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/27737 | [
"Needs Triage"
] | Clarify docstring on HistGradientBoostingRegressor regarding monotonic_cst
Hi scikit team! Enormous fan of all you do 🙏
I'm thinking about opening a small PR and would love your thoughts.
The docs/docstring on `HistGradientBoostingRegressor` [have the following note](https://github.com/scikit-learn/scikit-lear... | 27,737 |
https://github.com/scikit-learn/scikit-learn/issues/27726 | [
"Bug",
"Needs Triage"
] | Wrong NDCG\DCG calculation
### Describe the bug
I try to calculate NDCG of a binary recommendations.
I assume the two lists are ordered by relevance.
So, `y_true=[1,1,1,1]` means that all the recommendations are valid.
and `y_pred=[1,1,1,0]` means that all the top-3 recommendations are valid, but the last one is... | 27,726 |
https://github.com/scikit-learn/scikit-learn/issues/27726 | [
"Bug",
"Needs Triage"
] | Wrong NDCG\DCG calculation
### Describe the bug
I try to calculate NDCG of a binary recommendations.
I assume the two lists are ordered by relevance.
So, `y_true=[1,1,1,1]` means that all the recommendations are valid.
and `y_pred=[1,1,1,0]` means that all the top-3 recommendations are valid, but the last one is... | 27,726 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27725 | [
"Bug",
"Blocker"
] | BUG: pytest giving UnicodeDecodeError on Windows machine
### Describe the bug
When running the test suite on my Windows machine, I get the following error:
```
UnicodeDecodeError: 'gbk' codec can't decode byte 0xb8 in position 4836: illegal multibyte sequence
```
https://github.com/scikit-learn/scikit-learn/b... | 27,725 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27711 | [
"Bug"
] | BUG: Buffer dtype mismatch on Windows and NumPy 2.0
### Describe the bug
Recent [Azure CI failure for MNE-Python](https://dev.azure.com/mne-tools/mne-python/_build/results?buildId=27722&view=logs&jobId=dded70eb-633c-5c42-e995-a7f8d1f99d91&j=dded70eb-633c-5c42-e995-a7f8d1f99d91&t=02d70add-cf2e-52ae-1ea0-298f1e5f37ea) ... | 27,711 |
https://github.com/scikit-learn/scikit-learn/issues/27708 | [
"Bug",
"Needs Triage"
] | Iris Dataset Wrong Values.
### Describe the bug
There are three incorrect values in the Iris dataset, as follows:
(Instances from: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/datasets/data/iris.csv)
In Row 36, the 4th feature is recorded as 0.2 instead of 0.1.
In Row 39, the 2nd feature is n... | 27,708 |
https://github.com/scikit-learn/scikit-learn/issues/27708 | [
"Bug",
"Needs Triage"
] | Iris Dataset Wrong Values.
### Describe the bug
There are three incorrect values in the Iris dataset, as follows:
(Instances from: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/datasets/data/iris.csv)
In Row 36, the 4th feature is recorded as 0.2 instead of 0.1.
In Row 39, the 2nd feature is n... | 27,708 |
https://github.com/scikit-learn/scikit-learn/issues/27708 | [
"Bug",
"Needs Triage"
] | Iris Dataset Wrong Values.
### Describe the bug
There are three incorrect values in the Iris dataset, as follows:
(Instances from: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/datasets/data/iris.csv)
In Row 36, the 4th feature is recorded as 0.2 instead of 0.1.
In Row 39, the 2nd feature is n... | 27,708 |
https://github.com/scikit-learn/scikit-learn/issues/27703 | [
"New Feature",
"Needs Triage"
] | Add clustering score?
### Describe the workflow you want to enable
I want to reproduce a paper that uses clustering score to measure the goodness of clustering.
I think they should be using adjusted rand index, but they use cluster accuracy.
### Describe your proposed solution
Something roughly like this:
... | 27,703 |
https://github.com/scikit-learn/scikit-learn/issues/27703 | [
"New Feature",
"Needs Triage"
] | Add clustering score?
### Describe the workflow you want to enable
I want to reproduce a paper that uses clustering score to measure the goodness of clustering.
I think they should be using adjusted rand index, but they use cluster accuracy.
### Describe your proposed solution
Something roughly like this:
... | 27,703 |
https://github.com/scikit-learn/scikit-learn/issues/27703 | [
"New Feature",
"Needs Triage"
] | Add clustering score?
### Describe the workflow you want to enable
I want to reproduce a paper that uses clustering score to measure the goodness of clustering.
I think they should be using adjusted rand index, but they use cluster accuracy.
### Describe your proposed solution
Something roughly like this:
... | 27,703 |
https://github.com/scikit-learn/scikit-learn/issues/27696 | [
"Documentation"
] | DecisionTreeClassifier does not support 'auto' as an option for max_features
### Describe the bug
I was using scikit-learn version 1.3.2, trying to fit a DecisionTreeClassifier to my data, and I got an error that the option 'auto' was invalid.
The [documentation](https://scikit-learn.org/1.3/modules/generated/skle... | 27,696 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27695 | [
"Bug"
] | pipeline using FunctionTransformer with feature_names_out=... fails when applied to dataframe argument
### Describe the bug
(based on this stackoverflow question: https://stackoverflow.com/questions/77379286/sklearn-pipeline-get-feature-names-out-fails-unless-dataframe-has-matching-ren/77396145#77396145)
I have ... | 27,695 |
https://github.com/scikit-learn/scikit-learn/issues/27690 | [
"Bug",
"Needs Triage"
] | scikit learn project runnable on pycharm but not on vscode?
### Describe the bug
Hello,
I recently created a python project using scikit learn on PyCharm. First, I followed the sample code on official website
`from sklearn import linear_model` and moved on to rest of the code.
Then I tried to run it on vscode,... | 27,690 |
https://github.com/scikit-learn/scikit-learn/issues/27690 | [
"Bug",
"Needs Triage"
] | scikit learn project runnable on pycharm but not on vscode?
### Describe the bug
Hello,
I recently created a python project using scikit learn on PyCharm. First, I followed the sample code on official website
`from sklearn import linear_model` and moved on to rest of the code.
Then I tried to run it on vscode,... | 27,690 |
https://github.com/scikit-learn/scikit-learn/issues/27690 | [
"Bug",
"Needs Triage"
] | scikit learn project runnable on pycharm but not on vscode?
### Describe the bug
Hello,
I recently created a python project using scikit learn on PyCharm. First, I followed the sample code on official website
`from sklearn import linear_model` and moved on to rest of the code.
Then I tried to run it on vscode,... | 27,690 |
https://github.com/scikit-learn/scikit-learn/issues/27690 | [
"Bug",
"Needs Triage"
] | scikit learn project runnable on pycharm but not on vscode?
### Describe the bug
Hello,
I recently created a python project using scikit learn on PyCharm. First, I followed the sample code on official website
`from sklearn import linear_model` and moved on to rest of the code.
Then I tried to run it on vscode,... | 27,690 |
https://github.com/scikit-learn/scikit-learn/issues/27690 | [
"Bug",
"Needs Triage"
] | scikit learn project runnable on pycharm but not on vscode?
### Describe the bug
Hello,
I recently created a python project using scikit learn on PyCharm. First, I followed the sample code on official website
`from sklearn import linear_model` and moved on to rest of the code.
Then I tried to run it on vscode,... | 27,690 |
https://github.com/scikit-learn/scikit-learn/issues/27683 | [
"Bug",
"Documentation"
] | Typo at documentation of RandomForestRegressor
Hello,
is there a typo at the doc. description of the RandomForestRegressor? It states that the fitting of the data is done using "classifying decision trees" where it should be saying *regressor* decision trees.
see:
https://github.com/scikit-learn/scikit-learn/bl... | 27,683 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27682 | [
"good first issue",
"cython"
] | MAINT Directly `cimport` interfaces from `std::algorithm`
Some Cython implementations use interfaces from the standard library of C++, namely `std::algorithm::move` and `std::algorithm::fill` from [`std::algorithm`](https://en.cppreference.com/w/cpp/algorithm/).
Before Cython 3, those interfaces had to be imported ... | 27,682 |
https://github.com/scikit-learn/scikit-learn/issues/27679 | [
"Needs Triage"
] | NSE Equation used for R2
https://github.com/scikit-learn/scikit-learn/blame/093e0cf14aff026cca6097e8c42f83b735d26358/sklearn/metrics/_regression.py#L830-L838
The equation used for the R2 score is rather that of the [Nash–Sutcliffe model efficiency coefficient (NSE)](https://en.wikipedia.org/wiki/Nash%E2%80%93Sutcli... | 27,679 |
https://github.com/scikit-learn/scikit-learn/issues/27679 | [
"Needs Triage"
] | NSE Equation used for R2
https://github.com/scikit-learn/scikit-learn/blame/093e0cf14aff026cca6097e8c42f83b735d26358/sklearn/metrics/_regression.py#L830-L838
The equation used for the R2 score is rather that of the [Nash–Sutcliffe model efficiency coefficient (NSE)](https://en.wikipedia.org/wiki/Nash%E2%80%93Sutcli... | 27,679 |
https://github.com/scikit-learn/scikit-learn/issues/27676 | [
"Meta-issue"
] | Callback API plan
The goal of this issue is to track the steps of the implementation of a callback API in scikit-learn.
This is being developed in the `callbacks` feature branch. The first PR to this branch is https://github.com/scikit-learn/scikit-learn/pull/27663 which implements the base infrastructure for the c... | 27,676 |
https://github.com/scikit-learn/scikit-learn/issues/27676 | [
"Meta-issue"
] | Callback API plan
The goal of this issue is to track the steps of the implementation of a callback API in scikit-learn.
This is being developed in the `callbacks` feature branch. The first PR to this branch is https://github.com/scikit-learn/scikit-learn/pull/27663 which implements the base infrastructure for the c... | 27,676 |
https://github.com/scikit-learn/scikit-learn/issues/27676 | [
"Meta-issue"
] | Callback API plan
The goal of this issue is to track the steps of the implementation of a callback API in scikit-learn.
This is being developed in the `callbacks` feature branch. The first PR to this branch is https://github.com/scikit-learn/scikit-learn/pull/27663 which implements the base infrastructure for the c... | 27,676 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27662 | [
"Build / CI"
] | PyPy tests timeouts / memory usage investigation
EDIT: one of the main causes of the problem described below has already been fixed by #27670. However, despite this improvement, there are still important memory problems remaining when running the scikit-learn test suite on PyPy. So similar investigation and fixes are... | 27,662 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27655 | [
"Enhancement"
] | `sklearn.cluster.AgglomerativeClustering`: allow `'ward'` linkage and `'precomputed'` metric.
Hi,
I'm trying to run `AgglomerativeClustering` with precomputed (Euclidean) distance matrices. However, I can't get it to work with `linkage='ward'` and `metric='precomputed'` due to this `ValueError`:
https://github.c... | 27,655 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27654 | [
"API"
] | inverse_transform Xt argument consistency
### Describe the issue linked to the documentation
Some of the inverse_transform methods take `Xt` as an argument whereas others take `X`. Is there are reason for the differences in the names?
Noting the cases here: https://github.com/search?q=repo%3Ascikit-learn%2Fscikit-... | 27,654 |
https://github.com/scikit-learn/scikit-learn/issues/27653 | [
"Bug",
"Needs Triage"
] | scikit-learn-1.3.2.tar.gz archive contains version 1.4.dev0
### Describe the bug
The package downloaded from [https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz](https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz)
contains version 1.4.dev0:
The... | 27,653 |
https://github.com/scikit-learn/scikit-learn/issues/27653 | [
"Bug",
"Needs Triage"
] | scikit-learn-1.3.2.tar.gz archive contains version 1.4.dev0
### Describe the bug
The package downloaded from [https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz](https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz)
contains version 1.4.dev0:
The... | 27,653 |
https://github.com/scikit-learn/scikit-learn/issues/27653 | [
"Bug",
"Needs Triage"
] | scikit-learn-1.3.2.tar.gz archive contains version 1.4.dev0
### Describe the bug
The package downloaded from [https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz](https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz)
contains version 1.4.dev0:
The... | 27,653 |
https://github.com/scikit-learn/scikit-learn/issues/27653 | [
"Bug",
"Needs Triage"
] | scikit-learn-1.3.2.tar.gz archive contains version 1.4.dev0
### Describe the bug
The package downloaded from [https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz](https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz)
contains version 1.4.dev0:
The... | 27,653 |
https://github.com/scikit-learn/scikit-learn/issues/27653 | [
"Bug",
"Needs Triage"
] | scikit-learn-1.3.2.tar.gz archive contains version 1.4.dev0
### Describe the bug
The package downloaded from [https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz](https://github.com/scikit-learn/scikit-learn/archive/1.3.2/scikit-learn-1.3.2.tar.gz)
contains version 1.4.dev0:
The... | 27,653 |
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