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/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31750 | [
"New Feature",
"Needs Decision"
] | Full Python/sklearn Adaptation of py-earth
### Describe the workflow you want to enable
A full Python (not c or cython) port of py-earth, an archived sklearn project.
### Describe your proposed solution
- MARS regression is a great and really practical technique.
- py-earth implemented this, based in the R earth li... | 31,750 |
https://github.com/scikit-learn/scikit-learn/issues/31738 | [
"Documentation"
] | Present parameters and attributes sorted alphabetically to make it easier to find them on the documentation pages.
### Describe the issue linked to the documentation
## Example
On documentation page https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html the parameters are listed o... | 31,738 |
https://github.com/scikit-learn/scikit-learn/issues/31738 | [
"Documentation"
] | Present parameters and attributes sorted alphabetically to make it easier to find them on the documentation pages.
### Describe the issue linked to the documentation
## Example
On documentation page https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html the parameters are listed o... | 31,738 |
https://github.com/scikit-learn/scikit-learn/issues/31738 | [
"Documentation"
] | Present parameters and attributes sorted alphabetically to make it easier to find them on the documentation pages.
### Describe the issue linked to the documentation
## Example
On documentation page https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html the parameters are listed o... | 31,738 |
https://github.com/scikit-learn/scikit-learn/issues/31738 | [
"Documentation"
] | Present parameters and attributes sorted alphabetically to make it easier to find them on the documentation pages.
### Describe the issue linked to the documentation
## Example
On documentation page https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html the parameters are listed o... | 31,738 |
https://github.com/scikit-learn/scikit-learn/issues/31733 | [
"New Feature",
"spam",
"Needs Triage"
] | Add More Data to the RidgeCV, LassoCV, and ElasticNetCV Path
### Describe the workflow you want to enable
Currently, the mse_path_ is available from the above models, which lets you inspect/plot the mse for all folds, alphas, and l1_ratios for elasticnet for instance. It would be very nice to record not only the mse ... | 31,733 |
https://github.com/scikit-learn/scikit-learn/issues/31731 | [
"Bug"
] | `scipy.minimize(method=’L-BFGS-B’)` deprecation warning for `iprint` and `disp` arguments
### Describe the bug
When upgrading to scipy 1.16, fitting a LogisticRegression raises a deprecation warning:
```
DeprecationWarning: scipy.optimize: The `disp` and `iprint` options of the L-BFGS-B solver are deprecated and wil... | 31,731 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31728 | [
"New Feature",
"Developer API"
] | Making the extension contract stable through version upgrades
### Describe the workflow you want to enable
Currently, every time `scikit-learn` releases a new minor version - e.g., 1.5.0, 1.6.0, 1.7.0 - compliant extensions, e.g., custom transformers, classifiers, etc, break - specifically, referring to the API confo... | 31,728 |
https://github.com/scikit-learn/scikit-learn/issues/31725 | [
"Documentation",
"spam",
"Needs Triage"
] | Confusion around coef_ and intercept_ for Polynomial Ridge Regression inside a Pipeline
### Describe the issue linked to the documentation
When using a Pipeline with PolynomialFeatures and Ridge, it's unclear in the documentation how to extract the actual model coefficients and intercept to reproduce the regression e... | 31,725 |
https://github.com/scikit-learn/scikit-learn/issues/31725 | [
"Documentation",
"spam",
"Needs Triage"
] | Confusion around coef_ and intercept_ for Polynomial Ridge Regression inside a Pipeline
### Describe the issue linked to the documentation
When using a Pipeline with PolynomialFeatures and Ridge, it's unclear in the documentation how to extract the actual model coefficients and intercept to reproduce the regression e... | 31,725 |
https://github.com/scikit-learn/scikit-learn/issues/31725 | [
"Documentation",
"spam",
"Needs Triage"
] | Confusion around coef_ and intercept_ for Polynomial Ridge Regression inside a Pipeline
### Describe the issue linked to the documentation
When using a Pipeline with PolynomialFeatures and Ridge, it's unclear in the documentation how to extract the actual model coefficients and intercept to reproduce the regression e... | 31,725 |
https://github.com/scikit-learn/scikit-learn/issues/31724 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 09, 2025) ⚠️
**CI failed on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=78075&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 09, 2025)
- Test Collection Failure
COMMENT:
##... | 31,724 |
https://github.com/scikit-learn/scikit-learn/issues/31722 | [
"Bug",
"Hard",
"module:svm",
"Needs Reproducible Code"
] | `test_unsorted_indices` for `SVC` may fail randomly with sparse vs dense data
### Describe the bug
The [<code>test_unsorted_indices</code>](https://github.com/scikit-learn/scikit-learn/blob/cfd5f7833dfb3794e711e79e4a3373e599d5a1f0/sklearn/svm/tests/test_sparse.py#L121) function occasionally fails on CI when comparing... | 31,722 |
https://github.com/scikit-learn/scikit-learn/issues/31722 | [
"Bug",
"Hard",
"module:svm",
"Needs Reproducible Code"
] | `test_unsorted_indices` for `SVC` may fail randomly with sparse vs dense data
### Describe the bug
The [<code>test_unsorted_indices</code>](https://github.com/scikit-learn/scikit-learn/blob/cfd5f7833dfb3794e711e79e4a3373e599d5a1f0/sklearn/svm/tests/test_sparse.py#L121) function occasionally fails on CI when comparing... | 31,722 |
https://github.com/scikit-learn/scikit-learn/issues/31722 | [
"Bug",
"Hard",
"module:svm",
"Needs Reproducible Code"
] | `test_unsorted_indices` for `SVC` may fail randomly with sparse vs dense data
### Describe the bug
The [<code>test_unsorted_indices</code>](https://github.com/scikit-learn/scikit-learn/blob/cfd5f7833dfb3794e711e79e4a3373e599d5a1f0/sklearn/svm/tests/test_sparse.py#L121) function occasionally fails on CI when comparing... | 31,722 |
https://github.com/scikit-learn/scikit-learn/issues/31719 | [
"Documentation"
] | What are the coefficients returned by Polynomial Ridge Regression (or any regression)?
### Describe the issue linked to the documentation
I asked and answered a question about Regression in [Stack Overflow](https://stackoverflow.com/questions/79691953/ridge-polynomial-regression-how-to-get-parameters-for-equation-fou... | 31,719 |
https://github.com/scikit-learn/scikit-learn/issues/31719 | [
"Documentation"
] | What are the coefficients returned by Polynomial Ridge Regression (or any regression)?
### Describe the issue linked to the documentation
I asked and answered a question about Regression in [Stack Overflow](https://stackoverflow.com/questions/79691953/ridge-polynomial-regression-how-to-get-parameters-for-equation-fou... | 31,719 |
https://github.com/scikit-learn/scikit-learn/issues/31719 | [
"Documentation"
] | What are the coefficients returned by Polynomial Ridge Regression (or any regression)?
### Describe the issue linked to the documentation
I asked and answered a question about Regression in [Stack Overflow](https://stackoverflow.com/questions/79691953/ridge-polynomial-regression-how-to-get-parameters-for-equation-fou... | 31,719 |
https://github.com/scikit-learn/scikit-learn/issues/31719 | [
"Documentation"
] | What are the coefficients returned by Polynomial Ridge Regression (or any regression)?
### Describe the issue linked to the documentation
I asked and answered a question about Regression in [Stack Overflow](https://stackoverflow.com/questions/79691953/ridge-polynomial-regression-how-to-get-parameters-for-equation-fou... | 31,719 |
https://github.com/scikit-learn/scikit-learn/issues/31719 | [
"Documentation"
] | What are the coefficients returned by Polynomial Ridge Regression (or any regression)?
### Describe the issue linked to the documentation
I asked and answered a question about Regression in [Stack Overflow](https://stackoverflow.com/questions/79691953/ridge-polynomial-regression-how-to-get-parameters-for-equation-fou... | 31,719 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31717 | [
"Bug"
] | SimpleImputer fails in "most_frequent" if incomparable types only if ties
### Describe the bug
### Observed behavior
When using the "most_frequent" strategy from SimpleImputer and there is a tie, the code takes the minimum values among all ties. This crashes if the values are not comparable such as `str` and `NoneTy... | 31,717 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31708 | [
"New Feature",
"Needs Decision - Include Feature"
] | Frisch-Newton Interior Point Solver for Quantile Regression
### Describe the workflow you want to enable
Hi @ scikit-learn devs!
Over at [pyfixest](https://github.com/py-econometrics/pyfixest), we have implemented a Frisch-Newton Interior Point solver to fit quantile regressions. The algorithm goes back to work fro... | 31,708 |
https://github.com/scikit-learn/scikit-learn/issues/31705 | [
"Documentation"
] | EmpiricalCovariance user guide assume_centered tip incorrect
### Describe the issue linked to the documentation
The [user guide documentation](https://scikit-learn.org/stable/modules/covariance.html#empirical-covariance) for EmpiricalCovariance currently states:
> More precisely, if `assume_centered=False`, then the... | 31,705 |
https://github.com/scikit-learn/scikit-learn/issues/31705 | [
"Documentation"
] | EmpiricalCovariance user guide assume_centered tip incorrect
### Describe the issue linked to the documentation
The [user guide documentation](https://scikit-learn.org/stable/modules/covariance.html#empirical-covariance) for EmpiricalCovariance currently states:
> More precisely, if `assume_centered=False`, then the... | 31,705 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31700 | [
"Bug"
] | Pipelines are permitted to have no steps and are displayed as fitted
### Describe the bug
Pipeline without defined steps is displayed in HTML as fitted.
### Steps/Code to Reproduce
```
from sklearn.pipeline import Pipeline
pipe = Pipeline([])
pipe
```
### Expected Results
Maybe empty list should not be ac... | 31,700 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.