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/28174 | [
"Bug"
] | sklearn 1.4 breaks using astropy tables with KFold.split
### Describe the bug
Since sklearn 1.4, using e.g. `train_test_split` on `astropy.table.Table` objects raises an exception:
### Steps/Code to Reproduce
```python
from astropy.table import Table
from sklearn.model_selection import KFold
from astropy... | 28,174 |
https://github.com/scikit-learn/scikit-learn/issues/28174 | [
"Bug"
] | sklearn 1.4 breaks using astropy tables with KFold.split
### Describe the bug
Since sklearn 1.4, using e.g. `train_test_split` on `astropy.table.Table` objects raises an exception:
### Steps/Code to Reproduce
```python
from astropy.table import Table
from sklearn.model_selection import KFold
from astropy... | 28,174 |
https://github.com/scikit-learn/scikit-learn/issues/28174 | [
"Bug"
] | sklearn 1.4 breaks using astropy tables with KFold.split
### Describe the bug
Since sklearn 1.4, using e.g. `train_test_split` on `astropy.table.Table` objects raises an exception:
### Steps/Code to Reproduce
```python
from astropy.table import Table
from sklearn.model_selection import KFold
from astropy... | 28,174 |
https://github.com/scikit-learn/scikit-learn/issues/28174 | [
"Bug"
] | sklearn 1.4 breaks using astropy tables with KFold.split
### Describe the bug
Since sklearn 1.4, using e.g. `train_test_split` on `astropy.table.Table` objects raises an exception:
### Steps/Code to Reproduce
```python
from astropy.table import Table
from sklearn.model_selection import KFold
from astropy... | 28,174 |
https://github.com/scikit-learn/scikit-learn/issues/28169 | [
"Hard",
"RFC",
"Meta-issue"
] | RFC Expose a plublic method to compute the objective function
I think that it would be valuable that all estimators that optimize some objective function expose a public method to compute it.
My main motivation is for the callbacks, for early stopping or monitoring, but I'm sure it would be useful in other contexts.
... | 28,169 |
https://github.com/scikit-learn/scikit-learn/issues/28169 | [
"Hard",
"RFC",
"Meta-issue"
] | RFC Expose a plublic method to compute the objective function
I think that it would be valuable that all estimators that optimize some objective function expose a public method to compute it.
My main motivation is for the callbacks, for early stopping or monitoring, but I'm sure it would be useful in other contexts.
... | 28,169 |
https://github.com/scikit-learn/scikit-learn/issues/28169 | [
"Hard",
"RFC",
"Meta-issue"
] | RFC Expose a plublic method to compute the objective function
I think that it would be valuable that all estimators that optimize some objective function expose a public method to compute it.
My main motivation is for the callbacks, for early stopping or monitoring, but I'm sure it would be useful in other contexts.
... | 28,169 |
https://github.com/scikit-learn/scikit-learn/issues/28169 | [
"Hard",
"RFC",
"Meta-issue"
] | RFC Expose a plublic method to compute the objective function
I think that it would be valuable that all estimators that optimize some objective function expose a public method to compute it.
My main motivation is for the callbacks, for early stopping or monitoring, but I'm sure it would be useful in other contexts.
... | 28,169 |
https://github.com/scikit-learn/scikit-learn/issues/28169 | [
"Hard",
"RFC",
"Meta-issue"
] | RFC Expose a plublic method to compute the objective function
I think that it would be valuable that all estimators that optimize some objective function expose a public method to compute it.
My main motivation is for the callbacks, for early stopping or monitoring, but I'm sure it would be useful in other contexts.
... | 28,169 |
https://github.com/scikit-learn/scikit-learn/issues/28162 | [
"Bug",
"Needs Triage"
] | Multiple GMMs with variable training samples lead to memory leak?
### Describe the bug
When i use sklearn GaussianMixture multiple times, while varying the the number of training pixels, it creates a memory leak.
### Steps/Code to Reproduce
```python
import os, psutil
from sklearn import mixture
import num... | 28,162 |
https://github.com/scikit-learn/scikit-learn/issues/28162 | [
"Bug",
"Needs Triage"
] | Multiple GMMs with variable training samples lead to memory leak?
### Describe the bug
When i use sklearn GaussianMixture multiple times, while varying the the number of training pixels, it creates a memory leak.
### Steps/Code to Reproduce
```python
import os, psutil
from sklearn import mixture
import num... | 28,162 |
https://github.com/scikit-learn/scikit-learn/issues/28162 | [
"Bug",
"Needs Triage"
] | Multiple GMMs with variable training samples lead to memory leak?
### Describe the bug
When i use sklearn GaussianMixture multiple times, while varying the the number of training pixels, it creates a memory leak.
### Steps/Code to Reproduce
```python
import os, psutil
from sklearn import mixture
import num... | 28,162 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28151 | [
"RFC",
"Meta-issue"
] | RFC: Towards reproducible builds for our PyPI release wheels
Given the popularity of our project, our release automation might be considered an interesting target to conduct supply chain attacks to make our binaries ship spyware or ransomware to some of our users.
One way to detect such attacks would be to:
- make s... | 28,151 |
https://github.com/scikit-learn/scikit-learn/issues/28147 | [
"Bug",
"Needs Triage"
] | AttributeError: 'BinomialDeviance' object has no attribute 'get_init_raw_predictions'
### Describe the bug
I save GradientBoostingClassifier model by pickle at sklearn==0.20 ,loaded model at sklearn=0.22 and use it happend after error.
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <mo... | 28,147 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28144 | [
"New Feature"
] | DOC Need Gini coefficient implementation
### Describe the workflow you want to enable
Hello there!
For many reasons for classical binary classifications in different areas of business the Gini Score is used.
The Gini score is calculated as follows: Gini=2×ROC AUC−1
The recent implementation of sklearn.metrics.roc... | 28,144 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28139 | [
"Bug",
"Needs Info"
] | LedoitWolf.fit() crashes Jupyter Notebook
### Describe the bug
Hi, when i used LedoitWolf.fit(), my Jupyter Notebook crashes immediately. I am using the toy example given in the source code of
LedoitWolf class
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.covariance import Ledoit... | 28,139 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28130 | [
"New Feature"
] | Expanded ColumnTransformer functionality -- transforming subsets of data
### Describe the workflow you want to enable (edited)
the ability to (inverse_)transform data corresponding to a subset of the ColumnTransformer's component transformations
### Describe your proposed solution
Data of a smaller size can b... | 28,130 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28108 | [
"Bug"
] | BUG Wrong error raised for OneVsRestClassifier with a sub-estimator that doesn't allow partial_fit
### Describe the bug
When using the `OneVsRestClassifier` with a sub-estimator, that doesn't have `partial_fit` implemented, a misleading error message is shown: `AttributeError: This 'OneVsRestClassifier' has no attrib... | 28,108 |
https://github.com/scikit-learn/scikit-learn/issues/28099 | [
"Bug"
] | BUG "array-like" in parameter validation treats sparse containers as valid inputs
### Describe the bug
In parameter validation there are many places where we use `["array-like", "sparse matrix"]` so I think at least the former should not be a superset of the latter, but it is the case now. Looking at the class `_Ar... | 28,099 |
https://github.com/scikit-learn/scikit-learn/issues/28099 | [
"Bug"
] | BUG "array-like" in parameter validation treats sparse containers as valid inputs
### Describe the bug
In parameter validation there are many places where we use `["array-like", "sparse matrix"]` so I think at least the former should not be a superset of the latter, but it is the case now. Looking at the class `_Ar... | 28,099 |
https://github.com/scikit-learn/scikit-learn/issues/28099 | [
"Bug"
] | BUG "array-like" in parameter validation treats sparse containers as valid inputs
### Describe the bug
In parameter validation there are many places where we use `["array-like", "sparse matrix"]` so I think at least the former should not be a superset of the latter, but it is the case now. Looking at the class `_Ar... | 28,099 |
https://github.com/scikit-learn/scikit-learn/issues/28099 | [
"Bug"
] | BUG "array-like" in parameter validation treats sparse containers as valid inputs
### Describe the bug
In parameter validation there are many places where we use `["array-like", "sparse matrix"]` so I think at least the former should not be a superset of the latter, but it is the case now. Looking at the class `_Ar... | 28,099 |
https://github.com/scikit-learn/scikit-learn/issues/28098 | [
"New Feature"
] | Adding (Mini-Batch) Spherical K-Means Clustering
### Describe the workflow you want to enable
We need to use the spherical k-means algorithm to cluster text embeddings on a hypersphere. Currently there seem to be no reliable implementations available. Since we have a lot of input-data, we would like to implement the ... | 28,098 |
https://github.com/scikit-learn/scikit-learn/issues/28098 | [
"New Feature"
] | Adding (Mini-Batch) Spherical K-Means Clustering
### Describe the workflow you want to enable
We need to use the spherical k-means algorithm to cluster text embeddings on a hypersphere. Currently there seem to be no reliable implementations available. Since we have a lot of input-data, we would like to implement the ... | 28,098 |
https://github.com/scikit-learn/scikit-learn/issues/28098 | [
"New Feature"
] | Adding (Mini-Batch) Spherical K-Means Clustering
### Describe the workflow you want to enable
We need to use the spherical k-means algorithm to cluster text embeddings on a hypersphere. Currently there seem to be no reliable implementations available. Since we have a lot of input-data, we would like to implement the ... | 28,098 |
https://github.com/scikit-learn/scikit-learn/issues/28093 | [
"New Feature"
] | Add verbose option to sklearn.inspection.permutation_importance()
### Describe the workflow you want to enable
Add the verbose parameter to sklearn.inspection.permutation_importance.
This will improve the user experience by allowing them to evaluate how long the process will take, which is especially useful when wor... | 28,093 |
https://github.com/scikit-learn/scikit-learn/issues/28093 | [
"New Feature"
] | Add verbose option to sklearn.inspection.permutation_importance()
### Describe the workflow you want to enable
Add the verbose parameter to sklearn.inspection.permutation_importance.
This will improve the user experience by allowing them to evaluate how long the process will take, which is especially useful when wor... | 28,093 |
https://github.com/scikit-learn/scikit-learn/issues/28087 | [
"New Feature",
"Needs Triage"
] | [FEATURE] Sequential transforms on same columns while using `ColumnTransformer`
### Describe the workflow you want to enable
while performing more than one transforms on same column, it seems to create copies of it and perform different transform seperately. make a Sequential flow of transforms as an option.
... | 28,087 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28084 | [
"Documentation"
] | DOC Update website to `pydata-sphinx-theme`
This issue is a continuation of [#26809](https://github.com/scikit-learn/scikit-learn/pull/26809) and aims to migrate the scikit-learn website towards [`pydata-sphinx-theme`](https://pydata-sphinx-theme.readthedocs.io/en/stable/). As this is an ambitious goal, this issue is ... | 28,084 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28083 | [
"New Feature"
] | Reduce verbosity of error "Input X contains NaN" of PLSRegression
### Describe the workflow you want to enable
Currently if PLSRegression (and other algorithms, judging by google) gets any NaNs as input, it raises this long multiline exception:
```
ValueError: Input X contains NaN.
PLSRegression does not accept m... | 28,083 |
https://github.com/scikit-learn/scikit-learn/issues/28078 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI failed on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=62150&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jan 08, 2024)
- test_minibatch_sensible_reassign[34]
COMMENT:
## CI is no long... | 28,078 |
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