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/26865 | [
"Bug",
"Needs Triage"
] | Scikit learn wheel failing to compile on Debain
### Describe the bug
Wheel is failing to compile
Previously it was working with same versions
<img width="1364" alt="image" src="https://github.com/scikit-learn/scikit-learn/assets/104883828/6605bb18-07e1-4600-9722-780ab6660120">
<img width="1369" alt="imag... | 26,865 |
https://github.com/scikit-learn/scikit-learn/issues/26865 | [
"Bug",
"Needs Triage"
] | Scikit learn wheel failing to compile on Debain
### Describe the bug
Wheel is failing to compile
Previously it was working with same versions
<img width="1364" alt="image" src="https://github.com/scikit-learn/scikit-learn/assets/104883828/6605bb18-07e1-4600-9722-780ab6660120">
<img width="1369" alt="imag... | 26,865 |
https://github.com/scikit-learn/scikit-learn/issues/26864 | [
"Bug",
"Needs Info"
] | Is this behavior a bug?: f1_score([1,0,0], [0,1,0], zero_division=1.0) returns 1.0 not 0.0
### Describe the bug
Thank you for the update in https://github.com/scikit-learn/scikit-learn/pull/25531
In scikit-learn 1.3.0, there seems to be a bug in the `zero_division` argument of the `f1_score`.
It appears to be deg... | 26,864 |
https://github.com/scikit-learn/scikit-learn/issues/26864 | [
"Bug",
"Needs Info"
] | Is this behavior a bug?: f1_score([1,0,0], [0,1,0], zero_division=1.0) returns 1.0 not 0.0
### Describe the bug
Thank you for the update in https://github.com/scikit-learn/scikit-learn/pull/25531
In scikit-learn 1.3.0, there seems to be a bug in the `zero_division` argument of the `f1_score`.
It appears to be deg... | 26,864 |
https://github.com/scikit-learn/scikit-learn/issues/26857 | [
"Documentation",
"Needs Triage"
] | DOC Link to headers mis-poisitioned
### Describe the issue linked to the documentation
Link to a header in a page, e.g., the 'regression' subheading: https://scikit-learn.org/1.2/modules/linear_model.html#regression directs a position a bit further down the page from the header. Tested on firefox and chromium.
![i... | 26,857 |
https://github.com/scikit-learn/scikit-learn/issues/26857 | [
"Documentation",
"Needs Triage"
] | DOC Link to headers mis-poisitioned
### Describe the issue linked to the documentation
Link to a header in a page, e.g., the 'regression' subheading: https://scikit-learn.org/1.2/modules/linear_model.html#regression directs a position a bit further down the page from the header. Tested on firefox and chromium.
![i... | 26,857 |
https://github.com/scikit-learn/scikit-learn/issues/26857 | [
"Documentation",
"Needs Triage"
] | DOC Link to headers mis-poisitioned
### Describe the issue linked to the documentation
Link to a header in a page, e.g., the 'regression' subheading: https://scikit-learn.org/1.2/modules/linear_model.html#regression directs a position a bit further down the page from the header. Tested on firefox and chromium.
![i... | 26,857 |
https://github.com/scikit-learn/scikit-learn/issues/26854 | [
"Bug"
] | Exception when transforming LabelEncoder with keyword argument
### Describe the bug
The transform method of LabelEncoder raises an exception when providing `y` with a keyword argument.
I mentioned this in discussion #26841 but I am more and more certain this is a bug. And even if it isn't and there is some good re... | 26,854 |
https://github.com/scikit-learn/scikit-learn/issues/26854 | [
"Bug"
] | Exception when transforming LabelEncoder with keyword argument
### Describe the bug
The transform method of LabelEncoder raises an exception when providing `y` with a keyword argument.
I mentioned this in discussion #26841 but I am more and more certain this is a bug. And even if it isn't and there is some good re... | 26,854 |
https://github.com/scikit-learn/scikit-learn/issues/26850 | [
"Bug",
"Needs Triage"
] | v0.24.X fails to build because of new Cython 3.0.0 release
### Describe the bug
The build requirements in `pyproject.toml` specify a minimum Cython version but no maximum version.
https://github.com/scikit-learn/scikit-learn/blob/4e679023eb63fff9aa611ed7189fad7581b742a0/pyproject.toml#L6
The recent release of Cyt... | 26,850 |
https://github.com/scikit-learn/scikit-learn/issues/26850 | [
"Bug",
"Needs Triage"
] | v0.24.X fails to build because of new Cython 3.0.0 release
### Describe the bug
The build requirements in `pyproject.toml` specify a minimum Cython version but no maximum version.
https://github.com/scikit-learn/scikit-learn/blob/4e679023eb63fff9aa611ed7189fad7581b742a0/pyproject.toml#L6
The recent release of Cyt... | 26,850 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26848 | [
"Bug",
"module:linear_model",
"Needs Investigation",
"Numerical Stability"
] | Ridge and RidgeCV has different result even if alpha is the same
### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects RidgeCV should give me the same result as using Ridge w... | 26,848 |
https://github.com/scikit-learn/scikit-learn/issues/26843 | [
"Documentation",
"Needs Triage"
] | Where is CharNGramAnalyzer?
### Describe the issue linked to the documentation
In the example exercises for working with text data, the text says to use CharNGramAnalyzer. Unless I am missing something, like that this is part of some other class, I cannot find this anywhere in the docs, nor in the code.
Documentatio... | 26,843 |
https://github.com/scikit-learn/scikit-learn/issues/26843 | [
"Documentation",
"Needs Triage"
] | Where is CharNGramAnalyzer?
### Describe the issue linked to the documentation
In the example exercises for working with text data, the text says to use CharNGramAnalyzer. Unless I am missing something, like that this is part of some other class, I cannot find this anywhere in the docs, nor in the code.
Documentatio... | 26,843 |
https://github.com/scikit-learn/scikit-learn/issues/26843 | [
"Documentation",
"Needs Triage"
] | Where is CharNGramAnalyzer?
### Describe the issue linked to the documentation
In the example exercises for working with text data, the text says to use CharNGramAnalyzer. Unless I am missing something, like that this is part of some other class, I cannot find this anywhere in the docs, nor in the code.
Documentatio... | 26,843 |
https://github.com/scikit-learn/scikit-learn/issues/26843 | [
"Documentation",
"Needs Triage"
] | Where is CharNGramAnalyzer?
### Describe the issue linked to the documentation
In the example exercises for working with text data, the text says to use CharNGramAnalyzer. Unless I am missing something, like that this is part of some other class, I cannot find this anywhere in the docs, nor in the code.
Documentatio... | 26,843 |
https://github.com/scikit-learn/scikit-learn/issues/26843 | [
"Documentation",
"Needs Triage"
] | Where is CharNGramAnalyzer?
### Describe the issue linked to the documentation
In the example exercises for working with text data, the text says to use CharNGramAnalyzer. Unless I am missing something, like that this is part of some other class, I cannot find this anywhere in the docs, nor in the code.
Documentatio... | 26,843 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26842 | [
"Bug",
"help wanted",
"Developer API"
] | `check_estimator` fails when checked after doing `set_output(transform='pandas')` on the instance
### Describe the bug
`sklearn.utils.estimator_checks.check_estimator` fails with a method when `set_output` is called(`<estimator_instance>.set_output(transform='pandas')`), but doesn't fail when it is not called.
I... | 26,842 |
https://github.com/scikit-learn/scikit-learn/issues/26838 | [
"New Feature",
"Needs Triage"
] | TargetEncoder has no way to select the columns being processed
### Describe the workflow you want to enable
`TargetEncoder` currently appears to try and look at the entire X dataframe. That's usually not what I want.
What I want to do is: just target encode one feature, or perhaps a small number of features in a d... | 26,838 |
https://github.com/scikit-learn/scikit-learn/issues/26838 | [
"New Feature",
"Needs Triage"
] | TargetEncoder has no way to select the columns being processed
### Describe the workflow you want to enable
`TargetEncoder` currently appears to try and look at the entire X dataframe. That's usually not what I want.
What I want to do is: just target encode one feature, or perhaps a small number of features in a d... | 26,838 |
https://github.com/scikit-learn/scikit-learn/issues/26835 | [
"New Feature"
] | Transform output to xarray objects
### Describe the workflow you want to enable
I just watched @thomasjpfan's SciPy lightning talk where he showed using `.set_output(transform='pandas')` to return results wrapped in pandas dataframes. **I want the same but for `xarray.Dataset`**.
### Describe your proposed solution
... | 26,835 |
https://github.com/scikit-learn/scikit-learn/issues/26835 | [
"New Feature"
] | Transform output to xarray objects
### Describe the workflow you want to enable
I just watched @thomasjpfan's SciPy lightning talk where he showed using `.set_output(transform='pandas')` to return results wrapped in pandas dataframes. **I want the same but for `xarray.Dataset`**.
### Describe your proposed solution
... | 26,835 |
https://github.com/scikit-learn/scikit-learn/issues/26835 | [
"New Feature"
] | Transform output to xarray objects
### Describe the workflow you want to enable
I just watched @thomasjpfan's SciPy lightning talk where he showed using `.set_output(transform='pandas')` to return results wrapped in pandas dataframes. **I want the same but for `xarray.Dataset`**.
### Describe your proposed solution
... | 26,835 |
https://github.com/scikit-learn/scikit-learn/issues/26834 | [
"Needs Triage"
] | Are there some format limitation of the training batches?
For mmc4 training, I noticed that the loss before the first <image> token is removed in https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/train/train_utils.py#L132. I wonder why we need an operation like this.
Thanks!
COMMENT:
Being dir... | 26,834 |
https://github.com/scikit-learn/scikit-learn/issues/26832 | [
"Documentation",
"Needs Triage"
] | Documentation on how DTs deal with nans
### Describe the issue linked to the documentation
This webpage suggests that DTs can handle nans in a way that is not just imputation: https://scikit-learn.org/stable/modules/impute.html#estimators-that-handle-nan-values
However, I cannot find any documentation on how this ... | 26,832 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26826 | [
"Documentation"
] | Add an example showcasing the HistGradientBoosting...
### Describe the issue linked to the documentation
The documentation is not putting forward the HGBT very much. People are not guided to it, while it is arguably the most useful model in scikit-learn
One paradigmatic problem is that on the front-page we have ... | 26,826 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26821 | [
"New Feature",
"RFC"
] | Add `strata` to `Stratified*Split` CV splitters
Right now `Stratified*Split` classes take `y` as the strata, while that's not always the case.
In `train_test_split` we allow a `stratify` arg (which I'm wondering if it should be called `strata`), which defines the groups samples belong to. And inside, we basically d... | 26,821 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26817 | [
"Bug",
"module:multioutput"
] | Scorer not working on ClassifierChain
### Describe the bug
ClassifeirChain fails when trying to make scoring predictions. The reason is: ClassifeirChain's attribute `classes_` is a list and not a np.array as the `_get_response_values` function expects.
### Steps/Code to Reproduce
```python
from sklearn.mult... | 26,817 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26812 | [
"Documentation"
] | Clarify the differences between `LinearSVC` and `SVC`
### Describe the issue linked to the documentation
Currently the documentation for `LinearSVC` says that is "Similar to SVC with parameter `kernel="linear"`, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of pena... | 26,812 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
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