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/25492 | [
"Bug"
] | Enable feature selectors to pass pandas DataFrame to estimator
### Describe the workflow you want to enable
When running SequentialFeatureSelector (or, presumably, other feature selection methods) with a pandas DataFrame input, the reduced-feature input is passed to the estimator as a numpy array. This seems incons... | 25,492 | [
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https://github.com/scikit-learn/scikit-learn/issues/25492 | [
"Bug"
] | Enable feature selectors to pass pandas DataFrame to estimator
### Describe the workflow you want to enable
When running SequentialFeatureSelector (or, presumably, other feature selection methods) with a pandas DataFrame input, the reduced-feature input is passed to the estimator as a numpy array. This seems incons... | 25,492 | [
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0.0408... |
https://github.com/scikit-learn/scikit-learn/issues/25492 | [
"Bug"
] | Enable feature selectors to pass pandas DataFrame to estimator
### Describe the workflow you want to enable
When running SequentialFeatureSelector (or, presumably, other feature selection methods) with a pandas DataFrame input, the reduced-feature input is passed to the estimator as a numpy array. This seems incons... | 25,492 | [
0.006762305740267038,
0.09134646505117416,
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0.0036144410260021687,
0.05509554222226143,
0.04218967631459236,
0.0408... |
https://github.com/scikit-learn/scikit-learn/issues/25492 | [
"Bug"
] | Enable feature selectors to pass pandas DataFrame to estimator
### Describe the workflow you want to enable
When running SequentialFeatureSelector (or, presumably, other feature selection methods) with a pandas DataFrame input, the reduced-feature input is passed to the estimator as a numpy array. This seems incons... | 25,492 | [
0.006762305740267038,
0.09134646505117416,
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0.0036144410260021687,
0.05509554222226143,
0.04218967631459236,
0.0408... |
https://github.com/scikit-learn/scikit-learn/issues/25492 | [
"Bug"
] | Enable feature selectors to pass pandas DataFrame to estimator
### Describe the workflow you want to enable
When running SequentialFeatureSelector (or, presumably, other feature selection methods) with a pandas DataFrame input, the reduced-feature input is passed to the estimator as a numpy array. This seems incons... | 25,492 | [
0.006762305740267038,
0.09134646505117416,
0.008567025884985924,
-0.049394842237234116,
0.05360466614365578,
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0.09898069500923157,
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0.0036144410260021687,
0.05509554222226143,
0.04218967631459236,
0.0408... |
https://github.com/scikit-learn/scikit-learn/issues/25487 | [
"Bug",
"module:compose"
] | ColumnTransformer with pandas output can't handle transformers with no features
### Describe the bug
Hi,
ColumnTransformer doesn't deal well with transformers that apply to 0 features (categorical_features in the example below) when using "pandas" as output. It seems steps with 0 features are not fitted, hence d... | 25,487 | [
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0.0286... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.013621365651488304,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.013621365651488304,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.013621365651488304,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25486 | [
"Build / CI"
] | circle ci's push_doc.sh fails at git push step
I am investigating with the recent failures when deploying the build doc from circle ci.
- https://app.circleci.com/pipelines/github/scikit-learn/scikit-learn/43060/workflows/59a6e5eb-7bfd-40a4-92b1-a3b255dc028a/jobs/224165
I did an interactive run on circle ci and ... | 25,486 | [
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0.02793673798441887,
0.013621365651488304,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
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-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
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-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
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0.028236130252480507,
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0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
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-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25484 | [
"Build / CI",
"help wanted",
"cython",
"Meta-issue"
] | MAINT Improve scikit-learn reliability by replacing `cnp.ndarray`s with typed memoryviews
### Context
Using `cnp.ndarray` is not encouragged and using [typed memoryviews](https://cython.readthedocs.io/en/latest/src/userguide/memoryviews.html#typed-memoryviews) must be preferred. More precisely [`const`-qualified me... | 25,484 | [
-0.014348497614264488,
0.03244520351290703,
0.026622319594025612,
0.013031071983277798,
0.028630873188376427,
0.0024653300642967224,
0.028236130252480507,
-0.006009766366332769,
0.03961985185742378,
-0.011822842992842197,
0.008604220114648342,
0.03445420414209366,
-0.02442021667957306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25481 | [
"Bug",
"module:tree"
] | Setting min_samples_split=1 in DecisionTreeClassifier does not raise exception
### Describe the bug
If `min_samples_split` is set to 1, an exception should be raised according to the paramter's constraints:
https://github.com/scikit-learn/scikit-learn/blob/e2e705021eb6c9f23f0972f119b56e37cd7567ef/sklearn/tree/_cla... | 25,481 | [
-0.031415317207574844,
-0.0411393903195858,
0.028927255421876907,
-0.02277660369873047,
0.0420541986823082,
-0.025003595277667046,
0.009550525806844234,
0.04703361541032791,
-0.045050814747810364,
-0.009687568061053753,
0.054614342749118805,
0.011171801015734673,
0.0010740511352196336,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/25481 | [
"Bug",
"module:tree"
] | Setting min_samples_split=1 in DecisionTreeClassifier does not raise exception
### Describe the bug
If `min_samples_split` is set to 1, an exception should be raised according to the paramter's constraints:
https://github.com/scikit-learn/scikit-learn/blob/e2e705021eb6c9f23f0972f119b56e37cd7567ef/sklearn/tree/_cla... | 25,481 | [
-0.031415317207574844,
-0.0411393903195858,
0.028927255421876907,
-0.02277660369873047,
0.0420541986823082,
-0.025003595277667046,
0.009550525806844234,
0.04703361541032791,
-0.045050814747810364,
-0.009687568061053753,
0.054614342749118805,
0.011171801015734673,
0.0010740511352196336,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/25481 | [
"Bug",
"module:tree"
] | Setting min_samples_split=1 in DecisionTreeClassifier does not raise exception
### Describe the bug
If `min_samples_split` is set to 1, an exception should be raised according to the paramter's constraints:
https://github.com/scikit-learn/scikit-learn/blob/e2e705021eb6c9f23f0972f119b56e37cd7567ef/sklearn/tree/_cla... | 25,481 | [
-0.031415317207574844,
-0.0411393903195858,
0.028927255421876907,
-0.02277660369873047,
0.0420541986823082,
-0.025003595277667046,
0.009550525806844234,
0.04703361541032791,
-0.045050814747810364,
-0.009687568061053753,
0.054614342749118805,
0.011171801015734673,
0.0010740511352196336,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/25481 | [
"Bug",
"module:tree"
] | Setting min_samples_split=1 in DecisionTreeClassifier does not raise exception
### Describe the bug
If `min_samples_split` is set to 1, an exception should be raised according to the paramter's constraints:
https://github.com/scikit-learn/scikit-learn/blob/e2e705021eb6c9f23f0972f119b56e37cd7567ef/sklearn/tree/_cla... | 25,481 | [
-0.031415317207574844,
-0.0411393903195858,
0.028927255421876907,
-0.02277660369873047,
0.0420541986823082,
-0.025003595277667046,
0.009550525806844234,
0.04703361541032791,
-0.045050814747810364,
-0.009687568061053753,
0.054614342749118805,
0.011171801015734673,
0.0010740511352196336,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.03156555816531181,
0.09386703372001648,
0.010503865778446198,
0.019434016197919846,
0.0794457495212555,
0.035778019577264786,
0.04574190452694893,
0.00938884075731039,
0.01598479226231575,
-0.016970643773674965,
0.04013196751475334,
0.0112873250618577,
0.054633062332868576,
0.07459536939... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.028119398280978203,
0.09488248080015182,
0.009970183484256268,
0.018148070201277733,
0.08977010101079941,
0.03272005543112755,
0.04423462972044945,
0.020047862082719803,
0.024902408942580223,
-0.048316583037376404,
0.03675489500164986,
0.022017428651452065,
0.039251528680324554,
0.073306... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.015235163271427155,
0.0884101614356041,
0.006651223637163639,
0.019833987578749657,
0.06575051695108414,
0.04129219800233841,
0.04659707471728325,
0.02242208644747734,
0.021244050934910774,
-0.02809414267539978,
0.03183251991868019,
0.010220001451671124,
0.041256267577409744,
0.091298431... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.04426480457186699,
0.09758104383945465,
-0.002280760556459427,
0.02125227451324463,
0.05567292869091034,
0.04191991314291954,
0.05096471309661865,
0.019069941714406013,
0.05190730467438698,
-0.01471740659326315,
0.03785101696848869,
0.016327058896422386,
0.022760838270187378,
0.056766968... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.032965004444122314,
0.10315954685211182,
0.012072444893419743,
0.013123822398483753,
0.06395737081766129,
0.030794411897659302,
0.06893423199653625,
0.0072332643903791904,
0.04225463047623634,
-0.03091192990541458,
0.01797434687614441,
0.020294394344091415,
0.00939166359603405,
0.0553682... |
https://github.com/scikit-learn/scikit-learn/issues/25478 | [
"module:datasets",
"Needs Investigation"
] | Regression for wine dataset with pandas parser
From #25334, it seems that we have a regression for the pandas parser for the following dataset.
```python
from sklearn.datasets import fetch_openml
wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
# pandas.errors.ParserError: Error tok... | 25,478 | [
0.03328119218349457,
0.11214779317378998,
0.0024319069925695658,
0.02555740438401699,
0.05292300879955292,
0.036903493106365204,
0.040092915296554565,
0.023565512150526047,
0.03755120933055878,
-0.034657835960388184,
0.027469096705317497,
0.03211698681116104,
0.011636821553111076,
0.087683... |
https://github.com/scikit-learn/scikit-learn/issues/25470 | [
"Bug"
] | AttributeError: 'str' object has no attribute 'set_params' when tuning a boosted classifier
### Describe the bug
Using `GridSearchCV` or `RandomizedSearchCV` to perform parameters tuning on an `AdaBoostClassifier`, the model doesn't fit when `base_estimator__` parameters are searched, no matter what the base estim... | 25,470 | [
0.003961824346333742,
-0.017467979341745377,
0.03987191990017891,
-0.027509672567248344,
0.12063988298177719,
-0.0231579951941967,
-0.01901107281446457,
0.03187955170869827,
-0.013919632881879807,
-0.024695632979273796,
0.018450787290930748,
0.0423857718706131,
0.019452225416898727,
-0.000... |
https://github.com/scikit-learn/scikit-learn/issues/25470 | [
"Bug"
] | AttributeError: 'str' object has no attribute 'set_params' when tuning a boosted classifier
### Describe the bug
Using `GridSearchCV` or `RandomizedSearchCV` to perform parameters tuning on an `AdaBoostClassifier`, the model doesn't fit when `base_estimator__` parameters are searched, no matter what the base estim... | 25,470 | [
0.003961824346333742,
-0.017467979341745377,
0.03987191990017891,
-0.027509672567248344,
0.12063988298177719,
-0.0231579951941967,
-0.01901107281446457,
0.03187955170869827,
-0.013919632881879807,
-0.024695632979273796,
0.018450787290930748,
0.0423857718706131,
0.019452225416898727,
-0.000... |
https://github.com/scikit-learn/scikit-learn/issues/25470 | [
"Bug"
] | AttributeError: 'str' object has no attribute 'set_params' when tuning a boosted classifier
### Describe the bug
Using `GridSearchCV` or `RandomizedSearchCV` to perform parameters tuning on an `AdaBoostClassifier`, the model doesn't fit when `base_estimator__` parameters are searched, no matter what the base estim... | 25,470 | [
0.003961824346333742,
-0.017467979341745377,
0.03987191990017891,
-0.027509672567248344,
0.12063988298177719,
-0.0231579951941967,
-0.01901107281446457,
0.03187955170869827,
-0.013919632881879807,
-0.024695632979273796,
0.018450787290930748,
0.0423857718706131,
0.019452225416898727,
-0.000... |
https://github.com/scikit-learn/scikit-learn/issues/25470 | [
"Bug"
] | AttributeError: 'str' object has no attribute 'set_params' when tuning a boosted classifier
### Describe the bug
Using `GridSearchCV` or `RandomizedSearchCV` to perform parameters tuning on an `AdaBoostClassifier`, the model doesn't fit when `base_estimator__` parameters are searched, no matter what the base estim... | 25,470 | [
0.003961824346333742,
-0.017467979341745377,
0.03987191990017891,
-0.027509672567248344,
0.12063988298177719,
-0.0231579951941967,
-0.01901107281446457,
0.03187955170869827,
-0.013919632881879807,
-0.024695632979273796,
0.018450787290930748,
0.0423857718706131,
0.019452225416898727,
-0.000... |
https://github.com/scikit-learn/scikit-learn/issues/25468 | [
"Bug",
"Needs Triage"
] | Try to Implemenet the example but error raise (TypeError: __init__() takes 1 positional argument but 3 were given)
### Describe the bug
I try to run the example of NearestNeighbors which is given in the documentation
```py
import numpy as np
from sklearn.neighbors import NearestNeighbors
samples = [[0,... | 25,468 | [
0.02560575306415558,
-0.039295606315135956,
0.019584938883781433,
0.005784898996353149,
0.04024246707558632,
0.03080686181783676,
0.1026625707745552,
0.02887779101729393,
0.0371767058968544,
-0.01211518608033657,
-0.0023884479887783527,
0.025079665705561638,
0.006416712887585163,
-0.047213... |
https://github.com/scikit-learn/scikit-learn/issues/25468 | [
"Bug",
"Needs Triage"
] | Try to Implemenet the example but error raise (TypeError: __init__() takes 1 positional argument but 3 were given)
### Describe the bug
I try to run the example of NearestNeighbors which is given in the documentation
```py
import numpy as np
from sklearn.neighbors import NearestNeighbors
samples = [[0,... | 25,468 | [
0.02560575306415558,
-0.039295606315135956,
0.019584938883781433,
0.005784898996353149,
0.04024246707558632,
0.03080686181783676,
0.1026625707745552,
0.02887779101729393,
0.0371767058968544,
-0.01211518608033657,
-0.0023884479887783527,
0.025079665705561638,
0.006416712887585163,
-0.047213... |
https://github.com/scikit-learn/scikit-learn/issues/25468 | [
"Bug",
"Needs Triage"
] | Try to Implemenet the example but error raise (TypeError: __init__() takes 1 positional argument but 3 were given)
### Describe the bug
I try to run the example of NearestNeighbors which is given in the documentation
```py
import numpy as np
from sklearn.neighbors import NearestNeighbors
samples = [[0,... | 25,468 | [
0.02560575306415558,
-0.039295606315135956,
0.019584938883781433,
0.005784898996353149,
0.04024246707558632,
0.03080686181783676,
0.1026625707745552,
0.02887779101729393,
0.0371767058968544,
-0.01211518608033657,
-0.0023884479887783527,
0.025079665705561638,
0.006416712887585163,
-0.047213... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.03319026902318001,
0.05130026862025261,
0.018124213442206383,
-0.011146270669996738,
0.034640245139598846,
-0.018218545243144035,
0.013349145650863647,
0.01526589971035719,
-0.06148651987314224,
-0.011345303617417812,
0.05775516480207443,
-0.04642179608345032,
-0.03704986348748207,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.035537976771593094,
0.05206626281142235,
0.017122523859143257,
-0.011459325440227985,
0.03678137809038162,
-0.02007560431957245,
0.016533836722373962,
0.0155327208340168,
-0.06297115981578827,
-0.014604696072638035,
0.059841252863407135,
-0.04165670648217201,
-0.039468053728342056,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.03274599090218544,
0.04576221853494644,
0.018305787816643715,
-0.011781907640397549,
0.036644019186496735,
-0.016850244253873825,
0.01319812424480915,
0.014944595284759998,
-0.05966408923268318,
-0.013029215857386589,
0.05754701420664787,
-0.04627811908721924,
-0.03656405955553055,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.03460625931620598,
0.049235470592975616,
0.020807119086384773,
-0.013957456685602665,
0.0342537984251976,
-0.0178275927901268,
0.015330418013036251,
0.011506536044180393,
-0.06129460409283638,
-0.008874359540641308,
0.05766715109348297,
-0.043436985462903976,
-0.03907500579953194,
0.006... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.032696932554244995,
0.0501507893204689,
0.01960887759923935,
-0.012843853794038296,
0.036901261657476425,
-0.0182424858212471,
0.014002612791955471,
0.013196425512433052,
-0.06261556595563889,
-0.01329704187810421,
0.05924150347709656,
-0.04538356885313988,
-0.03666210547089577,
0.00260... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.03436949476599693,
0.052148137241601944,
0.017667502164840698,
-0.012141921557486057,
0.03610573709011078,
-0.01807139627635479,
0.01061371248215437,
0.014316651038825512,
-0.06270921975374222,
-0.012195778079330921,
0.05914034694433212,
-0.044588033109903336,
-0.03765372931957245,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25460 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | HistGradientBoosting avoid data shuffling when early_stopping activated
hello, it would be useful if the _HistGradientBoostingRegressor_ or _HistGradientBoostingClassifier_ model had the ability to avoid data shuffling when using the _early_stopping_ and _validation_fraction_ parameters, since maintaining data order i... | 25,460 | [
-0.03369764983654022,
0.049130912870168686,
0.01876514032483101,
-0.011851848103106022,
0.03136834874749184,
-0.017324287444353104,
0.015999652445316315,
0.015020339749753475,
-0.062431760132312775,
-0.010397612117230892,
0.05842628329992294,
-0.04733433574438095,
-0.03532183915376663,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25452 | [
"Build / CI"
] | Issue building from source on Fedora 37 Python 3.11
Dear maintainers,
I've recently updated my system to Fedora 37, shipping python 3.11.
I've created and activated a new python venv
```
python3 -m venv skldevenv/
source ~/skldevenv/bin/activate
```
then build main at commit a7cd0ca44d0af64bc22a7213371e3c11... | 25,452 | [
0.03135799989104271,
-0.07783571630716324,
-0.005715139675885439,
-0.08202142268419266,
0.060658685863018036,
0.017438074573874474,
0.01614110730588436,
0.02269328571856022,
-0.003146880306303501,
-0.01926328055560589,
0.020800182595849037,
0.11061422526836395,
0.012974915094673634,
0.0448... |
https://github.com/scikit-learn/scikit-learn/issues/25444 | [
"Bug"
] | Incorrect test test_validation.py::test_cross_validate?
### Describe the bug
I wanted to learn more about how cross_validation is implemented in sklearn and came across what I think is a faulty or confusing test.
The test test_cross_validate in model_selection/tests/test_validation.py creates two datasets, one r... | 25,444 | [
0.0036596879363059998,
0.0007094585453160107,
0.004311495926231146,
0.023916682228446007,
0.07327687740325928,
0.016607321798801422,
0.055837009102106094,
0.02907860465347767,
0.05643196031451225,
-0.022893160581588745,
-0.0012143709463998675,
0.02903131954371929,
0.04064091667532921,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25444 | [
"Bug"
] | Incorrect test test_validation.py::test_cross_validate?
### Describe the bug
I wanted to learn more about how cross_validation is implemented in sklearn and came across what I think is a faulty or confusing test.
The test test_cross_validate in model_selection/tests/test_validation.py creates two datasets, one r... | 25,444 | [
0.0036596879363059998,
0.0007094585453160107,
0.004311495926231146,
0.023916682228446007,
0.07327687740325928,
0.016607321798801422,
0.055837009102106094,
0.02907860465347767,
0.05643196031451225,
-0.022893160581588745,
-0.0012143709463998675,
0.02903131954371929,
0.04064091667532921,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25444 | [
"Bug"
] | Incorrect test test_validation.py::test_cross_validate?
### Describe the bug
I wanted to learn more about how cross_validation is implemented in sklearn and came across what I think is a faulty or confusing test.
The test test_cross_validate in model_selection/tests/test_validation.py creates two datasets, one r... | 25,444 | [
0.0036596879363059998,
0.0007094585453160107,
0.004311495926231146,
0.023916682228446007,
0.07327687740325928,
0.016607321798801422,
0.055837009102106094,
0.02907860465347767,
0.05643196031451225,
-0.022893160581588745,
-0.0012143709463998675,
0.02903131954371929,
0.04064091667532921,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25439 | [
"Bug",
"Needs Triage"
] | BalancedBaggingClassifier returns "TypeError: Cannot clone object ''deprecated''
### Describe the bug
Example taken from: https://imbalanced-learn.org/stable/auto_examples/applications/plot_impact_imbalanced_classes.html#sphx-glr-auto-examples-applications-plot-impact-imbalanced-classes-py
gives error.
### Steps/... | 25,439 | [
0.013310098089277744,
-0.010450380854308605,
0.03382747620344162,
-0.0386841744184494,
0.04719921946525574,
-0.0041547417640686035,
0.0360804907977581,
0.028433850035071373,
-0.011518865823745728,
-0.021274829283356667,
0.006094916723668575,
0.04873163253068924,
0.01707695610821247,
0.0446... |
https://github.com/scikit-learn/scikit-learn/issues/25439 | [
"Bug",
"Needs Triage"
] | BalancedBaggingClassifier returns "TypeError: Cannot clone object ''deprecated''
### Describe the bug
Example taken from: https://imbalanced-learn.org/stable/auto_examples/applications/plot_impact_imbalanced_classes.html#sphx-glr-auto-examples-applications-plot-impact-imbalanced-classes-py
gives error.
### Steps/... | 25,439 | [
0.013310098089277744,
-0.010450380854308605,
0.03382747620344162,
-0.0386841744184494,
0.04719921946525574,
-0.0041547417640686035,
0.0360804907977581,
0.028433850035071373,
-0.011518865823745728,
-0.021274829283356667,
0.006094916723668575,
0.04873163253068924,
0.01707695610821247,
0.0446... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
-0.02460053563117981,
0.0272389966994524,
0.02783636748790741,
0.0029710179660469294,
0.06924717128276825,
-0.031729184091091156,
0.007694144733250141,
0.020163819193840027,
-0.02621801756322384,
-0.03057177923619747,
0.040014177560806274,
-0.03732069954276085,
0.027300985530018806,
0.0259... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
-0.027713926509022713,
0.04147909954190254,
0.023654799908399582,
-0.01748129539191723,
0.04543247073888779,
-0.03626770153641701,
0.011105217970907688,
0.027655955404043198,
-0.05042685568332672,
-0.02432386763393879,
0.04354362562298775,
-0.028775839135050774,
0.021599259227514267,
0.023... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
-0.025144722312688828,
0.054217379540205,
0.018551087006926537,
-0.004767616279423237,
0.04552863910794258,
-0.026898609474301338,
-0.005519715137779713,
0.022877801209688187,
-0.04064588621258736,
-0.03649365156888962,
0.03423428535461426,
-0.02459147945046425,
0.021494794636964798,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
-0.037345774471759796,
0.0407913513481617,
0.02321798726916313,
-0.017625607550144196,
0.04789622873067856,
-0.03040672279894352,
0.00834933202713728,
0.008196044713258743,
-0.03508559614419937,
-0.02588540129363537,
0.05074102431535721,
-0.04052866995334625,
0.027141420170664787,
0.018542... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
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0.022377431392669678,
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0.025677930563688278,
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0.041656408458948135,
... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
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0.05255135893821716,
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0.018954968079924583,
... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
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0.04940619692206383,
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0.019786061719059944,
0... |
https://github.com/scikit-learn/scikit-learn/issues/25438 | [
"module:decomposition"
] | Avoiding zeros in NMF β loss calculation causes inconsistency
https://github.com/scikit-learn/scikit-learn/blob/3f82f840599cc8d2d1278cd4d35aae2089f2e00d/sklearn/decomposition/_nmf.py#L143
The line `WH_data[WH_data == 0] = ΕPSILON` as part of the β loss calculation creates a situation where some entries in the data ... | 25,438 | [
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0.037936966866254807,
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0.04853508248925209,
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0.02786223776638508,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25433 | [
"New Feature",
"RFC"
] | Open up `check_array` and `BaseEstimator._validate_data` to overriding `xp.asarray` with an additional callable parameter `asarray_fn`
### Describe the workflow you want to enable
Some people (including @betatim @ogrisel @jjerphan and I) have been devising a plugin system that would open up `sklearn` estimators to ... | 25,433 | [
-0.033401135355234146,
0.10006656497716904,
0.010172130540013313,
-0.0024567691143602133,
0.041183486580848694,
0.016975168138742447,
0.06881613284349442,
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0.03237969055771828,
0.017647115513682365,
0.015262526459991932,
0.06564025580883026,
-0.027213457971811295,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25433 | [
"New Feature",
"RFC"
] | Open up `check_array` and `BaseEstimator._validate_data` to overriding `xp.asarray` with an additional callable parameter `asarray_fn`
### Describe the workflow you want to enable
Some people (including @betatim @ogrisel @jjerphan and I) have been devising a plugin system that would open up `sklearn` estimators to ... | 25,433 | [
-0.033401135355234146,
0.10006656497716904,
0.010172130540013313,
-0.0024567691143602133,
0.041183486580848694,
0.016975168138742447,
0.06881613284349442,
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0.017647115513682365,
0.015262526459991932,
0.06564025580883026,
-0.027213457971811295,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25433 | [
"New Feature",
"RFC"
] | Open up `check_array` and `BaseEstimator._validate_data` to overriding `xp.asarray` with an additional callable parameter `asarray_fn`
### Describe the workflow you want to enable
Some people (including @betatim @ogrisel @jjerphan and I) have been devising a plugin system that would open up `sklearn` estimators to ... | 25,433 | [
-0.033401135355234146,
0.10006656497716904,
0.010172130540013313,
-0.0024567691143602133,
0.041183486580848694,
0.016975168138742447,
0.06881613284349442,
-0.010096635669469833,
0.03237969055771828,
0.017647115513682365,
0.015262526459991932,
0.06564025580883026,
-0.027213457971811295,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25433 | [
"New Feature",
"RFC"
] | Open up `check_array` and `BaseEstimator._validate_data` to overriding `xp.asarray` with an additional callable parameter `asarray_fn`
### Describe the workflow you want to enable
Some people (including @betatim @ogrisel @jjerphan and I) have been devising a plugin system that would open up `sklearn` estimators to ... | 25,433 | [
-0.033401135355234146,
0.10006656497716904,
0.010172130540013313,
-0.0024567691143602133,
0.041183486580848694,
0.016975168138742447,
0.06881613284349442,
-0.010096635669469833,
0.03237969055771828,
0.017647115513682365,
0.015262526459991932,
0.06564025580883026,
-0.027213457971811295,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25430 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=51160&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jan 20, 2023)
Unable to find junit file. Please see link for details.
COMMENT:
I... | 25,430 | [
-0.00011530680058058351,
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0.026410097256302834,
0.018486186861991882,
-0.011943134479224682,... |
https://github.com/scikit-learn/scikit-learn/issues/25430 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=51160&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jan 20, 2023)
Unable to find junit file. Please see link for details.
COMMENT:
I... | 25,430 | [
-0.02031760849058628,
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-0.010879332199692726,
... |
https://github.com/scikit-learn/scikit-learn/issues/25430 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=51160&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jan 20, 2023)
Unable to find junit file. Please see link for details.
COMMENT:
O... | 25,430 | [
-0.0001232469512615353,
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0.015119703486561775,
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0.02728126384317875,
0.029134400188922882,
0.04357496276497841,
-0.022270433604717255,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/25430 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_nogil.pylatest_pip_nogil ⚠️
**CI is still failing on [Linux_nogil.pylatest_pip_nogil](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=51160&view=logs&j=67fbb25f-e417-50be-be55-3b1e9637fce5)** (Jan 20, 2023)
Unable to find junit file. Please see link for details.
COMMENT:
Y... | 25,430 | [
-0.017199663445353508,
-0.005102141760289669,
-0.03541654720902443,
-0.058710936456918716,
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0.020831871777772903,
0.025908883661031723,
0.017875390127301216,
0.022074591368436813,
0.012087348848581314,
0.030898956581950188,
0.04366512969136238,
-0.021207621321082115,
... |
https://github.com/scikit-learn/scikit-learn/issues/25422 | [
"Documentation"
] | ``ColumnTransformer`` not honoring passthrough on `transform` with pandas when passthroughs not present in `fit` data
### Describe the bug
Passthrough columns appear to be dropped after running transform on the ColumnTranformer when the fit data did not have the same passthroughs. From my reading of the docstring, ... | 25,422 | [
0.019864851608872414,
0.05843854323029518,
0.0336606428027153,
0.006886964663863182,
0.07552599161863327,
0.0008896054932847619,
0.04842812195420265,
0.0369650200009346,
-0.04672740027308464,
-0.02129485085606575,
0.04791726917028427,
0.030622310936450958,
0.08795791864395142,
0.0162124764... |
https://github.com/scikit-learn/scikit-learn/issues/25422 | [
"Documentation"
] | ``ColumnTransformer`` not honoring passthrough on `transform` with pandas when passthroughs not present in `fit` data
### Describe the bug
Passthrough columns appear to be dropped after running transform on the ColumnTranformer when the fit data did not have the same passthroughs. From my reading of the docstring, ... | 25,422 | [
0.019864851608872414,
0.05843854323029518,
0.0336606428027153,
0.006886964663863182,
0.07552599161863327,
0.0008896054932847619,
0.04842812195420265,
0.0369650200009346,
-0.04672740027308464,
-0.02129485085606575,
0.04791726917028427,
0.030622310936450958,
0.08795791864395142,
0.0162124764... |
https://github.com/scikit-learn/scikit-learn/issues/25422 | [
"Documentation"
] | ``ColumnTransformer`` not honoring passthrough on `transform` with pandas when passthroughs not present in `fit` data
### Describe the bug
Passthrough columns appear to be dropped after running transform on the ColumnTranformer when the fit data did not have the same passthroughs. From my reading of the docstring, ... | 25,422 | [
0.019864851608872414,
0.05843854323029518,
0.0336606428027153,
0.006886964663863182,
0.07552599161863327,
0.0008896054932847619,
0.04842812195420265,
0.0369650200009346,
-0.04672740027308464,
-0.02129485085606575,
0.04791726917028427,
0.030622310936450958,
0.08795791864395142,
0.0162124764... |
https://github.com/scikit-learn/scikit-learn/issues/25421 | [
"Documentation",
"Needs Reproducible Code"
] | There is no raise expectation
### Describe the issue linked to the documentation
There is no raise expectation in baysius model when the prediction's feature is not in the data trained, but just index out of range. But there's raise value error in fitting function
<img width="303" alt="image" src="https://user-image... | 25,421 | [
-0.045294567942619324,
-0.00014285315410234034,
-0.0009304119739681482,
-0.029161864891648293,
0.08745606988668442,
0.009744033217430115,
0.027491547167301178,
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-0.018393008038401604,
0.049413058906793594,
0.00924772396683693,
0.0016900061164051294,
0.0182544048875570... |
https://github.com/scikit-learn/scikit-learn/issues/25421 | [
"Documentation",
"Needs Reproducible Code"
] | There is no raise expectation
### Describe the issue linked to the documentation
There is no raise expectation in baysius model when the prediction's feature is not in the data trained, but just index out of range. But there's raise value error in fitting function
<img width="303" alt="image" src="https://user-image... | 25,421 | [
-0.05657890439033508,
0.017507852986454964,
0.0031628974247723818,
-0.04000825062394142,
0.08607601374387741,
0.0010378803126513958,
0.012087610550224781,
0.015261238440871239,
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0.04534458741545677,
0.024375613778829575,
0.02518400363624096,
0.00394081138074398,
0.0683... |
https://github.com/scikit-learn/scikit-learn/issues/25421 | [
"Documentation",
"Needs Reproducible Code"
] | There is no raise expectation
### Describe the issue linked to the documentation
There is no raise expectation in baysius model when the prediction's feature is not in the data trained, but just index out of range. But there's raise value error in fitting function
<img width="303" alt="image" src="https://user-image... | 25,421 | [
-0.04755709320306778,
-0.0005373310414142907,
-0.002752728993073106,
-0.02766391634941101,
0.09030011296272278,
0.0057379016652703285,
0.03415472060441971,
0.0033354482147842646,
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0.05004340410232544,
0.01352599635720253,
0.0016991253942251205,
0.017299054190516472,
0... |
https://github.com/scikit-learn/scikit-learn/issues/25421 | [
"Documentation",
"Needs Reproducible Code"
] | There is no raise expectation
### Describe the issue linked to the documentation
There is no raise expectation in baysius model when the prediction's feature is not in the data trained, but just index out of range. But there's raise value error in fitting function
<img width="303" alt="image" src="https://user-image... | 25,421 | [
-0.0450761616230011,
0.004337305668741465,
-0.00021113957336638123,
-0.028309926390647888,
0.09194441884756088,
0.006883774884045124,
0.03262355551123619,
0.007513385731726885,
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0.049394093453884125,
0.018504660576581955,
0.0012141901534050703,
0.014791268855333328,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/25419 | [
"New Feature",
"Needs Decision"
] | Add Warnings when trying to use estimator.fit() functions with Pandas objects with different indices.
### Describe the workflow you want to enable
Because sklearn uses numpy.array objects but accepts `pandas.DataFrame` / `pandas.Series` objects as input to its many functions, passing two pandas objects with differen... | 25,419 | [
-0.008941865526139736,
0.07959520816802979,
0.06111958622932434,
0.010940798558294773,
0.09355112910270691,
0.016284795477986336,
0.08120977133512497,
0.0024930404033511877,
0.0684347152709961,
-0.003518881509080529,
0.010315175168216228,
0.03279092535376549,
0.038800258189439774,
0.048314... |
https://github.com/scikit-learn/scikit-learn/issues/25419 | [
"New Feature",
"Needs Decision"
] | Add Warnings when trying to use estimator.fit() functions with Pandas objects with different indices.
### Describe the workflow you want to enable
Because sklearn uses numpy.array objects but accepts `pandas.DataFrame` / `pandas.Series` objects as input to its many functions, passing two pandas objects with differen... | 25,419 | [
-0.008941865526139736,
0.07959520816802979,
0.06111958622932434,
0.010940798558294773,
0.09355112910270691,
0.016284795477986336,
0.08120977133512497,
0.0024930404033511877,
0.0684347152709961,
-0.003518881509080529,
0.010315175168216228,
0.03279092535376549,
0.038800258189439774,
0.048314... |
https://github.com/scikit-learn/scikit-learn/issues/25419 | [
"New Feature",
"Needs Decision"
] | Add Warnings when trying to use estimator.fit() functions with Pandas objects with different indices.
### Describe the workflow you want to enable
Because sklearn uses numpy.array objects but accepts `pandas.DataFrame` / `pandas.Series` objects as input to its many functions, passing two pandas objects with differen... | 25,419 | [
-0.008941865526139736,
0.07959520816802979,
0.06111958622932434,
0.010940798558294773,
0.09355112910270691,
0.016284795477986336,
0.08120977133512497,
0.0024930404033511877,
0.0684347152709961,
-0.003518881509080529,
0.010315175168216228,
0.03279092535376549,
0.038800258189439774,
0.048314... |
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