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/30015 | [
"Bug"
] | `chance_level_kw` in `RocCurveDisplay` raises an error when using valid matplotlib args
### Describe the bug
When passing additional keyword arguments to the random classifier's line via the `chance_level_kw` argument, some arguments raise an error even though they are valid `matplotlib.pyplot.plot()` arguments. Th... | 30,015 |
https://github.com/scikit-learn/scikit-learn/issues/30015 | [
"Bug"
] | `chance_level_kw` in `RocCurveDisplay` raises an error when using valid matplotlib args
### Describe the bug
When passing additional keyword arguments to the random classifier's line via the `chance_level_kw` argument, some arguments raise an error even though they are valid `matplotlib.pyplot.plot()` arguments. Th... | 30,015 |
https://github.com/scikit-learn/scikit-learn/issues/30015 | [
"Bug"
] | `chance_level_kw` in `RocCurveDisplay` raises an error when using valid matplotlib args
### Describe the bug
When passing additional keyword arguments to the random classifier's line via the `chance_level_kw` argument, some arguments raise an error even though they are valid `matplotlib.pyplot.plot()` arguments. Th... | 30,015 |
https://github.com/scikit-learn/scikit-learn/issues/30013 | [
"New Feature"
] | Return 3D array instead of list of arrays for multioutput `.predict_proba()`
### Describe the workflow you want to enable
Currently, using `.predict_proba()` for multioutput predictions returns a list of `np.ndarray`, consisting of 2D arrays of shape `(n_samples, 2)`, with probabilities of class 0 and 1. This is qu... | 30,013 |
https://github.com/scikit-learn/scikit-learn/issues/30013 | [
"New Feature"
] | Return 3D array instead of list of arrays for multioutput `.predict_proba()`
### Describe the workflow you want to enable
Currently, using `.predict_proba()` for multioutput predictions returns a list of `np.ndarray`, consisting of 2D arrays of shape `(n_samples, 2)`, with probabilities of class 0 and 1. This is qu... | 30,013 |
https://github.com/scikit-learn/scikit-learn/issues/30013 | [
"New Feature"
] | Return 3D array instead of list of arrays for multioutput `.predict_proba()`
### Describe the workflow you want to enable
Currently, using `.predict_proba()` for multioutput predictions returns a list of `np.ndarray`, consisting of 2D arrays of shape `(n_samples, 2)`, with probabilities of class 0 and 1. This is qu... | 30,013 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30011 | [
"Blocker"
] | Extending tags infrastructure is not easy anymore
In the context of bringing `imbalanced-learn` compatible with changes done in `scikit-learn` 1.6, I could see that now this is quite difficult to extend the tags infrastructure.
For instance, we added a `"dataframe"` entry to the previous `X_type` to check whether o... | 30,011 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30009 | [
"New Feature"
] | Add balance_regression option to train_test_split for regression problems
### Describe the workflow you want to enable
Currently, `train_test_split` supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes in the training and test sets is balance... | 30,009 |
https://github.com/scikit-learn/scikit-learn/issues/30008 | [
"Documentation"
] | DOC update MAPE description
### Describe the issue linked to the documentation
References #29775
### Issue
The text in the MAPE formula is incorrect.
```
The MAPE formula here represents a relative error and outputs a value in the
range [0, 1]. It is not a percentage in the range [0, 100] and a value of... | 30,008 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30007 | [
"Build / CI",
"Needs Decision",
"module:test-suite",
"free-threading"
] | Upgrade free-threading CI to run with pytest-freethreaded instead of pytest-xdist
There is a new kid on the block that should help us find out whether scikit-learn and its dependencies can be reliably considered free-threading compatible:
https://pypi.org/project/pytest-freethreaded/
Let's try to adopt it in scikit-... | 30,007 |
https://github.com/scikit-learn/scikit-learn/issues/30000 | [
"Easy",
"spam"
] | 30000 !
:tada: :birthday: :tada:
COMMENT:
Note: labeling this issue as spam was meant to be a joke. I was on triaging duty this week and was not sure how to best relabel it ;) | 30,000 |
https://github.com/scikit-learn/scikit-learn/issues/30000 | [
"Easy",
"spam"
] | 30000 !
:tada: :birthday: :tada:
COMMENT:
Don't worry I took it that way :)
I was thinking we could use this issue to discuss the new road map if we want to. | 30,000 |
https://github.com/scikit-learn/scikit-learn/issues/30000 | [
"Easy",
"spam"
] | 30000 !
:tada: :birthday: :tada:
COMMENT:
Closing this one!
I happened to look at existing "Easy" issues and this is one of them ... | 30,000 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29989 | [
"Bug",
"Needs Investigation",
"Numerical Stability"
] | GaussianMixture log-probabilities are numerically inaccurate
### Describe the bug
While building an extension to (already fitted) GaussianMixture models (https://github.com/JohannesBuchner/askcarl/),
I was using https://hypothesis.readthedocs.io/ for testing and came across numerical inaccuracies in the log-probab... | 29,989 |
https://github.com/scikit-learn/scikit-learn/issues/29983 | [
"Bug",
"Needs Triage"
] | TransformedTargetRegressor with Pipeline is not fitting model upon calling .fit
### Describe the bug
A common use case is to use Pipeline to transform the feature set and to wrap it with TransformedTargetRegressor to transform the response variable. But when used in combination and calling fit on the TransformedTar... | 29,983 |
https://github.com/scikit-learn/scikit-learn/issues/29983 | [
"Bug",
"Needs Triage"
] | TransformedTargetRegressor with Pipeline is not fitting model upon calling .fit
### Describe the bug
A common use case is to use Pipeline to transform the feature set and to wrap it with TransformedTargetRegressor to transform the response variable. But when used in combination and calling fit on the TransformedTar... | 29,983 |
https://github.com/scikit-learn/scikit-learn/issues/29983 | [
"Bug",
"Needs Triage"
] | TransformedTargetRegressor with Pipeline is not fitting model upon calling .fit
### Describe the bug
A common use case is to use Pipeline to transform the feature set and to wrap it with TransformedTargetRegressor to transform the response variable. But when used in combination and calling fit on the TransformedTar... | 29,983 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29973 | [
"Build / CI"
] | Cannot install sklearn >=1.5 on windows with python 3.13
### Describe the bug
Started testing in CI over OS with python 3.13 and it seems I am getting some errors when it comes to installing sklearn on windows.
### Steps/Code to Reproduce
This is the github action I used.
```yml
name: test install win 3.13... | 29,973 |
https://github.com/scikit-learn/scikit-learn/issues/29963 | [
"Documentation"
] | DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net
We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be revisited where we should ... | 29,963 |
https://github.com/scikit-learn/scikit-learn/issues/29963 | [
"Documentation"
] | DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net
We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be revisited where we should ... | 29,963 |
https://github.com/scikit-learn/scikit-learn/issues/29963 | [
"Documentation"
] | DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net
We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be revisited where we should ... | 29,963 |
https://github.com/scikit-learn/scikit-learn/issues/29963 | [
"Documentation"
] | DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net
We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be revisited where we should ... | 29,963 |
https://github.com/scikit-learn/scikit-learn/issues/29963 | [
"Documentation"
] | DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net
We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be revisited where we should ... | 29,963 |
https://github.com/scikit-learn/scikit-learn/issues/29962 | [
"Documentation",
"help wanted"
] | DOC merging the examples related to OPTICS, DBSCAN, and HDBSCAN
As stated in https://github.com/scikit-learn/scikit-learn/issues/27151, it would be great to reduce the number of examples in the gallery.
Right now, we have three examples for:
- OPTICS: https://scikit-learn.org/dev/auto_examples/cluster/plot_optic... | 29,962 |
https://github.com/scikit-learn/scikit-learn/issues/29962 | [
"Documentation",
"help wanted"
] | DOC merging the examples related to OPTICS, DBSCAN, and HDBSCAN
As stated in https://github.com/scikit-learn/scikit-learn/issues/27151, it would be great to reduce the number of examples in the gallery.
Right now, we have three examples for:
- OPTICS: https://scikit-learn.org/dev/auto_examples/cluster/plot_optic... | 29,962 |
https://github.com/scikit-learn/scikit-learn/issues/29962 | [
"Documentation",
"help wanted"
] | DOC merging the examples related to OPTICS, DBSCAN, and HDBSCAN
As stated in https://github.com/scikit-learn/scikit-learn/issues/27151, it would be great to reduce the number of examples in the gallery.
Right now, we have three examples for:
- OPTICS: https://scikit-learn.org/dev/auto_examples/cluster/plot_optic... | 29,962 |
https://github.com/scikit-learn/scikit-learn/issues/29962 | [
"Documentation",
"help wanted"
] | DOC merging the examples related to OPTICS, DBSCAN, and HDBSCAN
As stated in https://github.com/scikit-learn/scikit-learn/issues/27151, it would be great to reduce the number of examples in the gallery.
Right now, we have three examples for:
- OPTICS: https://scikit-learn.org/dev/auto_examples/cluster/plot_optic... | 29,962 |
https://github.com/scikit-learn/scikit-learn/issues/29954 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Sep 29, 2024) ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/11089440252)** (Sep 29, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/11099024913)... | 29,954 |
https://github.com/scikit-learn/scikit-learn/issues/29951 | [
"RFC",
"Developer API"
] | RFC Expose `xfail_checks` with a more flexible API
xref: https://github.com/scikit-learn/scikit-learn/pull/29818#issuecomment-2378967067
Right now we have the `tags._xfail_checks` which seems private since it has the leading underscore.
We're refactoring tests and making them more modular and much nicer to deal ... | 29,951 |
https://github.com/scikit-learn/scikit-learn/issues/29951 | [
"RFC",
"Developer API"
] | RFC Expose `xfail_checks` with a more flexible API
xref: https://github.com/scikit-learn/scikit-learn/pull/29818#issuecomment-2378967067
Right now we have the `tags._xfail_checks` which seems private since it has the leading underscore.
We're refactoring tests and making them more modular and much nicer to deal ... | 29,951 |
https://github.com/scikit-learn/scikit-learn/issues/29951 | [
"RFC",
"Developer API"
] | RFC Expose `xfail_checks` with a more flexible API
xref: https://github.com/scikit-learn/scikit-learn/pull/29818#issuecomment-2378967067
Right now we have the `tags._xfail_checks` which seems private since it has the leading underscore.
We're refactoring tests and making them more modular and much nicer to deal ... | 29,951 |
https://github.com/scikit-learn/scikit-learn/issues/29951 | [
"RFC",
"Developer API"
] | RFC Expose `xfail_checks` with a more flexible API
xref: https://github.com/scikit-learn/scikit-learn/pull/29818#issuecomment-2378967067
Right now we have the `tags._xfail_checks` which seems private since it has the leading underscore.
We're refactoring tests and making them more modular and much nicer to deal ... | 29,951 |
https://github.com/scikit-learn/scikit-learn/issues/29951 | [
"RFC",
"Developer API"
] | RFC Expose `xfail_checks` with a more flexible API
xref: https://github.com/scikit-learn/scikit-learn/pull/29818#issuecomment-2378967067
Right now we have the `tags._xfail_checks` which seems private since it has the leading underscore.
We're refactoring tests and making them more modular and much nicer to deal ... | 29,951 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
https://github.com/scikit-learn/scikit-learn/issues/29929 | [
"Bug",
"Needs Reproducible Code"
] | Custom estimator's fit() method throws "RuntimeWarning: invalid value encountered in cast" in Linux Python 3.11/3.12
### Describe the bug
We have a custom estimator class that inherits from `sklearn.base.BaseEstimator` and `RegressorMixin`. We run automated unit tests in Azure DevOps pipelines on both Windows Serve... | 29,929 |
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