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/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 |
https://github.com/scikit-learn/scikit-learn/issues/29420 | [
"New Feature",
"Needs Triage"
] | provide a reconstruct method for `Transformer` classes
### Describe the workflow you want to enable
provide a reconstruct method for `Transformer` classes, for convenience.
### Describe your proposed solution
def reconstruct(self, X):
Y = self.transform(X)
return self.inverse_transform(Y)
###... | 29,420 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 |
https://github.com/scikit-learn/scikit-learn/issues/29407 | [
"Needs Triage"
] | Test assign workflow
COMMENT:
/take | 29,407 |
https://github.com/scikit-learn/scikit-learn/issues/29407 | [
"Needs Triage"
] | Test assign workflow
COMMENT:
Sorry wrong repo | 29,407 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 |
https://github.com/scikit-learn/scikit-learn/issues/29394 | [
"Enhancement",
"Build / CI"
] | Single-sourcing the package version?
If `version` is declared as a dynamic attribute in the `pyproject.toml`, meson will use the one specified in `meson.build`. This would avoid having to update the version in both `__init__.py` and `pyproject.toml`:
```diff
diff --git a/pyproject.toml b/pyproject.toml
index ff7d... | 29,394 |
https://github.com/scikit-learn/scikit-learn/issues/29394 | [
"Enhancement",
"Build / CI"
] | Single-sourcing the package version?
If `version` is declared as a dynamic attribute in the `pyproject.toml`, meson will use the one specified in `meson.build`. This would avoid having to update the version in both `__init__.py` and `pyproject.toml`:
```diff
diff --git a/pyproject.toml b/pyproject.toml
index ff7d... | 29,394 |
https://github.com/scikit-learn/scikit-learn/issues/29392 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jul 03, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9771534239)** (Jul 03, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/9771534239) on Jul 03, ... | 29,392 |
https://github.com/scikit-learn/scikit-learn/issues/29390 | [
"Documentation"
] | Broken ref in datasets.rst
There's a reference in `datasets.rst` that no longer points to anything after #29104 was merged:
https://github.com/scikit-learn/scikit-learn/blob/5bbe346de43fd402b9a4af7b6383cd644d7fb7b6/doc/datasets.rst?plain=1#L9-L10
I don't understand why it wasn't caught by the CI in #29104. I saw i... | 29,390 |
https://github.com/scikit-learn/scikit-learn/issues/29390 | [
"Documentation"
] | Broken ref in datasets.rst
There's a reference in `datasets.rst` that no longer points to anything after #29104 was merged:
https://github.com/scikit-learn/scikit-learn/blob/5bbe346de43fd402b9a4af7b6383cd644d7fb7b6/doc/datasets.rst?plain=1#L9-L10
I don't understand why it wasn't caught by the CI in #29104. I saw i... | 29,390 |
https://github.com/scikit-learn/scikit-learn/issues/29383 | [
"RFC",
"module:tree"
] | API Change default argument for `proportion` to be `True` in `tree.plot_tree`
### Summary
#27639 changed the default behavior of `tree_.value` to be proportions rather than absolute weighted sample counts. This then caused some discrepancies in how the tree is to be interested and plotted in the examples.
#29331... | 29,383 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 |
https://github.com/scikit-learn/scikit-learn/issues/29378 | [
"Documentation"
] | DOC Improve maintainers page
I've found the [maintainers page](https://scikit-learn.org/stable/developers/maintainer.html) a bit messy and badly structured for a while. It gives a lot of room for mistakes. The recent switch to the new pydata sphinx theme is good opportunity to rework it. I imagine that we could have t... | 29,378 |
https://github.com/scikit-learn/scikit-learn/issues/29378 | [
"Documentation"
] | DOC Improve maintainers page
I've found the [maintainers page](https://scikit-learn.org/stable/developers/maintainer.html) a bit messy and badly structured for a while. It gives a lot of room for mistakes. The recent switch to the new pydata sphinx theme is good opportunity to rework it. I imagine that we could have t... | 29,378 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 |
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