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/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/26999 | [
"Bug",
"Needs Investigation"
] | `ValueError: Input contains NaN.` in `sklearn.manifold.smacof`
### Describe the bug
I accidentally stumbled onto a `ValueError` when executing `smacof`. I hacked into `_mds.py` to save both the offending `dissimilarities` as well as the randomly generated `X`, then cut them down to minimal shape that still exhibits... | 26,999 |
https://github.com/scikit-learn/scikit-learn/issues/26999 | [
"Bug",
"Needs Investigation"
] | `ValueError: Input contains NaN.` in `sklearn.manifold.smacof`
### Describe the bug
I accidentally stumbled onto a `ValueError` when executing `smacof`. I hacked into `_mds.py` to save both the offending `dissimilarities` as well as the randomly generated `X`, then cut them down to minimal shape that still exhibits... | 26,999 |
https://github.com/scikit-learn/scikit-learn/issues/26999 | [
"Bug",
"Needs Investigation"
] | `ValueError: Input contains NaN.` in `sklearn.manifold.smacof`
### Describe the bug
I accidentally stumbled onto a `ValueError` when executing `smacof`. I hacked into `_mds.py` to save both the offending `dissimilarities` as well as the randomly generated `X`, then cut them down to minimal shape that still exhibits... | 26,999 |
https://github.com/scikit-learn/scikit-learn/issues/26999 | [
"Bug",
"Needs Investigation"
] | `ValueError: Input contains NaN.` in `sklearn.manifold.smacof`
### Describe the bug
I accidentally stumbled onto a `ValueError` when executing `smacof`. I hacked into `_mds.py` to save both the offending `dissimilarities` as well as the randomly generated `X`, then cut them down to minimal shape that still exhibits... | 26,999 |
https://github.com/scikit-learn/scikit-learn/issues/26997 | [
"Needs Reproducible Code"
] | LassoCV fails when I pass weights.
### Describe the bug
LassoCV throws the following error when I pass weights in .fit
ValueError: Input contains NaN.
The X, y as well as the weights do not contain any NaN values.
### Steps/Code to Reproduce
```
estimator_params = {'cv': 25, 'tol': 0.0001, 'max_iter': 500, '... | 26,997 |
https://github.com/scikit-learn/scikit-learn/issues/26997 | [
"Needs Reproducible Code"
] | LassoCV fails when I pass weights.
### Describe the bug
LassoCV throws the following error when I pass weights in .fit
ValueError: Input contains NaN.
The X, y as well as the weights do not contain any NaN values.
### Steps/Code to Reproduce
```
estimator_params = {'cv': 25, 'tol': 0.0001, 'max_iter': 500, '... | 26,997 |
https://github.com/scikit-learn/scikit-learn/issues/26997 | [
"Needs Reproducible Code"
] | LassoCV fails when I pass weights.
### Describe the bug
LassoCV throws the following error when I pass weights in .fit
ValueError: Input contains NaN.
The X, y as well as the weights do not contain any NaN values.
### Steps/Code to Reproduce
```
estimator_params = {'cv': 25, 'tol': 0.0001, 'max_iter': 500, '... | 26,997 |
https://github.com/scikit-learn/scikit-learn/issues/26997 | [
"Needs Reproducible Code"
] | LassoCV fails when I pass weights.
### Describe the bug
LassoCV throws the following error when I pass weights in .fit
ValueError: Input contains NaN.
The X, y as well as the weights do not contain any NaN values.
### Steps/Code to Reproduce
```
estimator_params = {'cv': 25, 'tol': 0.0001, 'max_iter': 500, '... | 26,997 |
https://github.com/scikit-learn/scikit-learn/issues/26997 | [
"Needs Reproducible Code"
] | LassoCV fails when I pass weights.
### Describe the bug
LassoCV throws the following error when I pass weights in .fit
ValueError: Input contains NaN.
The X, y as well as the weights do not contain any NaN values.
### Steps/Code to Reproduce
```
estimator_params = {'cv': 25, 'tol': 0.0001, 'max_iter': 500, '... | 26,997 |
https://github.com/scikit-learn/scikit-learn/issues/26992 | [
"Bug"
] | AssertionError when enabling autolog for sklearn with mlflow
### Describe the bug
I came here from this issue: https://github.com/mlflow/mlflow/issues/9173
```python
MLflow autologging encountered a warning: "/home/nusret/miniconda3/envs/mlflow_training/lib/python3.11/site-packages/_distutils_hack/__init__.py:... | 26,992 |
https://github.com/scikit-learn/scikit-learn/issues/26992 | [
"Bug"
] | AssertionError when enabling autolog for sklearn with mlflow
### Describe the bug
I came here from this issue: https://github.com/mlflow/mlflow/issues/9173
```python
MLflow autologging encountered a warning: "/home/nusret/miniconda3/envs/mlflow_training/lib/python3.11/site-packages/_distutils_hack/__init__.py:... | 26,992 |
https://github.com/scikit-learn/scikit-learn/issues/26992 | [
"Bug"
] | AssertionError when enabling autolog for sklearn with mlflow
### Describe the bug
I came here from this issue: https://github.com/mlflow/mlflow/issues/9173
```python
MLflow autologging encountered a warning: "/home/nusret/miniconda3/envs/mlflow_training/lib/python3.11/site-packages/_distutils_hack/__init__.py:... | 26,992 |
https://github.com/scikit-learn/scikit-learn/issues/26992 | [
"Bug"
] | AssertionError when enabling autolog for sklearn with mlflow
### Describe the bug
I came here from this issue: https://github.com/mlflow/mlflow/issues/9173
```python
MLflow autologging encountered a warning: "/home/nusret/miniconda3/envs/mlflow_training/lib/python3.11/site-packages/_distutils_hack/__init__.py:... | 26,992 |
https://github.com/scikit-learn/scikit-learn/issues/26982 | [
"Moderate",
"API",
"help wanted",
"module:metrics"
] | API Deprecate `paired_distances` and `paired_*_distances`
## Background
We have several public functions `paired_*_distances` which exist primarily as specialized implementations for the public `paired_distances` function. This function is thus either a wrapper around the specialized `paired_*_distances` or a simpl... | 26,982 |
https://github.com/scikit-learn/scikit-learn/issues/26982 | [
"Moderate",
"API",
"help wanted",
"module:metrics"
] | API Deprecate `paired_distances` and `paired_*_distances`
## Background
We have several public functions `paired_*_distances` which exist primarily as specialized implementations for the public `paired_distances` function. This function is thus either a wrapper around the specialized `paired_*_distances` or a simpl... | 26,982 |
https://github.com/scikit-learn/scikit-learn/issues/26982 | [
"Moderate",
"API",
"help wanted",
"module:metrics"
] | API Deprecate `paired_distances` and `paired_*_distances`
## Background
We have several public functions `paired_*_distances` which exist primarily as specialized implementations for the public `paired_distances` function. This function is thus either a wrapper around the specialized `paired_*_distances` or a simpl... | 26,982 |
https://github.com/scikit-learn/scikit-learn/issues/26982 | [
"Moderate",
"API",
"help wanted",
"module:metrics"
] | API Deprecate `paired_distances` and `paired_*_distances`
## Background
We have several public functions `paired_*_distances` which exist primarily as specialized implementations for the public `paired_distances` function. This function is thus either a wrapper around the specialized `paired_*_distances` or a simpl... | 26,982 |
https://github.com/scikit-learn/scikit-learn/issues/26982 | [
"Moderate",
"API",
"help wanted",
"module:metrics"
] | API Deprecate `paired_distances` and `paired_*_distances`
## Background
We have several public functions `paired_*_distances` which exist primarily as specialized implementations for the public `paired_distances` function. This function is thus either a wrapper around the specialized `paired_*_distances` or a simpl... | 26,982 |
https://github.com/scikit-learn/scikit-learn/issues/26965 | [
"Bug",
"help wanted"
] | Wrong behaviour when calculating `f1_score` with `zero_division=1`
### Describe the bug
It seems that in the new version 1.3 `f1_score` with `zero_division=1` incorrectly calculates the results. It treats the prediction with 0 true positives as a division by zero and assigned 1. This was not the case in 1.2.X versi... | 26,965 |
https://github.com/scikit-learn/scikit-learn/issues/26965 | [
"Bug",
"help wanted"
] | Wrong behaviour when calculating `f1_score` with `zero_division=1`
### Describe the bug
It seems that in the new version 1.3 `f1_score` with `zero_division=1` incorrectly calculates the results. It treats the prediction with 0 true positives as a division by zero and assigned 1. This was not the case in 1.2.X versi... | 26,965 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26963 | [
"API",
"Needs Decision",
"RFC"
] | Path to adopt 32-bit implementations for `{KD, Ball}Tree`
## Motivation
Having and using 32-bit implementations of `{KD, Ball}Tree` allows for better preservation of dtype, lower memory footprint, and more consistent Cython code.
## Strategy
Work has already been started in #25914 to add the code for the new 32-b... | 26,963 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26961 | [
"Bug",
"help wanted"
] | Agglomerative clustering training error for seuclidean/mahalanobis affinity and single linkage
### Describe the bug
When trying Agglomerative clustering model training with the affinity as 'seuclidean' or 'mahalanobis' and the linkage as 'single' the training fails. The same affinity values along with other linkage s... | 26,961 |
https://github.com/scikit-learn/scikit-learn/issues/26960 | [
"Easy",
"Moderate",
"help wanted",
"module:ensemble",
"module:test-suite"
] | Add test weighted huber in (old) gradient boosting
The case of Huber loss function with sample weights is not tested, see https://github.com/scikit-learn/scikit-learn/pull/26278#discussion_r1279891117, i.e.
```python
GradientBoostingRegressor(loss="huber").fit(X, y, samples_weights=w)
```
COMMENT:
Maybe tested?
h... | 26,960 |
https://github.com/scikit-learn/scikit-learn/issues/26960 | [
"Easy",
"Moderate",
"help wanted",
"module:ensemble",
"module:test-suite"
] | Add test weighted huber in (old) gradient boosting
The case of Huber loss function with sample weights is not tested, see https://github.com/scikit-learn/scikit-learn/pull/26278#discussion_r1279891117, i.e.
```python
GradientBoostingRegressor(loss="huber").fit(X, y, samples_weights=w)
```
COMMENT:
Indeed, false al... | 26,960 |
https://github.com/scikit-learn/scikit-learn/issues/26955 | [
"API",
"Needs Decision",
"module:metrics"
] | Make cross_val_score accept multi-metric scoring
I'm not sure why we deliberately exclude multi-metric scoring in `cross_val_score`. `cross_validate` (which `cross_val_score` calls, supports it, and we could simply return the multi-metric scores calculated by it.
This is our `cross_val_score`:
https://github.com... | 26,955 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26948 | [
"Documentation"
] | The copy button on install copies an extensive comman including env activation
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html
Above link will lead you to the sklearn downlanding for link .
when you link copy link button it will copy
`python3 -m venv sklearn-venv... | 26,948 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26945 | [
"Moderate",
"API",
"help wanted"
] | [PLSRegression] The standard scikit interface should have the argument in lowercase "y" not uppercase "Y"
### Describe the bug
The standard scikit interface should have the argument in lowercase "y" not uppercase "Y". Would you please modify it?
[[https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8d... | 26,945 |
https://github.com/scikit-learn/scikit-learn/issues/26943 | [
"Bug",
"Needs Triage"
] | Kmeans : Different cluster result with same random_state beetwen two version 0.22.2 & 1.2.2
### Describe the bug
Hello everyone,
I'm currently working on a clustering problem. To ensure result reproducibility, we initially set the random_state parameter in KMeans() to 0. However, after updating scikit-learn from **v... | 26,943 |
https://github.com/scikit-learn/scikit-learn/issues/26941 | [
"Documentation"
] | Make sure `set_output` is not rendered by sphinx when disabled
xref: https://github.com/scikit-learn/scikit-learn/pull/26940#issue-1827735779
When `auto_wrap_output_keys=None`, there shouldn't be any documented `set_output` method since it doesn't exist.
cc @thomasjpfan
COMMENT:
This issue was supposed to be so... | 26,941 |
https://github.com/scikit-learn/scikit-learn/issues/26941 | [
"Documentation"
] | Make sure `set_output` is not rendered by sphinx when disabled
xref: https://github.com/scikit-learn/scikit-learn/pull/26940#issue-1827735779
When `auto_wrap_output_keys=None`, there shouldn't be any documented `set_output` method since it doesn't exist.
cc @thomasjpfan
COMMENT:
I was not aware of #26941 when r... | 26,941 |
https://github.com/scikit-learn/scikit-learn/issues/26941 | [
"Documentation"
] | Make sure `set_output` is not rendered by sphinx when disabled
xref: https://github.com/scikit-learn/scikit-learn/pull/26940#issue-1827735779
When `auto_wrap_output_keys=None`, there shouldn't be any documented `set_output` method since it doesn't exist.
cc @thomasjpfan
COMMENT:
The mechanism used to decide abo... | 26,941 |
https://github.com/scikit-learn/scikit-learn/issues/26936 | [
"New Feature",
"Needs Triage"
] | Create a way to transform the target variable within a custom sklearn transformer.
### Describe the workflow you want to enable
It is not uncommon that the target variable in the raw dataset is not in the ideal format to be fitted in the estimator:
- In multiclass classification, we may need to apply a custom en... | 26,936 |
https://github.com/scikit-learn/scikit-learn/issues/26933 | [
"Documentation",
"Needs Triage"
] | Confusion in K-means Initialization of Gaussian Mixture Model
### Describe the issue linked to the documentation
In 'scikit-learn/sklearn/mixture /_base.py' line 115, when you refers to initialize the model parameters by K-means algorithm (note that not K-means++), you use the function KMeans from sklearn.cluster wit... | 26,933 |
https://github.com/scikit-learn/scikit-learn/issues/26930 | [
"Bug",
"Needs Triage"
] | Importing `sklearn` forks many processes
### Describe the bug
I was trying to investigate why I had a lot of processes being created when running a code of mine. After a lot of investigation, I noticed that just by importing `sklearn` was enough to see a lot of processes in `htop`.
### Steps/Code to Reproduce
```py... | 26,930 |
https://github.com/scikit-learn/scikit-learn/issues/26930 | [
"Bug",
"Needs Triage"
] | Importing `sklearn` forks many processes
### Describe the bug
I was trying to investigate why I had a lot of processes being created when running a code of mine. After a lot of investigation, I noticed that just by importing `sklearn` was enough to see a lot of processes in `htop`.
### Steps/Code to Reproduce
```py... | 26,930 |
https://github.com/scikit-learn/scikit-learn/issues/26930 | [
"Bug",
"Needs Triage"
] | Importing `sklearn` forks many processes
### Describe the bug
I was trying to investigate why I had a lot of processes being created when running a code of mine. After a lot of investigation, I noticed that just by importing `sklearn` was enough to see a lot of processes in `htop`.
### Steps/Code to Reproduce
```py... | 26,930 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
https://github.com/scikit-learn/scikit-learn/issues/26927 | [
"Documentation",
"Sprint",
"good first issue",
"Meta-issue"
] | Add links to examples from the docstrings and user guides
We have a rich set of examples covering a very broad range of issues, but they're not necessarily easily discoverable via the section on the bottom of the API pages.
This meta-issue is to keep track of the examples for which we've already included links in t... | 26,927 |
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