html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k | embedding listlengths 768 768 |
|---|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/25844 | [
"Bug",
"good first issue"
] | X does not have valid feature names, but IsolationForest was fitted with feature names
### Describe the bug
If you fit an `IsolationForest` using a `pd.DataFrame` it generates a warning
``` python
X does not have valid feature names, but IsolationForest was fitted with feature names
```
This only seems to o... | 25,844 | [
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0.060698214918375015,
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0.0713244304060936,
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0.057546455413103104,
0.028425002470612526,
0.03117707185447216,
-0.011835243552923203,
0.023097118362784386,
0.056... |
https://github.com/scikit-learn/scikit-learn/issues/25844 | [
"Bug",
"good first issue"
] | X does not have valid feature names, but IsolationForest was fitted with feature names
### Describe the bug
If you fit an `IsolationForest` using a `pd.DataFrame` it generates a warning
``` python
X does not have valid feature names, but IsolationForest was fitted with feature names
```
This only seems to o... | 25,844 | [
0.04302222654223442,
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0.03038197010755539,
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0.028425002470612526,
0.03117707185447216,
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0.023097118362784386,
0.056... |
https://github.com/scikit-learn/scikit-learn/issues/25844 | [
"Bug",
"good first issue"
] | X does not have valid feature names, but IsolationForest was fitted with feature names
### Describe the bug
If you fit an `IsolationForest` using a `pd.DataFrame` it generates a warning
``` python
X does not have valid feature names, but IsolationForest was fitted with feature names
```
This only seems to o... | 25,844 | [
0.04302222654223442,
-0.004146065097302198,
0.03038197010755539,
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0.028425002470612526,
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0.023097118362784386,
0.056... |
https://github.com/scikit-learn/scikit-learn/issues/25844 | [
"Bug",
"good first issue"
] | X does not have valid feature names, but IsolationForest was fitted with feature names
### Describe the bug
If you fit an `IsolationForest` using a `pd.DataFrame` it generates a warning
``` python
X does not have valid feature names, but IsolationForest was fitted with feature names
```
This only seems to o... | 25,844 | [
0.04302222654223442,
-0.004146065097302198,
0.03038197010755539,
-0.011840900406241417,
0.060698214918375015,
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0.028425002470612526,
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-0.011835243552923203,
0.023097118362784386,
0.056... |
https://github.com/scikit-learn/scikit-learn/issues/25838 | [
"module:test-suite"
] | TST sklearn/linear_model/tests/test_quantile.py::test_sparse_input fails on local windows
The test ``test_sparse_input`` from ``sklearn/linear_model/tests/test_quantile.py`` fails when I run the test suite locally (Windows).
It fails for the ``fit_intercept=True`` parametrization but passes for ``fit_intercept=Fals... | 25,838 | [
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-0.019263476133346558,
0.025227615609765053,
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0.04... |
https://github.com/scikit-learn/scikit-learn/issues/25838 | [
"module:test-suite"
] | TST sklearn/linear_model/tests/test_quantile.py::test_sparse_input fails on local windows
The test ``test_sparse_input`` from ``sklearn/linear_model/tests/test_quantile.py`` fails when I run the test suite locally (Windows).
It fails for the ``fit_intercept=True`` parametrization but passes for ``fit_intercept=Fals... | 25,838 | [
-0.05189511179924011,
-0.019263476133346558,
0.025227615609765053,
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0.10465172678232193,
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0.007234842516481876,
0.02482653222978115,
0.043151162564754486,
-0.019589215517044067,
0.04... |
https://github.com/scikit-learn/scikit-learn/issues/25838 | [
"module:test-suite"
] | TST sklearn/linear_model/tests/test_quantile.py::test_sparse_input fails on local windows
The test ``test_sparse_input`` from ``sklearn/linear_model/tests/test_quantile.py`` fails when I run the test suite locally (Windows).
It fails for the ``fit_intercept=True`` parametrization but passes for ``fit_intercept=Fals... | 25,838 | [
-0.05189511179924011,
-0.019263476133346558,
0.025227615609765053,
-0.014868238009512424,
0.10465172678232193,
-0.029223933815956116,
0.045085616409778595,
0.07821720093488693,
0.07147618383169174,
0.007234842516481876,
0.02482653222978115,
0.043151162564754486,
-0.019589215517044067,
0.04... |
https://github.com/scikit-learn/scikit-learn/issues/25838 | [
"module:test-suite"
] | TST sklearn/linear_model/tests/test_quantile.py::test_sparse_input fails on local windows
The test ``test_sparse_input`` from ``sklearn/linear_model/tests/test_quantile.py`` fails when I run the test suite locally (Windows).
It fails for the ``fit_intercept=True`` parametrization but passes for ``fit_intercept=Fals... | 25,838 | [
-0.05189511179924011,
-0.019263476133346558,
0.025227615609765053,
-0.014868238009512424,
0.10465172678232193,
-0.029223933815956116,
0.045085616409778595,
0.07821720093488693,
0.07147618383169174,
0.007234842516481876,
0.02482653222978115,
0.043151162564754486,
-0.019589215517044067,
0.04... |
https://github.com/scikit-learn/scikit-learn/issues/25825 | [
"Bug",
"Needs Triage"
] | GridSearchCV instant model convergence upon using many parameters
### Describe the bug
I am using `sklearn.model_selection.GridSearchCV` combined with a tensorflow/keras model wrapped using `scikeras.wrappers.KerasClassifier`. The image dataset used for classification can be downloaded [here](https://www.kaggle.com... | 25,825 | [
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0.03558634594082832,
0.03358461707830429,
0.026180695742368698,
0.10083170235157013,
-0.010353767313063145,
-0.02961706556379795,
0.021756215021014214,
0.03359237685799599,
0.026232032105326653,
-0.007402623537927866,
0.0462673045694828,
0.0006746803410351276,
0.0091... |
https://github.com/scikit-learn/scikit-learn/issues/25824 | [
"New Feature",
"Needs Decision",
"module:cluster"
] | FastOPTICS in `sklearn.cluster`
### Describe the workflow you want to enable
Is there a roadmap to add the FastOPTICS algorithm, [1], to the `sklearn.cluster` code base that already supports OPTICS?
[1] 2013, J. Schneider, M. Vlachos, _Fast Parameterless Density-based Clustering via Random Projections
### Descri... | 25,824 | [
-0.0285793524235487,
0.021697023883461952,
0.013925679959356785,
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0.034310296177864075,
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0.01763343997299671,
0.024604052305221558,
0.010236186906695366,
0.06024385616183281,
0.02366405352950096,
0.06... |
https://github.com/scikit-learn/scikit-learn/issues/25824 | [
"New Feature",
"Needs Decision",
"module:cluster"
] | FastOPTICS in `sklearn.cluster`
### Describe the workflow you want to enable
Is there a roadmap to add the FastOPTICS algorithm, [1], to the `sklearn.cluster` code base that already supports OPTICS?
[1] 2013, J. Schneider, M. Vlachos, _Fast Parameterless Density-based Clustering via Random Projections
### Descri... | 25,824 | [
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0.02342647686600685,
0.0006627228576689959,
-0.013564813882112503,
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0.048283834010362625,
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0.02968357317149639,
0.021189671009778976,
0.06876190751791,
0.036598965525627136,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25824 | [
"New Feature",
"Needs Decision",
"module:cluster"
] | FastOPTICS in `sklearn.cluster`
### Describe the workflow you want to enable
Is there a roadmap to add the FastOPTICS algorithm, [1], to the `sklearn.cluster` code base that already supports OPTICS?
[1] 2013, J. Schneider, M. Vlachos, _Fast Parameterless Density-based Clustering via Random Projections
### Descri... | 25,824 | [
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0.007249520625919104,
-0.0036147970240563154,
-0.01429233979433775,
0.007100926712155342,
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0.04107530415058136,
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0.014828499406576157,
0.026066774502396584,
0.012896210886538029,
0.06981277465820312,
0.02061520330607891,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25824 | [
"New Feature",
"Needs Decision",
"module:cluster"
] | FastOPTICS in `sklearn.cluster`
### Describe the workflow you want to enable
Is there a roadmap to add the FastOPTICS algorithm, [1], to the `sklearn.cluster` code base that already supports OPTICS?
[1] 2013, J. Schneider, M. Vlachos, _Fast Parameterless Density-based Clustering via Random Projections
### Descri... | 25,824 | [
-0.022799750789999962,
0.014170694164931774,
0.0119183249771595,
-0.017394455149769783,
0.0007791848038323224,
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0.04139583557844162,
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0.026481475681066513,
0.02637447416782379,
0.010104460641741753,
0.06815642863512039,
0.02528524398803711,
0.054709... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
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0.0004646480083465576,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
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0.0004646480083465576,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
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0.0004646480083465576,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
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-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
-0.008727881126105785,
-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
-0.008727881126105785,
-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
-0.008727881126105785,
-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
-0.008727881126105785,
-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25822 | [
"Performance"
] | PERF: models with multithreading being slower than the same model with a single thread
While working on `skops`'s persistence, I realized sometimes it's faster for me to set `OMP_NUM_THREADS=1`.
I tried to isolate the issue. The differences here aren't large, and couldn't reproduce a massive difference, but in term... | 25,822 | [
-0.019962960854172707,
0.015632538124918938,
0.00856276135891676,
0.03114785999059677,
-0.0012569171376526356,
0.0026475240010768175,
-0.0035240566357970238,
0.0004646480083465576,
-0.008727881126105785,
-0.01387955155223608,
0.009469556622207165,
0.016909245401620865,
-0.025992846116423607,... |
https://github.com/scikit-learn/scikit-learn/issues/25799 | [
"Needs Info"
] | Incorrect results in kernel density estimation (```KernelDensity```) when the kernel width is small
### Describe the bug
I have met an issue when using the class ```sklearn.neighbors.KernelDensity```. The **kernel density estimation (KDE)** works unusually when the kernel width is very small (less than 0.01),e.g., ... | 25,799 | [
-0.018948344513773918,
-0.026597075164318085,
0.0269425380975008,
0.05041889473795891,
0.03919414058327675,
-0.0701427012681961,
-0.010058005340397358,
0.030625689774751663,
-0.05026900768280029,
0.01490935031324625,
-0.002109228866174817,
0.02301611192524433,
0.014327655546367168,
0.01848... |
https://github.com/scikit-learn/scikit-learn/issues/25799 | [
"Needs Info"
] | Incorrect results in kernel density estimation (```KernelDensity```) when the kernel width is small
### Describe the bug
I have met an issue when using the class ```sklearn.neighbors.KernelDensity```. The **kernel density estimation (KDE)** works unusually when the kernel width is very small (less than 0.01),e.g., ... | 25,799 | [
-0.018948344513773918,
-0.026597075164318085,
0.0269425380975008,
0.05041889473795891,
0.03919414058327675,
-0.0701427012681961,
-0.010058005340397358,
0.030625689774751663,
-0.05026900768280029,
0.01490935031324625,
-0.002109228866174817,
0.02301611192524433,
0.014327655546367168,
0.01848... |
https://github.com/scikit-learn/scikit-learn/issues/25799 | [
"Needs Info"
] | Incorrect results in kernel density estimation (```KernelDensity```) when the kernel width is small
### Describe the bug
I have met an issue when using the class ```sklearn.neighbors.KernelDensity```. The **kernel density estimation (KDE)** works unusually when the kernel width is very small (less than 0.01),e.g., ... | 25,799 | [
-0.018948344513773918,
-0.026597075164318085,
0.0269425380975008,
0.05041889473795891,
0.03919414058327675,
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https://github.com/scikit-learn/scikit-learn/issues/25798 | [
"Bug",
"module:utils"
] | `check_array` can call `array.astype(None)`, raising ValueError if pandas extension types are present in a pd.DataFrame `array`
### Describe the bug
At [check_array](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/utils/validation.py#L777), `dtype_orig` is determined for `array` objects that are pandas... | 25,798 | [
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https://github.com/scikit-learn/scikit-learn/issues/25798 | [
"Bug",
"module:utils"
] | `check_array` can call `array.astype(None)`, raising ValueError if pandas extension types are present in a pd.DataFrame `array`
### Describe the bug
At [check_array](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/utils/validation.py#L777), `dtype_orig` is determined for `array` objects that are pandas... | 25,798 | [
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https://github.com/scikit-learn/scikit-learn/issues/25787 | [
"New Feature",
"Needs Triage"
] | Criteria for fixing connectivity in agglomerative clustering
### Describe the workflow you want to enable
Hi,
Great work on maintaining sklearn!
The current [fix_connectivity](https://github.com/scikit-learn/scikit-learn/blob/2119490c10675839e546abfedba75d30bfbdc8ad/sklearn/cluster/hierarchical.py#L31) functi... | 25,787 | [
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https://github.com/scikit-learn/scikit-learn/issues/25787 | [
"New Feature",
"Needs Triage"
] | Criteria for fixing connectivity in agglomerative clustering
### Describe the workflow you want to enable
Hi,
Great work on maintaining sklearn!
The current [fix_connectivity](https://github.com/scikit-learn/scikit-learn/blob/2119490c10675839e546abfedba75d30bfbdc8ad/sklearn/cluster/hierarchical.py#L31) functi... | 25,787 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
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] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
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] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.04712757468223572,
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.04712757468223572,
0.08213844150304794,
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0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.04712757468223572,
0.08213844150304794,
-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
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0.04712757468223572,
0.08213844150304794,
-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
-0.007374463602900505,
0.12295600771903992,
0.035223338752985,
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0.0071281855925917625,
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0.04712757468223572,
0.08213844150304794,
-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
-0.007374463602900505,
0.12295600771903992,
0.035223338752985,
-0.04585089534521103,
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0.0071281855925917625,
0.010964984074234962,
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-0.03054460883140564,
0.04712757468223572,
0.08213844150304794,
-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25776 | [
"RFC",
"Breaking Change"
] | RFC: Breaking Changes for Version 2
A while ago we talked about the possibility of a version 2 with breaking changes. Specifically, this came up in the context of SLEP006: metadata routing, but there are other things we have wanted to break which we can do all in a single release. In this issue we can talk about the p... | 25,776 | [
-0.007374463602900505,
0.12295600771903992,
0.035223338752985,
-0.04585089534521103,
-0.001215695054270327,
-0.05706031993031502,
0.0071281855925917625,
0.010964984074234962,
-0.030208509415388107,
-0.03054460883140564,
0.04712757468223572,
0.08213844150304794,
-0.007455453276634216,
0.031... |
https://github.com/scikit-learn/scikit-learn/issues/25773 | [
"Documentation",
"module:metrics"
] | DOC: roc_auc_score wrong description of `average` parameter with `None` value
### Describe the issue linked to the documentation
Documentation of `sklearn.metrics.roc_auc_score` for `average` parameter ([lines 442-443](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_ranking.py#L442-L443) of ht... | 25,773 | [
0.002084613312035799,
0.009926682338118553,
0.01225286815315485,
0.014370584860444069,
0.06221803277730942,
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0.028368866071105003,
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-0.045332420617341995,
0.030363507568836212,
-0.0178623478859663,
0.040862131863832474,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.015450014732778072,
0.027201702818274498,
-0.009345141239464283,
-0.026471249759197235,
-0.046842582523822784,
0.014934205450117588,
0.04014117270708084,
0.009887498803436756,
0.005306497681885958,
0.004861179739236832,
0.07386208325624466,
0.04795438423752785,
0.006203903816640377,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.05790872871875763,
-0.035589125007390976,
0.030195189639925957,
-0.06174258142709732,
-0.0713091716170311,
0.038597140461206436,
0.003154264995828271,
0.02702862024307251,
-0.021298054605722427,
0.003980071749538183,
-0.010221296921372414,
0.0032627959735691547,
0.028661083430051804,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.06995589286088943,
-0.001274608657695353,
0.017286645248532295,
-0.02367047406733036,
-0.05359237268567085,
0.036750923842191696,
0.03520684689283371,
0.03543701767921448,
-0.02251940406858921,
0.009567243047058582,
0.006248497869819403,
0.02137305960059166,
0.026799218729138374,
0.0714... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.05257184058427811,
0.0414087139070034,
0.016361678019165993,
-0.04324377700686455,
-0.04800906032323837,
0.018579231575131416,
0.06002790108323097,
0.033412765711545944,
-0.0348607562482357,
0.012406019493937492,
0.04933466389775276,
0.029389746487140656,
0.029436156153678894,
0.1062774... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.02625866048038006,
0.06289910525083542,
0.009731662459671497,
-0.03383626416325569,
-0.024930885061621666,
0.0037170634604990482,
0.05312567204236984,
0.03583711385726929,
-0.025347206741571426,
0.0197875015437603,
-0.007980028167366982,
0.024114957079291344,
0.03202470391988754,
-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/25771 | [
"New Feature"
] | maximal information coefficient for feature selection
### Describe the workflow you want to enable
maximal information coeffcient
### Describe your proposed solution
maximal information coeffcient
### Describe alternatives you've considered, if relevant
_No response_
### Additional context
_No response_
COMMEN... | 25,771 | [
-0.021434910595417023,
0.023177267983555794,
0.03822037950158119,
-0.04276778921484947,
-0.028120649978518486,
0.015357336029410362,
0.00023016115301288664,
0.037146348506212234,
0.0032576711382716894,
-0.022445695474743843,
-0.034903060644865036,
0.05971771478652954,
0.007841848768293858,
... |
https://github.com/scikit-learn/scikit-learn/issues/25767 | [
"New Feature",
"API",
"module:gaussian_process"
] | Change default behavior of `GaussianProcessRegressor.sample_y`'s `random_state` variable.
### Describe the workflow you want to enable
I think it is misleading to have the `sample_y` method to default to reproduce the same sample every time it is called.
The default value for `random_state` should be `None`, and the... | 25,767 | [
-0.01363182533532381,
0.03626623377203941,
0.04246458783745766,
-0.00907985121011734,
-0.004831713158637285,
-0.008090713992714882,
0.023124005645513535,
-0.008257475681602955,
0.004624344874173403,
0.02057640813291073,
0.053555186837911606,
0.033711373805999756,
-0.0015594124561175704,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25767 | [
"New Feature",
"API",
"module:gaussian_process"
] | Change default behavior of `GaussianProcessRegressor.sample_y`'s `random_state` variable.
### Describe the workflow you want to enable
I think it is misleading to have the `sample_y` method to default to reproduce the same sample every time it is called.
The default value for `random_state` should be `None`, and the... | 25,767 | [
-0.035419877618551254,
0.04696095362305641,
0.02488558366894722,
0.00283153192140162,
-0.011946029961109161,
-0.02604629471898079,
0.023709120228886604,
-0.010196405462920666,
-0.011815390549600124,
0.03193379566073418,
0.028568997979164124,
0.030177704989910126,
-0.018199922516942024,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25766 | [
"Bug",
"Documentation",
"Needs Decision - Include Feature"
] | 1.2.1: cannot build documentation without installing module
### Describe the bug
Looks like something is wrong and I cannot build docuemtation without installing module.
### Steps/Code to Reproduce
N/A
### Expected Results
It should be possible to build documentation out of only what is in source tree a d witho... | 25,766 | [
0.05465724319219589,
-0.027487285435199738,
0.0007564910920336843,
-0.049343254417181015,
0.03235488384962082,
0.04164822772145271,
0.01810973510146141,
0.05150900036096573,
0.024746865034103394,
-0.022971628233790398,
0.05467872694134712,
0.07076898962259293,
0.027225660160183907,
-0.0337... |
https://github.com/scikit-learn/scikit-learn/issues/25763 | [
"Bug",
"Needs Triage"
] | BUG IsotonicRegression errors with set_config(transform_output="pandas")
### Describe the bug
`IsotonicRegression.predict` is broken by `set_config(transform_output="pandas")`. Mabye similar to #25365.
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.isotonic import IsotonicRegression
y = np... | 25,763 | [
0.002226120326668024,
0.07463783770799637,
0.03504103049635887,
-0.03713885694742203,
0.025673799216747284,
0.004238995257765055,
0.09192267060279846,
0.03470395505428314,
0.015163043513894081,
-0.00755847105756402,
-0.008316506631672382,
0.028990300372242928,
-0.002041354775428772,
0.0201... |
https://github.com/scikit-learn/scikit-learn/issues/25763 | [
"Bug",
"Needs Triage"
] | BUG IsotonicRegression errors with set_config(transform_output="pandas")
### Describe the bug
`IsotonicRegression.predict` is broken by `set_config(transform_output="pandas")`. Mabye similar to #25365.
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.isotonic import IsotonicRegression
y = np... | 25,763 | [
0.003487176960334182,
0.07266519218683243,
0.02206243947148323,
-0.0386774055659771,
0.02610788494348526,
0.001874761190265417,
0.07912227511405945,
0.03859772905707359,
0.005607828497886658,
-0.009459538385272026,
-0.0103543009608984,
0.02795473113656044,
-0.0022885610815137625,
0.0197462... |
https://github.com/scikit-learn/scikit-learn/issues/25763 | [
"Bug",
"Needs Triage"
] | BUG IsotonicRegression errors with set_config(transform_output="pandas")
### Describe the bug
`IsotonicRegression.predict` is broken by `set_config(transform_output="pandas")`. Mabye similar to #25365.
### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.isotonic import IsotonicRegression
y = np... | 25,763 | [
0.0024415277875959873,
0.07020935416221619,
0.021828120574355125,
-0.03682835027575493,
0.02531665563583374,
0.007762679364532232,
0.08118314296007156,
0.04119575023651123,
0.004764772020280361,
-0.010018867440521717,
-0.009064234793186188,
0.018858162686228752,
-0.006552928127348423,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/25762 | [
"Documentation",
"Needs Triage"
] | BayesSearchCV default cv is wrong?
### Describe the issue linked to the documentation
Hi,
Is there a bug in the Docs for BayesSearchCV where it says that the default value for cv is 3 but I see it using 5 as the default when I run it with no explicit value for cv?
https://scikit-optimize.github.io/dev/modules/g... | 25,762 | [
0.008710316382348537,
-0.13564367592334747,
0.03193017095327377,
-0.020579323172569275,
0.009359769523143768,
-0.015618407167494297,
0.06064491346478462,
-0.016928264871239662,
0.020816372707486153,
-0.03468598052859306,
0.07076039910316467,
0.03771394491195679,
0.029466919600963593,
-0.01... |
https://github.com/scikit-learn/scikit-learn/issues/25758 | [
"Needs Triage"
] | Hello All,
Hello All,
I am struggling to run on Windows 11 a package MicroLIA which is dependent on skikit-learn. Its not clear to me if the problem is on my side or other.
I unstalled and re-installed via the following
conda uninstall scikit-learn
conda install -c conda-forge scikit-learn
I get the follo... | 25,758 | [
0.03994566947221756,
-0.026321448385715485,
0.003557448508217931,
0.015109547413885593,
0.054129403084516525,
0.0645756945014,
0.04781011492013931,
0.0018932431703433394,
0.01344719436019659,
0.0008733249851502478,
0.03558563441038132,
0.05103449523448944,
0.012751099653542042,
0.067700326... |
https://github.com/scikit-learn/scikit-learn/issues/25758 | [
"Needs Triage"
] | Hello All,
Hello All,
I am struggling to run on Windows 11 a package MicroLIA which is dependent on skikit-learn. Its not clear to me if the problem is on my side or other.
I unstalled and re-installed via the following
conda uninstall scikit-learn
conda install -c conda-forge scikit-learn
I get the follo... | 25,758 | [
0.03994566947221756,
-0.026321448385715485,
0.003557448508217931,
0.015109547413885593,
0.054129403084516525,
0.0645756945014,
0.04781011492013931,
0.0018932431703433394,
0.01344719436019659,
0.0008733249851502478,
0.03558563441038132,
0.05103449523448944,
0.012751099653542042,
0.067700326... |
https://github.com/scikit-learn/scikit-learn/issues/25757 | [
"New Feature"
] | Allow `norm=None` in `preprocessing.Normalizer`
### Describe the workflow you want to enable
I would like to be able to set `norm=None` in `preprocessing.Normalizer`, so that I can eaily tune `norm` as part of a pipeline. Currently, `norm` can only be one of `{‘l1’, ‘l2’, ‘max’}`.
### Describe your proposed solutio... | 25,757 | [
-0.0076059321872889996,
0.049323853105306625,
0.0006005861796438694,
-0.008117953315377235,
0.028214097023010254,
0.004713906906545162,
0.03201037645339966,
0.013759816996753216,
-0.047655392438173294,
-0.03575200214982033,
0.01651972159743309,
0.007004083134233952,
-0.013775501400232315,
... |
https://github.com/scikit-learn/scikit-learn/issues/25757 | [
"New Feature"
] | Allow `norm=None` in `preprocessing.Normalizer`
### Describe the workflow you want to enable
I would like to be able to set `norm=None` in `preprocessing.Normalizer`, so that I can eaily tune `norm` as part of a pipeline. Currently, `norm` can only be one of `{‘l1’, ‘l2’, ‘max’}`.
### Describe your proposed solutio... | 25,757 | [
-0.010343859903514385,
0.05167562887072563,
-0.0012023571180179715,
-0.004668017849326134,
0.024908196181058884,
0.004377185367047787,
0.03133038431406021,
0.01420658454298973,
-0.04702521860599518,
-0.03627829998731613,
0.01633019559085369,
0.00782558973878622,
-0.014990726485848427,
0.05... |
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