (k-NN, DBSCAN, etc.) use `algorihtm="kd_tree"`. In `HDBSCAN`, the name is called `"kdtree"` which is not consistent. This could be part of the next bug-fix release.
COMMENT:
I would like to open PR for this | 26,732 |
https://github.com/scikit-learn/scikit-learn/issues/26732 | [
"help wanted"
] | In `HDBSCAN`, `algorithm="kdtree"` is not consistent with other estimator
Other estimators (k-NN, DBSCAN, etc.) use `algorihtm="kd_tree"`. In `HDBSCAN`, the name is called `"kdtree"` which is not consistent. This could be part of the next bug-fix release.
COMMENT:
This fix is also applicable to `ball_tree `algorithm
... | 26,732 |
https://github.com/scikit-learn/scikit-learn/issues/26732 | [
"help wanted"
] | In `HDBSCAN`, `algorithm="kdtree"` is not consistent with other estimator
Other estimators (k-NN, DBSCAN, etc.) use `algorihtm="kd_tree"`. In `HDBSCAN`, the name is called `"kdtree"` which is not consistent. This could be part of the next bug-fix release.
COMMENT:
Indeed this is the same issue for BallTree as well. L... | 26,732 |
https://github.com/scikit-learn/scikit-learn/issues/26726 | [
"Bug",
"Documentation"
] | dbscan uses large amount of ram
### Describe the bug
I'm using sklearn version 1.1.2 . In the following code dbscan uses about 15GB of memory. The size of `xy` is 2.88MB. This can't be right.
```python
from sklearn.cluster import dbscan
import numpy as np
nclust = 12
cluster_size = 15000
xy = []
for i in ... | 26,726 |
https://github.com/scikit-learn/scikit-learn/issues/26726 | [
"Bug",
"Documentation"
] | dbscan uses large amount of ram
### Describe the bug
I'm using sklearn version 1.1.2 . In the following code dbscan uses about 15GB of memory. The size of `xy` is 2.88MB. This can't be right.
```python
from sklearn.cluster import dbscan
import numpy as np
nclust = 12
cluster_size = 15000
xy = []
for i in ... | 26,726 |
https://github.com/scikit-learn/scikit-learn/issues/26726 | [
"Bug",
"Documentation"
] | dbscan uses large amount of ram
### Describe the bug
I'm using sklearn version 1.1.2 . In the following code dbscan uses about 15GB of memory. The size of `xy` is 2.88MB. This can't be right.
```python
from sklearn.cluster import dbscan
import numpy as np
nclust = 12
cluster_size = 15000
xy = []
for i in ... | 26,726 |
https://github.com/scikit-learn/scikit-learn/issues/26726 | [
"Bug",
"Documentation"
] | dbscan uses large amount of ram
### Describe the bug
I'm using sklearn version 1.1.2 . In the following code dbscan uses about 15GB of memory. The size of `xy` is 2.88MB. This can't be right.
```python
from sklearn.cluster import dbscan
import numpy as np
nclust = 12
cluster_size = 15000
xy = []
for i in ... | 26,726 |
https://github.com/scikit-learn/scikit-learn/issues/26726 | [
"Bug",
"Documentation"
] | dbscan uses large amount of ram
### Describe the bug
I'm using sklearn version 1.1.2 . In the following code dbscan uses about 15GB of memory. The size of `xy` is 2.88MB. This can't be right.
```python
from sklearn.cluster import dbscan
import numpy as np
nclust = 12
cluster_size = 15000
xy = []
for i in ... | 26,726 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26724 | [
"RFC",
"Array API"
] | Array API support with lazy evaluation
At the moment, our Array API integration can implicitly assume eager evaluation semantics.
Furthermore we did not test our code to see how it would behave with candidate Array API implementations with lazy evaluation semantics (e.g. dask, jax, ...).
The purpose of this issu... | 26,724 |
https://github.com/scikit-learn/scikit-learn/issues/26723 | [
"Numerical Stability"
] | Inconsistent results from metrics.pairwise.euclidean_distances
### Describe the bug
Calculations on same set of floating point values return different results depending on object passed in.
### Steps/Code to Reproduce
```python
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise impor... | 26,723 |
https://github.com/scikit-learn/scikit-learn/issues/26723 | [
"Numerical Stability"
] | Inconsistent results from metrics.pairwise.euclidean_distances
### Describe the bug
Calculations on same set of floating point values return different results depending on object passed in.
### Steps/Code to Reproduce
```python
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise impor... | 26,723 |
https://github.com/scikit-learn/scikit-learn/issues/26723 | [
"Numerical Stability"
] | Inconsistent results from metrics.pairwise.euclidean_distances
### Describe the bug
Calculations on same set of floating point values return different results depending on object passed in.
### Steps/Code to Reproduce
```python
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise impor... | 26,723 |
https://github.com/scikit-learn/scikit-learn/issues/26723 | [
"Numerical Stability"
] | Inconsistent results from metrics.pairwise.euclidean_distances
### Describe the bug
Calculations on same set of floating point values return different results depending on object passed in.
### Steps/Code to Reproduce
```python
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise impor... | 26,723 |
https://github.com/scikit-learn/scikit-learn/issues/26723 | [
"Numerical Stability"
] | Inconsistent results from metrics.pairwise.euclidean_distances
### Describe the bug
Calculations on same set of floating point values return different results depending on object passed in.
### Steps/Code to Reproduce
```python
from sklearn.metrics import pairwise_distances
from sklearn.metrics.pairwise impor... | 26,723 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26719 | [
"Bug"
] | StandardScaler `mean_` is not None when `with_mean=False`
### Describe the bug
In the documentation, it is stated that
> **mean_**
ndarray of shape (n_features,) or None
The mean value for each feature in the training set. Equal to None when with_mean=False.
But the actual mean values are returned for `mean_`... | 26,719 |
https://github.com/scikit-learn/scikit-learn/issues/26716 | [
"New Feature"
] | Adding `estimators_samples_` property to ensemble of tree methods such as RandomForest and ExtraTrees
### Describe the workflow you want to enable
In `BaggingClassifier/Regressor`, which is basically an ensemble of trees, it is possible to generate the sampled indices on the fly for the forest using `estimators_sampl... | 26,716 |
https://github.com/scikit-learn/scikit-learn/issues/26716 | [
"New Feature"
] | Adding `estimators_samples_` property to ensemble of tree methods such as RandomForest and ExtraTrees
### Describe the workflow you want to enable
In `BaggingClassifier/Regressor`, which is basically an ensemble of trees, it is possible to generate the sampled indices on the fly for the forest using `estimators_sampl... | 26,716 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26711 | [
"Bug",
"Documentation",
"good first issue",
"help wanted"
] | AttributeError: This 'LabelEncoder' has no attribute 'set_output'
### Describe the bug
I tried to call **'set_output'** from LabelEncoder object and got the AttributeError.
[The document](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) says sklearn.preprocessing.LabelEnco... | 26,711 |
https://github.com/scikit-learn/scikit-learn/issues/26709 | [
"Documentation",
"Build / CI"
] | MAINT: Sphinx gallery bug after Sphinx min dependency increased to 6.0.0
Sphinx gallery error when resolving links:
```
TypeError: list indices must be integers or slices, not str
```
See CI: https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/48046/workflows/c2bbef06-cb62-416d-98c5-29b211a01b93/jo... | 26,709 |
https://github.com/scikit-learn/scikit-learn/issues/26706 | [
"New Feature",
"Needs Triage"
] | Proposal: Automated Outlier Handling in scikit-learn's Preprocessing Module
### Describe the workflow you want to enable
## How it will work on user's end
- User will just have to import the necessary module, Let's say that this new module will be named FixOutliers
- User will then mention parameters while making a... | 26,706 |
https://github.com/scikit-learn/scikit-learn/issues/26706 | [
"New Feature",
"Needs Triage"
] | Proposal: Automated Outlier Handling in scikit-learn's Preprocessing Module
### Describe the workflow you want to enable
## How it will work on user's end
- User will just have to import the necessary module, Let's say that this new module will be named FixOutliers
- User will then mention parameters while making a... | 26,706 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
The errors are legit: some segfault in Windows and MacOS when running the test from `extmath.py` | 26,698 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
The segfault seems to have been caused by the merge of https://github.com/scipy/scipy/pull/18358 (cc @ilayn) (EDIT this was included in scipy 1.11.0... | 26,698 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
For reference, here are the details of one of the runtime environments where it fails:
<details>
```
System:
python: 3.11.4 (v3.11.4... | 26,698 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
Actually I am confused, I thought it was the `scipy-dev` build but it's actually our own dev build against `scipy: 1.11.0` <del>so it's probably not... | 26,698 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
The cirusci confirms that this is an `x86_64` specific problem, we did not get the failure on arm64 / macos:
- https://cirrus-ci.com/build/504536... | 26,698 |
https://github.com/scikit-learn/scikit-learn/issues/26698 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5397015550)** (Jun 28, 2023)
COMMENT:
I will open an issue upstream on scipy's issue tracker. | 26,698 |
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