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/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22572 | [
"good first issue",
"module:test-suite",
"Meta-issue"
] | pytest warnings due to deprecation of pytest.warns(None)
Pytest issues warnings about using `pytest.warns(None)` context manager, where the `None` part is now being deprecated.
For example,
```>>> pytest ./sklearn/tests/test_naive_bayes.py ```
results in `79 passed, 4 warnings`. After commenting out `--disable-p... | 22,572 |
https://github.com/scikit-learn/scikit-learn/issues/22563 | [
"Documentation"
] | Visualizations examples in documentation don't work
### Describe the issue linked to the documentation
The examples at https://scikit-learn.org/stable/visualizations.html don't work as shown. Both produce error messages and no graphics.
### Suggest a potential alternative/fix
Modify documentation examples so they ... | 22,563 |
https://github.com/scikit-learn/scikit-learn/issues/22563 | [
"Documentation"
] | Visualizations examples in documentation don't work
### Describe the issue linked to the documentation
The examples at https://scikit-learn.org/stable/visualizations.html don't work as shown. Both produce error messages and no graphics.
### Suggest a potential alternative/fix
Modify documentation examples so they ... | 22,563 |
https://github.com/scikit-learn/scikit-learn/issues/22563 | [
"Documentation"
] | Visualizations examples in documentation don't work
### Describe the issue linked to the documentation
The examples at https://scikit-learn.org/stable/visualizations.html don't work as shown. Both produce error messages and no graphics.
### Suggest a potential alternative/fix
Modify documentation examples so they ... | 22,563 |
https://github.com/scikit-learn/scikit-learn/issues/22563 | [
"Documentation"
] | Visualizations examples in documentation don't work
### Describe the issue linked to the documentation
The examples at https://scikit-learn.org/stable/visualizations.html don't work as shown. Both produce error messages and no graphics.
### Suggest a potential alternative/fix
Modify documentation examples so they ... | 22,563 |
https://github.com/scikit-learn/scikit-learn/issues/22560 | [
"Bug",
"module:linear_model",
"Needs Triage"
] | [RANSACRegressor] Strange behaviour with rectangular regions
### Describe the bug
I'm using sklearn in order to find a line that best fits a rectangular region using the `RANSACRegressor`. In general RANSAC works pretty good but it seems to have some problem with vertical rectangular regions.
### Steps/Code to R... | 22,560 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22556 | [
"New Feature",
"API",
"Needs Decision",
"module:compose"
] | ColumnTransformer: integer column index in dataframes unexpected behaviour and error (column selectors vs _get_column_indices)
### Describe the bug
Unexpected behaviour when using integer column index in a DataFrame, other than natural ordering [0, 1, ...].
```
select_int = make_column_selector(dtype_include=np... | 22,556 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22551 | [
"Documentation",
"module:linear_model"
] | LinearRegression in User Guide seems to have $w_0=0$
From the documentation of https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares, one could understand that LinearRegression fits a model where the intercept $w_0$ is absent, that is, where $w_0=0$.
To prevent this misinterpretation, I s... | 22,551 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22541 | [
"Documentation"
] | Link to the latest Developer's guide rather than to stable.
### Describe the issue linked to the documentation
The scikit-learn website links to the stable version of the [Developer's guide](https://scikit-learn.org/stable/developers/index.html), while [CONTRIBUTING.md](https://github.com/scikit-learn/scikit-learn/bl... | 22,541 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22540 | [
"Bug",
"module:linear_model"
] | RidgeCV replacement for normalize=True gives different results
### Describe the bug
Running RidgeCV with `normalize=True` results in a Future Warning that provides the new preferred method for normalizing prior to fitting a regularized regression:
FutureWarning: 'normalize' was deprecated in version 1.0 and will b... | 22,540 |
https://github.com/scikit-learn/scikit-learn/issues/22538 | [
"New Feature",
"module:decomposition"
] | Implementation of XRAY solver for NMF per Kumar 2013
### Describe the workflow you want to enable
I was inspired by this talk [https://www.youtube.com/watch?v=kSfwY68gQ9I](url) to attempt an implementation of the XRAY solver for NMF per Kumar 2013: [https://arxiv.org/pdf/1210.1190.pdf](https://arxiv.org/pdf/1210.11... | 22,538 |
https://github.com/scikit-learn/scikit-learn/issues/22538 | [
"New Feature",
"module:decomposition"
] | Implementation of XRAY solver for NMF per Kumar 2013
### Describe the workflow you want to enable
I was inspired by this talk [https://www.youtube.com/watch?v=kSfwY68gQ9I](url) to attempt an implementation of the XRAY solver for NMF per Kumar 2013: [https://arxiv.org/pdf/1210.1190.pdf](https://arxiv.org/pdf/1210.11... | 22,538 |
https://github.com/scikit-learn/scikit-learn/issues/22538 | [
"New Feature",
"module:decomposition"
] | Implementation of XRAY solver for NMF per Kumar 2013
### Describe the workflow you want to enable
I was inspired by this talk [https://www.youtube.com/watch?v=kSfwY68gQ9I](url) to attempt an implementation of the XRAY solver for NMF per Kumar 2013: [https://arxiv.org/pdf/1210.1190.pdf](https://arxiv.org/pdf/1210.11... | 22,538 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22531 | [
"Performance",
"module:cluster"
] | DBSCAN running out of memory and getting killed
### Describe the bug
I am passing data normalized using MinMaxScaler to DBSCAN's fit_predict. My data is very small (12 MB, around 180,000 rows and 9 columns). However while running this, the memory usage quickly climbs up and the kernel gets killed (I presume by OOM ki... | 22,531 |
https://github.com/scikit-learn/scikit-learn/issues/22530 | [
"Build / CI"
] | Wheel builder broken for Python 3.7 and 3.8 on Windows (64 bit)
The [scheduled windows builds](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule) have been failing with the following error:
See for instance:
```
Digest: sha256:91ef3fcdba96f60e137e4e059d7eec3469d0... | 22,530 |
https://github.com/scikit-learn/scikit-learn/issues/22530 | [
"Build / CI"
] | Wheel builder broken for Python 3.7 and 3.8 on Windows (64 bit)
The [scheduled windows builds](https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml?query=event%3Aschedule) have been failing with the following error:
See for instance:
```
Digest: sha256:91ef3fcdba96f60e137e4e059d7eec3469d0... | 22,530 |
https://github.com/scikit-learn/scikit-learn/issues/22524 | [
"Bug",
"Needs Triage"
] | Pytest collection error
### Describe the bug
As of 6a16763c008446953ed9380e084ed70a285a9f7e attempting to run `pytest` on any file or directory returns a collection error (see below). I do not know if this has affected CI/CD but will check soon.
### Steps/Code to Reproduce
Run `pytest` .
This works when targeting... | 22,524 |
https://github.com/scikit-learn/scikit-learn/issues/22524 | [
"Bug",
"Needs Triage"
] | Pytest collection error
### Describe the bug
As of 6a16763c008446953ed9380e084ed70a285a9f7e attempting to run `pytest` on any file or directory returns a collection error (see below). I do not know if this has affected CI/CD but will check soon.
### Steps/Code to Reproduce
Run `pytest` .
This works when targeting... | 22,524 |
https://github.com/scikit-learn/scikit-learn/issues/22524 | [
"Bug",
"Needs Triage"
] | Pytest collection error
### Describe the bug
As of 6a16763c008446953ed9380e084ed70a285a9f7e attempting to run `pytest` on any file or directory returns a collection error (see below). I do not know if this has affected CI/CD but will check soon.
### Steps/Code to Reproduce
Run `pytest` .
This works when targeting... | 22,524 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22523 | [
"New Feature",
"module:model_selection"
] | Add rolling window to sklearn.model_selection.TimeSeriesSplit
### Describe the workflow you want to enable
I wanted to ask whether any plans exist to implement a rolling/sliding window method in the TimeSeriesSplit class:
![68747470733a2f2f692e6962622e636f2f4b576b665137712f6e6577706c6f742e706e67](https://user-im... | 22,523 |
https://github.com/scikit-learn/scikit-learn/issues/22522 | [
"Question"
] | apple silicon m1 can't importing sklearn package.
I have been finished install Tensorflow env step by step from "https://developer.apple.com/metal/tensorflow-plugin/"
Tf is working! but when i import sklearn package, have an error message like this:
```
ImportError: dlopen(/Users/mecilmeng/miniforge3/envs/tf/lib... | 22,522 |
https://github.com/scikit-learn/scikit-learn/issues/22522 | [
"Question"
] | apple silicon m1 can't importing sklearn package.
I have been finished install Tensorflow env step by step from "https://developer.apple.com/metal/tensorflow-plugin/"
Tf is working! but when i import sklearn package, have an error message like this:
```
ImportError: dlopen(/Users/mecilmeng/miniforge3/envs/tf/lib... | 22,522 |
https://github.com/scikit-learn/scikit-learn/issues/22522 | [
"Question"
] | apple silicon m1 can't importing sklearn package.
I have been finished install Tensorflow env step by step from "https://developer.apple.com/metal/tensorflow-plugin/"
Tf is working! but when i import sklearn package, have an error message like this:
```
ImportError: dlopen(/Users/mecilmeng/miniforge3/envs/tf/lib... | 22,522 |
https://github.com/scikit-learn/scikit-learn/issues/22522 | [
"Question"
] | apple silicon m1 can't importing sklearn package.
I have been finished install Tensorflow env step by step from "https://developer.apple.com/metal/tensorflow-plugin/"
Tf is working! but when i import sklearn package, have an error message like this:
```
ImportError: dlopen(/Users/mecilmeng/miniforge3/envs/tf/lib... | 22,522 |
https://github.com/scikit-learn/scikit-learn/issues/22519 | [
"Documentation",
"module:cluster"
] | Tolerane parameter definiton in KMeans
### Describe the issue linked to the documentation
KMeans documentation says:
> tol - Relative tolerance with regards to Frobenius norm of the difference in the cluster centers of two consecutive iterations to declare convergence.
But if we look into the code for stopping ... | 22,519 |
https://github.com/scikit-learn/scikit-learn/issues/22519 | [
"Documentation",
"module:cluster"
] | Tolerane parameter definiton in KMeans
### Describe the issue linked to the documentation
KMeans documentation says:
> tol - Relative tolerance with regards to Frobenius norm of the difference in the cluster centers of two consecutive iterations to declare convergence.
But if we look into the code for stopping ... | 22,519 |
https://github.com/scikit-learn/scikit-learn/issues/22519 | [
"Documentation",
"module:cluster"
] | Tolerane parameter definiton in KMeans
### Describe the issue linked to the documentation
KMeans documentation says:
> tol - Relative tolerance with regards to Frobenius norm of the difference in the cluster centers of two consecutive iterations to declare convergence.
But if we look into the code for stopping ... | 22,519 |
https://github.com/scikit-learn/scikit-learn/issues/22517 | [
"New Feature",
"module:impute"
] | Add new feature to use only a sample of training data in KNNImputer
### Describe the workflow you want to enable
I would like the team to add an argument(s) for using only part of the entire dataset to train the KNNImputer.
### Describe your proposed solution
This will require adding new argument(s) to the KNNImput... | 22,517 |
https://github.com/scikit-learn/scikit-learn/issues/22517 | [
"New Feature",
"module:impute"
] | Add new feature to use only a sample of training data in KNNImputer
### Describe the workflow you want to enable
I would like the team to add an argument(s) for using only part of the entire dataset to train the KNNImputer.
### Describe your proposed solution
This will require adding new argument(s) to the KNNImput... | 22,517 |
https://github.com/scikit-learn/scikit-learn/issues/22517 | [
"New Feature",
"module:impute"
] | Add new feature to use only a sample of training data in KNNImputer
### Describe the workflow you want to enable
I would like the team to add an argument(s) for using only part of the entire dataset to train the KNNImputer.
### Describe your proposed solution
This will require adding new argument(s) to the KNNImput... | 22,517 |
https://github.com/scikit-learn/scikit-learn/issues/22517 | [
"New Feature",
"module:impute"
] | Add new feature to use only a sample of training data in KNNImputer
### Describe the workflow you want to enable
I would like the team to add an argument(s) for using only part of the entire dataset to train the KNNImputer.
### Describe your proposed solution
This will require adding new argument(s) to the KNNImput... | 22,517 |
https://github.com/scikit-learn/scikit-learn/issues/22504 | [
"Bug",
"module:feature_extraction",
"Needs Investigation"
] | Second build failure for s390x and ppc64
### Describe the bug
Hi,
besides issue #22503 I've observed an _additional_ error in the test suite for the architectures s390x and ppc64.
### Steps/Code to Reproduce
```
pytest -m "not network" -v --color=no -k "not test_load_boston_alternative and not test_dump"
```
Yo... | 22,504 |
https://github.com/scikit-learn/scikit-learn/issues/22503 | [
"Bug",
"module:ensemble",
"Needs Investigation"
] | AdaBoostRegressor doctest failure for arm64, ppc64el, s390x, ppc64 and risc64
### Describe the bug
Hi,
I've just uploaded version 1.0.2 to Debian unstable. In Debian we have an autobuilder infrastructure where code is compiled for several architectures. The code builds fine and passes the test suite for amd64, i3... | 22,503 |
https://github.com/scikit-learn/scikit-learn/issues/22503 | [
"Bug",
"module:ensemble",
"Needs Investigation"
] | AdaBoostRegressor doctest failure for arm64, ppc64el, s390x, ppc64 and risc64
### Describe the bug
Hi,
I've just uploaded version 1.0.2 to Debian unstable. In Debian we have an autobuilder infrastructure where code is compiled for several architectures. The code builds fine and passes the test suite for amd64, i3... | 22,503 |
https://github.com/scikit-learn/scikit-learn/issues/22503 | [
"Bug",
"module:ensemble",
"Needs Investigation"
] | AdaBoostRegressor doctest failure for arm64, ppc64el, s390x, ppc64 and risc64
### Describe the bug
Hi,
I've just uploaded version 1.0.2 to Debian unstable. In Debian we have an autobuilder infrastructure where code is compiled for several architectures. The code builds fine and passes the test suite for amd64, i3... | 22,503 |
https://github.com/scikit-learn/scikit-learn/issues/22492 | [
"New Feature",
"Documentation",
"Moderate",
"module:metrics",
"Breaking Change",
"Needs Triage"
] | Document "neg_root_mean_squared_error" in the "scoring" parameter
### Describe the workflow you want to enable
I would like users to be able to do:
```
cross_val_score(estimator, X, y, scroring="neg_root_mean_squared_error")
```
This is currently possible by specifying "neg_mean_squared_error" and taking the squa... | 22,492 |
https://github.com/scikit-learn/scikit-learn/issues/22492 | [
"New Feature",
"Documentation",
"Moderate",
"module:metrics",
"Breaking Change",
"Needs Triage"
] | Document "neg_root_mean_squared_error" in the "scoring" parameter
### Describe the workflow you want to enable
I would like users to be able to do:
```
cross_val_score(estimator, X, y, scroring="neg_root_mean_squared_error")
```
This is currently possible by specifying "neg_mean_squared_error" and taking the squa... | 22,492 |
https://github.com/scikit-learn/scikit-learn/issues/22492 | [
"New Feature",
"Documentation",
"Moderate",
"module:metrics",
"Breaking Change",
"Needs Triage"
] | Document "neg_root_mean_squared_error" in the "scoring" parameter
### Describe the workflow you want to enable
I would like users to be able to do:
```
cross_val_score(estimator, X, y, scroring="neg_root_mean_squared_error")
```
This is currently possible by specifying "neg_mean_squared_error" and taking the squa... | 22,492 |
https://github.com/scikit-learn/scikit-learn/issues/22492 | [
"New Feature",
"Documentation",
"Moderate",
"module:metrics",
"Breaking Change",
"Needs Triage"
] | Document "neg_root_mean_squared_error" in the "scoring" parameter
### Describe the workflow you want to enable
I would like users to be able to do:
```
cross_val_score(estimator, X, y, scroring="neg_root_mean_squared_error")
```
This is currently possible by specifying "neg_mean_squared_error" and taking the squa... | 22,492 |
https://github.com/scikit-learn/scikit-learn/issues/22490 | [
"Bug",
"module:tree"
] | main branch has failing test case for tree module
### Describe the bug
The current main branch has a failed test case in the tree module
tests: `sklearn/tree/tests/test_tree.py`
### Steps/Code to Reproduce
```
python -m pytest sklearn/tree/tests/test_tree.py
```
### Expected Results
No failing test cases.
#... | 22,490 |
https://github.com/scikit-learn/scikit-learn/issues/22490 | [
"Bug",
"module:tree"
] | main branch has failing test case for tree module
### Describe the bug
The current main branch has a failed test case in the tree module
tests: `sklearn/tree/tests/test_tree.py`
### Steps/Code to Reproduce
```
python -m pytest sklearn/tree/tests/test_tree.py
```
### Expected Results
No failing test cases.
#... | 22,490 |
https://github.com/scikit-learn/scikit-learn/issues/22489 | [
"Bug"
] | Should not use `collections.abc.Sequence` to ducktype `ndarray`
We have a bug in all estimators that are using `Sequence` to duck-type array-like. Such `collections.abc.Sequence` does not work for `ndarray`.
```python
In [17]: import numpy as np
...: from sklearn.covariance import GraphicalLassoCV
...: t... | 22,489 |
https://github.com/scikit-learn/scikit-learn/issues/22488 | [
"Bug",
"module:compose"
] | OneHotEncoder creates non unique column names, when values None (NoneType) and "None" (str) are both present
### Describe the bug
OneHotEncoder creates non unique column names when values None (NoneType) and "None" (str) are both present in the same column.
Such policy creates downstream problems (e.g. ColumnTrans... | 22,488 |
https://github.com/scikit-learn/scikit-learn/issues/22488 | [
"Bug",
"module:compose"
] | OneHotEncoder creates non unique column names, when values None (NoneType) and "None" (str) are both present
### Describe the bug
OneHotEncoder creates non unique column names when values None (NoneType) and "None" (str) are both present in the same column.
Such policy creates downstream problems (e.g. ColumnTrans... | 22,488 |
https://github.com/scikit-learn/scikit-learn/issues/22488 | [
"Bug",
"module:compose"
] | OneHotEncoder creates non unique column names, when values None (NoneType) and "None" (str) are both present
### Describe the bug
OneHotEncoder creates non unique column names when values None (NoneType) and "None" (str) are both present in the same column.
Such policy creates downstream problems (e.g. ColumnTrans... | 22,488 |
https://github.com/scikit-learn/scikit-learn/issues/22488 | [
"Bug",
"module:compose"
] | OneHotEncoder creates non unique column names, when values None (NoneType) and "None" (str) are both present
### Describe the bug
OneHotEncoder creates non unique column names when values None (NoneType) and "None" (str) are both present in the same column.
Such policy creates downstream problems (e.g. ColumnTrans... | 22,488 |
https://github.com/scikit-learn/scikit-learn/issues/22488 | [
"Bug",
"module:compose"
] | OneHotEncoder creates non unique column names, when values None (NoneType) and "None" (str) are both present
### Describe the bug
OneHotEncoder creates non unique column names when values None (NoneType) and "None" (str) are both present in the same column.
Such policy creates downstream problems (e.g. ColumnTrans... | 22,488 |
https://github.com/scikit-learn/scikit-learn/issues/22482 | [
"Moderate",
"module:calibration"
] | Deprecate normalize parameter in `calibration_curve`
### Describe the workflow you want to enable
Similar to the behavior of `calibration_curve`, I would like to be able to set `CalibrationDisplay.from_predictions(normalize=True)`.
### Describe your proposed solution
Add a keyword argument `normalize` to `Calibrati... | 22,482 |
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