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/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 |
https://github.com/scikit-learn/scikit-learn/issues/28629 | [
"New Feature"
] | Make RFE/RFECV preserve pandas dataframes
### Describe the workflow you want to enable
Hi!
I am currently using xgboost with some categorical features. To get that to work the categorical features have to be marked as such in the pandas dataframe:
```python
df["my_cats"] = df["my_cats"].astype("string").astype("... | 28,629 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28625 | [
"cython"
] | BUG: ArgKmin64 on Windows with scipy 1.13rc1 or 1.14.dev times out
In MNE-Python our Windows [pip-pre job on Azure has started reliably timing out](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=29467&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=d18f7... | 28,625 |
https://github.com/scikit-learn/scikit-learn/issues/28619 | [
"Enhancement"
] | Add an option handle_unknown="warn" in OneHotEncoder
Follow-up to https://github.com/scikit-learn/scikit-learn/pull/16881
It seems that it could be interested to log an eventual detection of new category during inference and issue a warning instead of silently ignoring them.
Therefore, it seems reasonable to add... | 28,619 |
https://github.com/scikit-learn/scikit-learn/issues/28619 | [
"Enhancement"
] | Add an option handle_unknown="warn" in OneHotEncoder
Follow-up to https://github.com/scikit-learn/scikit-learn/pull/16881
It seems that it could be interested to log an eventual detection of new category during inference and issue a warning instead of silently ignoring them.
Therefore, it seems reasonable to add... | 28,619 |
https://github.com/scikit-learn/scikit-learn/issues/28618 | [
"New Feature"
] | Add a download_openml util
We should add a `download_openml` utility in `sklearn.datasets` which downloads the file, but doesn't return `X, y`, and instead returns the paths to the downloaded data file (arff or parquet), and the metadata json file.
This utility can then be internally called by `fetch_openml`.
A ... | 28,618 |
https://github.com/scikit-learn/scikit-learn/issues/28618 | [
"New Feature"
] | Add a download_openml util
We should add a `download_openml` utility in `sklearn.datasets` which downloads the file, but doesn't return `X, y`, and instead returns the paths to the downloaded data file (arff or parquet), and the metadata json file.
This utility can then be internally called by `fetch_openml`.
A ... | 28,618 |
https://github.com/scikit-learn/scikit-learn/issues/28618 | [
"New Feature"
] | Add a download_openml util
We should add a `download_openml` utility in `sklearn.datasets` which downloads the file, but doesn't return `X, y`, and instead returns the paths to the downloaded data file (arff or parquet), and the metadata json file.
This utility can then be internally called by `fetch_openml`.
A ... | 28,618 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28617 | [
"Bug",
"cython"
] | Error compiling with GCC14 in i686
### Describe the bug
This is another error compiling with GCC14, different to the error reported in #28530
It happens when compiling in i386 in the Fedora build system. I get an "incompatible pointer type" `between `random_UINT32_t *` and `typedefs_uint32_t *`
A function expect... | 28,617 |
https://github.com/scikit-learn/scikit-learn/issues/28610 | [
"Documentation"
] | DOC: update FAQs to add permission using images
### Describe the issue linked to the documentation
We receive many inquiries on the mailing list if developers can have permission to use the images in scikit-learn for their work.
Add an FAQ to answer this question:
- code is under a BSD 3-clause licence, so the pe... | 28,610 |
https://github.com/scikit-learn/scikit-learn/issues/28609 | [
"Enhancement"
] | Print warning if user passed only one class into StratifiedKFold
### Describe the workflow you want to enable
StratifiedKFold and other stratified splitters were designed to balance cross validation based on target or some features.
Currently, if you pass a column with only one class (which majority of times is a ... | 28,609 |
https://github.com/scikit-learn/scikit-learn/issues/28609 | [
"Enhancement"
] | Print warning if user passed only one class into StratifiedKFold
### Describe the workflow you want to enable
StratifiedKFold and other stratified splitters were designed to balance cross validation based on target or some features.
Currently, if you pass a column with only one class (which majority of times is a ... | 28,609 |
https://github.com/scikit-learn/scikit-learn/issues/28609 | [
"Enhancement"
] | Print warning if user passed only one class into StratifiedKFold
### Describe the workflow you want to enable
StratifiedKFold and other stratified splitters were designed to balance cross validation based on target or some features.
Currently, if you pass a column with only one class (which majority of times is a ... | 28,609 |
https://github.com/scikit-learn/scikit-learn/issues/28605 | [
"Bug"
] | TypeError: cpu_count() got an unexpected keyword argument 'only_physical_cores'
### Describe the bug
I am running the KNeighbordsClassifier inside a framework of pytorch_lightning. I am fitting the model correctly, but when I try to predict new results I have an error.
### Steps/Code to Reproduce
```python
estimat... | 28,605 |
https://github.com/scikit-learn/scikit-learn/issues/28605 | [
"Bug"
] | TypeError: cpu_count() got an unexpected keyword argument 'only_physical_cores'
### Describe the bug
I am running the KNeighbordsClassifier inside a framework of pytorch_lightning. I am fitting the model correctly, but when I try to predict new results I have an error.
### Steps/Code to Reproduce
```python
estimat... | 28,605 |
https://github.com/scikit-learn/scikit-learn/issues/28605 | [
"Bug"
] | TypeError: cpu_count() got an unexpected keyword argument 'only_physical_cores'
### Describe the bug
I am running the KNeighbordsClassifier inside a framework of pytorch_lightning. I am fitting the model correctly, but when I try to predict new results I have an error.
### Steps/Code to Reproduce
```python
estimat... | 28,605 |
https://github.com/scikit-learn/scikit-learn/issues/28605 | [
"Bug"
] | TypeError: cpu_count() got an unexpected keyword argument 'only_physical_cores'
### Describe the bug
I am running the KNeighbordsClassifier inside a framework of pytorch_lightning. I am fitting the model correctly, but when I try to predict new results I have an error.
### Steps/Code to Reproduce
```python
estimat... | 28,605 |
https://github.com/scikit-learn/scikit-learn/issues/28596 | [
"Bug",
"Build / CI"
] | Missing _ZdlPv symbol in _argkmin_classmode for manylinux wheels produced by meson
The current work-around is to use `-fno-sized-deallocation` see https://github.com/scikit-learn/scikit-learn/pull/28506#discussion_r1512897297 for more details.
This can be reproduced locally with cibuildwheel.
```
python -m cibuil... | 28,596 |
https://github.com/scikit-learn/scikit-learn/issues/28596 | [
"Bug",
"Build / CI"
] | Missing _ZdlPv symbol in _argkmin_classmode for manylinux wheels produced by meson
The current work-around is to use `-fno-sized-deallocation` see https://github.com/scikit-learn/scikit-learn/pull/28506#discussion_r1512897297 for more details.
This can be reproduced locally with cibuildwheel.
```
python -m cibuil... | 28,596 |
https://github.com/scikit-learn/scikit-learn/issues/28596 | [
"Bug",
"Build / CI"
] | Missing _ZdlPv symbol in _argkmin_classmode for manylinux wheels produced by meson
The current work-around is to use `-fno-sized-deallocation` see https://github.com/scikit-learn/scikit-learn/pull/28506#discussion_r1512897297 for more details.
This can be reproduced locally with cibuildwheel.
```
python -m cibuil... | 28,596 |
https://github.com/scikit-learn/scikit-learn/issues/28587 | [
"Bug",
"Needs Triage"
] | `DecisionTreeClassifier` does not handle `Nan`
### Describe the bug
We implemented Decision Tree classifiers for a graduate course in Machine Learning. Part of my test suite compares the performance of my `DecisionTree` to the `sklearn.DecisionTreeClassifier` on the Iris dataset, with a specified amount of the data... | 28,587 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28585 | [
"Documentation"
] | Macro vs micro-averaging switched up in user guide
### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#roc-curve-using-micro-averaged-ovr)
it says:
"In a multi-class cl... | 28,585 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28580 | [
"Documentation"
] | RFECV docstring does not state how the `cv_results_` attribute is ordered by
### Describe the issue linked to the documentation
[This StackOverflow post](https://stackoverflow.com/questions/78111803/how-is-scikit-learns-rfecv-cv-results-attribute-ordered-by) has more details regarding this small issue.
In essence,... | 28,580 |
https://github.com/scikit-learn/scikit-learn/issues/28575 | [
"Bug",
"Needs Triage"
] | GridSearchCV do not weight the score by the size of the fold when providing custom split for CV
### Describe the bug
When providing an iterable for the `cv` arguments for GridSearchCV, if the splits have different size (as it can be the case when doing "leave one group out") the "best" score computed at the end is ... | 28,575 |
https://github.com/scikit-learn/scikit-learn/issues/28575 | [
"Bug",
"Needs Triage"
] | GridSearchCV do not weight the score by the size of the fold when providing custom split for CV
### Describe the bug
When providing an iterable for the `cv` arguments for GridSearchCV, if the splits have different size (as it can be the case when doing "leave one group out") the "best" score computed at the end is ... | 28,575 |
https://github.com/scikit-learn/scikit-learn/issues/28575 | [
"Bug",
"Needs Triage"
] | GridSearchCV do not weight the score by the size of the fold when providing custom split for CV
### Describe the bug
When providing an iterable for the `cv` arguments for GridSearchCV, if the splits have different size (as it can be the case when doing "leave one group out") the "best" score computed at the end is ... | 28,575 |
https://github.com/scikit-learn/scikit-learn/issues/28575 | [
"Bug",
"Needs Triage"
] | GridSearchCV do not weight the score by the size of the fold when providing custom split for CV
### Describe the bug
When providing an iterable for the `cv` arguments for GridSearchCV, if the splits have different size (as it can be the case when doing "leave one group out") the "best" score computed at the end is ... | 28,575 |
https://github.com/scikit-learn/scikit-learn/issues/28575 | [
"Bug",
"Needs Triage"
] | GridSearchCV do not weight the score by the size of the fold when providing custom split for CV
### Describe the bug
When providing an iterable for the `cv` arguments for GridSearchCV, if the splits have different size (as it can be the case when doing "leave one group out") the "best" score computed at the end is ... | 28,575 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.