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/29199 | [
"Documentation"
] | Inconsistency regarding Poisson regression in decision tree user guide doc
### Inconsistency about criterion in Decision Tree Regressor
Hi! I was revising scitkit-learn User guide about Decision Tree regressors and I found an inconsistency. In 1.10.7.2. Regression criteria it is mentioned **Poisson Deviance**. How... | 29,199 | [
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https://github.com/scikit-learn/scikit-learn/issues/29195 | [
"Documentation",
"Needs Triage"
] | Mistake on "Choosing the right estimator" in latest documentation
### Describe the issue linked to the documentation
On the latest stable version (1.5.0) of the documentation, on the [Choosing the right estimator](https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html#choosing-the-right-estimator) s... | 29,195 | [
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https://github.com/scikit-learn/scikit-learn/issues/29192 | [
"Needs Triage"
] | test_covariance FAILED
I build 1.3.0 and 1.3.1 and get this error:
```
sklearn/covariance/tests/test_covariance.py::test_covariance FAILED [ 9%]
=================================================== FAILURES ===================================================
_________________... | 29,192 | [
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0.01931... |
https://github.com/scikit-learn/scikit-learn/issues/29189 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil (last failure: Jun 10, 2024) ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67402&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jun 10, 2024)
Unable to find junit file. Please see ... | 29,189 | [
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https://github.com/scikit-learn/scikit-learn/issues/29189 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil (last failure: Jun 10, 2024) ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67402&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jun 10, 2024)
Unable to find junit file. Please see ... | 29,189 | [
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https://github.com/scikit-learn/scikit-learn/issues/29189 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil (last failure: Jun 10, 2024) ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67402&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jun 10, 2024)
Unable to find junit file. Please see ... | 29,189 | [
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https://github.com/scikit-learn/scikit-learn/issues/29189 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil (last failure: Jun 10, 2024) ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67402&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jun 10, 2024)
Unable to find junit file. Please see ... | 29,189 | [
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https://github.com/scikit-learn/scikit-learn/issues/29182 | [
"Bug"
] | Validation step fails when trying to set WRITEABLE flag to True
### Describe the bug
Original issue: https://github.com/kedro-org/kedro/issues/3674
Relates to https://github.com/scikit-learn/scikit-learn/issues/28824, https://github.com/scikit-learn/scikit-learn/pull/29103, https://github.com/scikit-learn/scikit... | 29,182 | [
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... |
https://github.com/scikit-learn/scikit-learn/issues/29182 | [
"Bug"
] | Validation step fails when trying to set WRITEABLE flag to True
### Describe the bug
Original issue: https://github.com/kedro-org/kedro/issues/3674
Relates to https://github.com/scikit-learn/scikit-learn/issues/28824, https://github.com/scikit-learn/scikit-learn/pull/29103, https://github.com/scikit-learn/scikit... | 29,182 | [
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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0... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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0.09075821191072464,
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0.04878... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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0.10665348172187805,
0.018352266401052475,
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0.06... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
0.0105486074462533,
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https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
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0.09303808212280273,
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0... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
0.008964241482317448,
0.09455157816410065,
0.01633395627140999,
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
0.014565457589924335,
0.09077737480401993,
0.0174696147441864,
0.0017877921927720308,
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/29169 | [
"API",
"RFC"
] | RFC make response / inverse link / activation function official
With questions like #29163 and with the private loss functions #15123 (almost everywhere) in place, I would like to discuss to make the inverse link function public.
Models like LogisticRegression or HistGradientBoostingRegressor(loss="poisson") have p... | 29,169 | [
0.012246895581483841,
0.09085530042648315,
0.01499185897409916,
0.005031770560890436,
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0.0061291963793337345,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29168 | [
"Bug",
"Needs Triage"
] | Unable to use TunedThresholdClassifierCV' in kaggle
### Describe the bug
Unable to use TunedThresholdClassifierCV' in Kaggle
### Steps/Code to Reproduce
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report
from skl... | 29,168 | [
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0.0276... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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https://github.com/scikit-learn/scikit-learn/issues/29167 | [
"Documentation",
"Moderate"
] | DOC Beginners Tutorial
We need to have a section in our user guide introducing new users to a few concepts similar to what was present in our basics tutorial: https://github.com/scikit-learn/scikit-learn/blob/bc7e52ad7379fd8138418619a1cb0aeef07896a9/doc/tutorial/basic/tutorial.rst
This can go into our "Getting Star... | 29,167 | [
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0.0176647... |
https://github.com/scikit-learn/scikit-learn/issues/29163 | [
"Documentation"
] | Explain how predict_proba is computed from (Hist)GradientBoostingClassifier
### Describe the issue linked to the documentation
I think users would find it useful to see how class probabilities are computed for gradient boosting classifiers 😊 Tried to look into the source but could not understand it. Would be up to... | 29,163 | [
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0.059396594762802124,
... |
https://github.com/scikit-learn/scikit-learn/issues/29163 | [
"Documentation"
] | Explain how predict_proba is computed from (Hist)GradientBoostingClassifier
### Describe the issue linked to the documentation
I think users would find it useful to see how class probabilities are computed for gradient boosting classifiers 😊 Tried to look into the source but could not understand it. Would be up to... | 29,163 | [
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0.03615618497133255,
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0.04687531292438507,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29163 | [
"Documentation"
] | Explain how predict_proba is computed from (Hist)GradientBoostingClassifier
### Describe the issue linked to the documentation
I think users would find it useful to see how class probabilities are computed for gradient boosting classifiers 😊 Tried to look into the source but could not understand it. Would be up to... | 29,163 | [
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0.05705912038683891,
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0.053786080330610275,
... |
https://github.com/scikit-learn/scikit-learn/issues/29163 | [
"Documentation"
] | Explain how predict_proba is computed from (Hist)GradientBoostingClassifier
### Describe the issue linked to the documentation
I think users would find it useful to see how class probabilities are computed for gradient boosting classifiers 😊 Tried to look into the source but could not understand it. Would be up to... | 29,163 | [
-0.010213601402938366,
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0.050223495811223984,
... |
https://github.com/scikit-learn/scikit-learn/issues/29163 | [
"Documentation"
] | Explain how predict_proba is computed from (Hist)GradientBoostingClassifier
### Describe the issue linked to the documentation
I think users would find it useful to see how class probabilities are computed for gradient boosting classifiers 😊 Tried to look into the source but could not understand it. Would be up to... | 29,163 | [
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0.013370233587920666,
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0.052272383123636246,
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0.05057881027460098,
... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29157 | [
"Bug",
"Regression",
"module:model_selection"
] | TypeError when fitting GridSearchCV or RandomizedSearchCV with OrdinalEncoder and OneHotEncoder in parameters grid
### Describe the bug
Having both `OrdinalEncoder` and `OneHotEncoder` inside the parameters grid to be used by the `GridSearchCV` or `RandomizedSearchCV` results in the following error: `TypeError: flo... | 29,157 | [
0.013205692172050476,
0.052038148045539856,
0.04706329479813576,
-0.049313079565763474,
0.12212594598531723,
-0.002052869414910674,
0.01594730094075203,
0.03327383100986481,
-0.029278161004185677,
-0.013968205079436302,
0.037640102207660675,
0.012983517721295357,
0.03549819067120552,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29152 | [
"Documentation",
"Low Priority"
] | Slightly weird installation buttons maybe due to pydata-sphinx-theme 1.5.3?
### Describe the issue linked to the documentation
I recently browsed the dev website curious to see if I could spot differences after https://github.com/scikit-learn/scikit-learn/pull/29134 was merged.
Maybe it's just me, but I found th... | 29,152 | [
0.07179129868745804,
0.016896873712539673,
-0.01999582350254059,
0.02632911689579487,
0.015173008665442467,
0.020164774730801582,
0.030958259478211403,
0.0539664663374424,
-0.017305200919508934,
-0.023205110803246498,
-0.051695916801691055,
-0.005931308027356863,
0.027012551203370094,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29147 | [
"Bug",
"Needs Triage"
] | Facing issue while installing abcpy
### Describe the bug
While installing abcpy package it has dependency package for scikit-learn which is already installed. But while it is installing it is searching for deprecated package name which is 'sklearn'. Error is showing like this:
![image](https://github.com/scikit-le... | 29,147 | [
0.06523304432630539,
-0.023969387635588646,
-0.01656155101954937,
-0.01645299606025219,
0.010439494624733925,
0.0282856747508049,
0.01719643361866474,
0.028125984594225883,
0.01729447953402996,
0.016129687428474426,
0.012560040690004826,
0.053481124341487885,
0.021456783637404442,
0.052052... |
https://github.com/scikit-learn/scikit-learn/issues/29147 | [
"Bug",
"Needs Triage"
] | Facing issue while installing abcpy
### Describe the bug
While installing abcpy package it has dependency package for scikit-learn which is already installed. But while it is installing it is searching for deprecated package name which is 'sklearn'. Error is showing like this:
![image](https://github.com/scikit-le... | 29,147 | [
0.06523304432630539,
-0.023969387635588646,
-0.01656155101954937,
-0.01645299606025219,
0.010439494624733925,
0.0282856747508049,
0.01719643361866474,
0.028125984594225883,
0.01729447953402996,
0.016129687428474426,
0.012560040690004826,
0.053481124341487885,
0.021456783637404442,
0.052052... |
https://github.com/scikit-learn/scikit-learn/issues/29147 | [
"Bug",
"Needs Triage"
] | Facing issue while installing abcpy
### Describe the bug
While installing abcpy package it has dependency package for scikit-learn which is already installed. But while it is installing it is searching for deprecated package name which is 'sklearn'. Error is showing like this:
![image](https://github.com/scikit-le... | 29,147 | [
0.06523304432630539,
-0.023969387635588646,
-0.01656155101954937,
-0.01645299606025219,
0.010439494624733925,
0.0282856747508049,
0.01719643361866474,
0.028125984594225883,
0.01729447953402996,
0.016129687428474426,
0.012560040690004826,
0.053481124341487885,
0.021456783637404442,
0.052052... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29145 | [
"Bug",
"Needs Reproducible Code"
] | V1.5 randomly hangs on import
### Describe the bug
Since upgrading to version 1.5.0 we are seeing issues where the process stalls on import. Through a core dump, it appears to be locking up [here](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py#L154). We run hundreds of processes in paralle... | 29,145 | [
0.009084698744118214,
0.019312450662255287,
-0.004194038454443216,
-0.0011096099624410272,
0.04115097224712372,
0.0017275490099564195,
-0.013636856339871883,
0.016633834689855576,
0.007725984789431095,
-0.02001897804439068,
0.05118216574192047,
0.05545339733362198,
-0.0069294157437980175,
... |
https://github.com/scikit-learn/scikit-learn/issues/29137 | [
"Bug",
"Needs Triage"
] | GridSearchCV fails if search space contains parameters of a complex type
### Describe the bug
GridSearchCV fails at the last step in `_format_results()`, if the parameter is of a complex type, such as a dict with mixed key types of a string and a number.
In the code below, the code works for
```python
param_grid=d... | 29,137 | [
0.04128338769078255,
-0.00651250034570694,
0.04792391508817673,
-0.029681125655770302,
0.12037461996078491,
-0.02425854466855526,
-0.01867731474339962,
0.02451523207128048,
0.01832014136016369,
-0.030572516843676567,
0.031875599175691605,
0.0336531363427639,
-0.011512337252497673,
0.018950... |
https://github.com/scikit-learn/scikit-learn/issues/29137 | [
"Bug",
"Needs Triage"
] | GridSearchCV fails if search space contains parameters of a complex type
### Describe the bug
GridSearchCV fails at the last step in `_format_results()`, if the parameter is of a complex type, such as a dict with mixed key types of a string and a number.
In the code below, the code works for
```python
param_grid=d... | 29,137 | [
0.04128338769078255,
-0.00651250034570694,
0.04792391508817673,
-0.029681125655770302,
0.12037461996078491,
-0.02425854466855526,
-0.01867731474339962,
0.02451523207128048,
0.01832014136016369,
-0.030572516843676567,
0.031875599175691605,
0.0336531363427639,
-0.011512337252497673,
0.018950... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
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0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
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0.02565571665763855,
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0.07328230142593384,
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0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29133 | [
"New Feature",
"Performance",
"help wanted",
"Hard"
] | FEAT Allow the vector-form representation of symetric distance matrices as input
### Describe the workflow you want to enable
I would like to calculate the upper triangle of a distance from `scipy.spatial.distance.pdist` instead of the redundant and memory intensive version from `sklearn.metrics.pairwise_distances`... | 29,133 | [
-0.05422953516244888,
-0.042195212095975876,
0.005554575938731432,
-0.025996141135692596,
0.02565571665763855,
0.02128257229924202,
0.04150543734431267,
0.048337891697883606,
0.07328230142593384,
-0.038625966757535934,
0.012096306309103966,
0.01761634834110737,
0.015606707893311977,
0.0513... |
https://github.com/scikit-learn/scikit-learn/issues/29127 | [
"Bug",
"Needs Triage"
] | t-SNE Kernel Crash
### Describe the bug
TSNE `fit_transform` leads in rare cases to a Kernel crash. I was able to reproduce it locally on my Mac, on Google Colab as well as in a GitHub Actions pipeline (Ubuntu).
The error message doesn't mention a specific reason:
`[error] Disposing session as kernel process die... | 29,127 | [
-0.05955428630113602,
-0.04748256877064705,
0.009922945871949196,
0.03707686439156532,
0.057210203260183334,
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0.026937510818243027,
0.052836574614048004,
-0.003966831136494875,
0... |
https://github.com/scikit-learn/scikit-learn/issues/29127 | [
"Bug",
"Needs Triage"
] | t-SNE Kernel Crash
### Describe the bug
TSNE `fit_transform` leads in rare cases to a Kernel crash. I was able to reproduce it locally on my Mac, on Google Colab as well as in a GitHub Actions pipeline (Ubuntu).
The error message doesn't mention a specific reason:
`[error] Disposing session as kernel process die... | 29,127 | [
-0.05955428630113602,
-0.04748256877064705,
0.009922945871949196,
0.03707686439156532,
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-0.024013027548789978,
0.026937510818243027,
0.052836574614048004,
-0.003966831136494875,
0... |
https://github.com/scikit-learn/scikit-learn/issues/29122 | [
"New Feature",
"Needs Triage"
] | Pre-Built Dataset-Specific Pipelines for scikit-learn/ML Beginners
### Describe the workflow you want to enable
I would be fine allowing anyone else to contribute along with this series of pre-built pipelines or simply being the first to make one for one of the already included datasets in scikit-learn.
### Desc... | 29,122 | [
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0.12... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.035404548048973083,
0.02453746274113655,
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0.029667308554053307,
0.0782560259103775,
0.06067759916186333,
0.006... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.03358396515250206,
0.03369450196623802,
-0.049546319991350174,
-0.024569706991314888,
0.00840954203158617,
0.019093502312898636,
0.046956855803728104,
0.0022088780533522367,
0.0026534260250627995,
-0.020669935271143913,
0.049149952828884125,
0.054079484194517136,
0.06094864010810852,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.03607321158051491,
0.030412720516324043,
-0.048866331577301025,
-0.028735345229506493,
0.011968009173870087,
0.011237090453505516,
0.04361595958471298,
0.00647779181599617,
0.005126977805048227,
-0.013318036682903767,
0.050189319998025894,
0.06366049498319626,
0.05593693256378174,
0.0261... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.031171372160315514,
0.03138069063425064,
-0.04785534366965294,
-0.024710722267627716,
0.009172848425805569,
0.014540144242346287,
0.04506876692175865,
0.0018907111370936036,
0.005136542487889528,
-0.011069165542721748,
0.05199051648378372,
0.06241407245397568,
0.056393515318632126,
0.030... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.05023713782429695,
0.03474792465567589,
-0.04296320676803589,
-0.038598574697971344,
0.023941243067383766,
0.010603072121739388,
0.02998833730816841,
0.019122499972581863,
-0.0006871311343275011,
-0.016549814492464066,
0.026780622079968452,
0.06523741036653519,
0.05136362463235855,
0.014... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.044283948838710785,
0.022636929526925087,
-0.044499266892671585,
-0.027056816965341568,
0.008914895355701447,
0.007784561719745398,
0.04542187228798866,
0.018082305788993835,
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-0.016018858179450035,
0.037568315863609314,
0.05950508266687393,
0.05099162459373474,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.03577844798564911,
0.0359082855284214,
-0.050915367901325226,
-0.02523129992187023,
0.009540590457618237,
0.01228691078722477,
0.041407935321331024,
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0.00850011222064495,
-0.013981909491121769,
0.05319516733288765,
0.05951673164963722,
0.04966207221150398,
0.0274584... |
https://github.com/scikit-learn/scikit-learn/issues/29117 | [
"Bug",
"Documentation"
] | Request to update "Choosing the Right Estimator" Graphic (scikit-learn algorithm cheat sheet)
### Describe the issue linked to the documentation
As in the documented map here - https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The path after `Predicting a category` (When "YES") goes to both ... | 29,117 | [
0.03137374669313431,
0.03844017535448074,
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0.01633835770189762,
0.012160982936620712,
0.04183821380138397,
0.00469566136598587,
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0.045043960213661194,
0.06416711956262589,
0.05522998049855232,
0.019244961... |
https://github.com/scikit-learn/scikit-learn/issues/29111 | [
"Bug",
"Needs Info"
] | ColumnTransformer ignores certain column t
### Describe the bug
I have a series of fitted CountVectorizers each will preprocess a column of the dataframe. However when putting them in ColumnTransformer, a few CountVecrotizers were given the whole dataframe rather than just the column it is supposed to process.
#... | 29,111 | [
-0.015566825866699219,
0.007265819236636162,
0.01740529015660286,
0.03131992369890213,
0.08843811601400375,
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0.0425022691488266,
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0.03272609785199165,
0.04250986501574516,
-0.028469178825616837,
0.031087704002857208,
0.0034577... |
https://github.com/scikit-learn/scikit-learn/issues/29111 | [
"Bug",
"Needs Info"
] | ColumnTransformer ignores certain column t
### Describe the bug
I have a series of fitted CountVectorizers each will preprocess a column of the dataframe. However when putting them in ColumnTransformer, a few CountVecrotizers were given the whole dataframe rather than just the column it is supposed to process.
#... | 29,111 | [
-0.015566825866699219,
0.007265819236636162,
0.01740529015660286,
0.03131992369890213,
0.08843811601400375,
0.03545718267560005,
0.0425022691488266,
0.022539697587490082,
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0.03272609785199165,
0.04250986501574516,
-0.028469178825616837,
0.031087704002857208,
0.0034577... |
https://github.com/scikit-learn/scikit-learn/issues/29107 | [
"Bug",
"Regression",
"Array API"
] | Incorrect invalid device error introduced in #25956
### Describe the bug
#25956 introduced a new `sklearn.utils._array_api._check_device_cpu` function to test whether a tensor is on CPU. However, the implementation of the test, which is `device not in {"cpu", None}`, is incorrect -- the device will actually not be ... | 29,107 | [
0.012658174149692059,
-0.03723932057619095,
-0.015977950766682625,
-0.03496240824460983,
0.05507814884185791,
0.034053441137075424,
0.0894760936498642,
0.043827034533023834,
0.03414347022771835,
-0.022205688059329987,
0.018164807930588722,
0.03514901176095009,
0.018658174201846123,
-0.0222... |
https://github.com/scikit-learn/scikit-learn/issues/29107 | [
"Bug",
"Regression",
"Array API"
] | Incorrect invalid device error introduced in #25956
### Describe the bug
#25956 introduced a new `sklearn.utils._array_api._check_device_cpu` function to test whether a tensor is on CPU. However, the implementation of the test, which is `device not in {"cpu", None}`, is incorrect -- the device will actually not be ... | 29,107 | [
0.012658174149692059,
-0.03723932057619095,
-0.015977950766682625,
-0.03496240824460983,
0.05507814884185791,
0.034053441137075424,
0.0894760936498642,
0.043827034533023834,
0.03414347022771835,
-0.022205688059329987,
0.018164807930588722,
0.03514901176095009,
0.018658174201846123,
-0.0222... |
https://github.com/scikit-learn/scikit-learn/issues/29107 | [
"Bug",
"Regression",
"Array API"
] | Incorrect invalid device error introduced in #25956
### Describe the bug
#25956 introduced a new `sklearn.utils._array_api._check_device_cpu` function to test whether a tensor is on CPU. However, the implementation of the test, which is `device not in {"cpu", None}`, is incorrect -- the device will actually not be ... | 29,107 | [
0.012658174149692059,
-0.03723932057619095,
-0.015977950766682625,
-0.03496240824460983,
0.05507814884185791,
0.034053441137075424,
0.0894760936498642,
0.043827034533023834,
0.03414347022771835,
-0.022205688059329987,
0.018164807930588722,
0.03514901176095009,
0.018658174201846123,
-0.0222... |
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