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https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
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https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
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https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 | [
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https://github.com/scikit-learn/scikit-learn/issues/28574 | [
"New Feature",
"Moderate",
"help wanted",
"module:calibration"
] | Implement temperature scaling for (multi-class) calibration
### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `CalibratedClassifierCV`.
### Describe your proposed solution
Tempe... | 28,574 | [
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https://github.com/scikit-learn/scikit-learn/issues/28566 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8135543866)** (Mar 04, 2024)
COMMENT:
Fixed in #28570 | 28,566 | [
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https://github.com/scikit-learn/scikit-learn/issues/28565 | [
"Needs Triage"
] | How to solve the AttributeError: 'LabelPowerset' object has no attribute 'classes_'?
When I try to use LabelPowerset in scikit-multilearn, the code runs with GrieSearchCV with an error
```python
from skmultilearn.problem_transform import LabelPowerset
from sklearn.ensemble import RandomForestClassifier
from sklear... | 28,565 | [
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https://github.com/scikit-learn/scikit-learn/issues/28565 | [
"Needs Triage"
] | How to solve the AttributeError: 'LabelPowerset' object has no attribute 'classes_'?
When I try to use LabelPowerset in scikit-multilearn, the code runs with GrieSearchCV with an error
```python
from skmultilearn.problem_transform import LabelPowerset
from sklearn.ensemble import RandomForestClassifier
from sklear... | 28,565 | [
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https://github.com/scikit-learn/scikit-learn/issues/28565 | [
"Needs Triage"
] | How to solve the AttributeError: 'LabelPowerset' object has no attribute 'classes_'?
When I try to use LabelPowerset in scikit-multilearn, the code runs with GrieSearchCV with an error
```python
from skmultilearn.problem_transform import LabelPowerset
from sklearn.ensemble import RandomForestClassifier
from sklear... | 28,565 | [
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https://github.com/scikit-learn/scikit-learn/issues/28558 | [
"Bug"
] | Inaccurate Attribute Listing with dir(obj) for Classes Using available_if Conditional Method Decorator
### Describe the bug
When utilizing the `available_if` decorator from SciKit Learn to conditionally expose methods based on specific object state or conditions, we observe that the `dir(obj)` function may return i... | 28,558 | [
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https://github.com/scikit-learn/scikit-learn/issues/28558 | [
"Bug"
] | Inaccurate Attribute Listing with dir(obj) for Classes Using available_if Conditional Method Decorator
### Describe the bug
When utilizing the `available_if` decorator from SciKit Learn to conditionally expose methods based on specific object state or conditions, we observe that the `dir(obj)` function may return i... | 28,558 | [
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https://github.com/scikit-learn/scikit-learn/issues/28558 | [
"Bug"
] | Inaccurate Attribute Listing with dir(obj) for Classes Using available_if Conditional Method Decorator
### Describe the bug
When utilizing the `available_if` decorator from SciKit Learn to conditionally expose methods based on specific object state or conditions, we observe that the `dir(obj)` function may return i... | 28,558 | [
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https://github.com/scikit-learn/scikit-learn/issues/28558 | [
"Bug"
] | Inaccurate Attribute Listing with dir(obj) for Classes Using available_if Conditional Method Decorator
### Describe the bug
When utilizing the `available_if` decorator from SciKit Learn to conditionally expose methods based on specific object state or conditions, we observe that the `dir(obj)` function may return i... | 28,558 | [
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https://github.com/scikit-learn/scikit-learn/issues/28554 | [
"Documentation",
"Needs Triage"
] | Interactive code examples
### Describe the issue linked to the documentation
I think the `scikit-learn` docs would be even better if the code examples were interactive (while still being lighter and more reader-friendly than full-featured notebooks). Then people could change the code and see it reflected in the outpu... | 28,554 | [
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https://github.com/scikit-learn/scikit-learn/issues/28553 | [
"Bug",
"Needs Triage"
] | Unexpected NotFittedError for a fitted transformer passed to ColumnTransformer
### Describe the bug
Hi,
My ultimate goal is to use an already-trained classifier as a transformer in a new Scikit-learn Pipeline. The prediction of this model will be used as a feature in addition to other features (not used by the alr... | 28,553 | [
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https://github.com/scikit-learn/scikit-learn/issues/28553 | [
"Bug",
"Needs Triage"
] | Unexpected NotFittedError for a fitted transformer passed to ColumnTransformer
### Describe the bug
Hi,
My ultimate goal is to use an already-trained classifier as a transformer in a new Scikit-learn Pipeline. The prediction of this model will be used as a feature in addition to other features (not used by the alr... | 28,553 | [
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https://github.com/scikit-learn/scikit-learn/issues/28551 | [
"New Feature",
"Needs Decision - Include Feature"
] | Implement `SplineTransformer.inverse_transform`
### Describe the workflow you want to enable
I think it should be possible to implement a new method `inverse_transform` such that:
```python
import numpy as np
from sklearn.preprocessing import SplineTransformer
rng = np.random.default_rng(0)
X_train = rng.nor... | 28,551 | [
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https://github.com/scikit-learn/scikit-learn/issues/28549 | [
"Enhancement"
] | Make pipeline cache ignore parameter `verbose` of transformers
### Describe the workflow you want to enable
**Introduction**
sklearn's pipeline caches the output of transformers in the pipeline. The caching is based on a hash of the arguments of function `_fit_transform_one`. Unfortunately, the hash changes when *... | 28,549 | [
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https://github.com/scikit-learn/scikit-learn/issues/28549 | [
"Enhancement"
] | Make pipeline cache ignore parameter `verbose` of transformers
### Describe the workflow you want to enable
**Introduction**
sklearn's pipeline caches the output of transformers in the pipeline. The caching is based on a hash of the arguments of function `_fit_transform_one`. Unfortunately, the hash changes when *... | 28,549 | [
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https://github.com/scikit-learn/scikit-learn/issues/28549 | [
"Enhancement"
] | Make pipeline cache ignore parameter `verbose` of transformers
### Describe the workflow you want to enable
**Introduction**
sklearn's pipeline caches the output of transformers in the pipeline. The caching is based on a hash of the arguments of function `_fit_transform_one`. Unfortunately, the hash changes when *... | 28,549 | [
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https://github.com/scikit-learn/scikit-learn/issues/28548 | [
"New Feature"
] | Multiclass support in precision_recall_curve
### Describe the workflow you want to enable
i would like to add multiclass support to precision_recall_curve.
### Describe your proposed solution
- Add check in the beginning to check if multiclass or binary
- Add weighting argument for `micro`, `macro`, `weighted`
- ... | 28,548 | [
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https://github.com/scikit-learn/scikit-learn/issues/28548 | [
"New Feature"
] | Multiclass support in precision_recall_curve
### Describe the workflow you want to enable
i would like to add multiclass support to precision_recall_curve.
### Describe your proposed solution
- Add check in the beginning to check if multiclass or binary
- Add weighting argument for `micro`, `macro`, `weighted`
- ... | 28,548 | [
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https://github.com/scikit-learn/scikit-learn/issues/28548 | [
"New Feature"
] | Multiclass support in precision_recall_curve
### Describe the workflow you want to enable
i would like to add multiclass support to precision_recall_curve.
### Describe your proposed solution
- Add check in the beginning to check if multiclass or binary
- Add weighting argument for `micro`, `macro`, `weighted`
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https://github.com/scikit-learn/scikit-learn/issues/28548 | [
"New Feature"
] | Multiclass support in precision_recall_curve
### Describe the workflow you want to enable
i would like to add multiclass support to precision_recall_curve.
### Describe your proposed solution
- Add check in the beginning to check if multiclass or binary
- Add weighting argument for `micro`, `macro`, `weighted`
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https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
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https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
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https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
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https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
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https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
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0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
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0.013876006938517094,
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0.05919710919260979,
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-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28547 | [
"Needs Decision"
] | Localization of scikit-learn website content.
Hi,
I work for Quansight Labs and am helping set things up for translation of main project website content for core projects in the Scientific Python ecosystem. This work is supported by the [Scientific Python Community & Communications Infrastructure grant](https://sci... | 28,547 | [
0.07033583521842957,
0.056293003261089325,
-0.0023775496520102024,
0.013876006938517094,
0.01002336386591196,
0.01957714557647705,
0.05919710919260979,
0.0018616345478221774,
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-0.007819835096597672,
-0.03975345194339752,
-0.008690140210092068,
-0.004017984494566917,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28536 | [
"Enhancement"
] | ValidationCurveDisplay can't handle categorical/string parameters
### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `ValidationCurveDisplay` implementation. For numerical param... | 28,536 | [
0.004386823158711195,
0.011591985821723938,
0.02792605571448803,
-0.005306856706738472,
0.13829629123210907,
-0.007503875996917486,
0.009755224920809269,
0.061768706887960434,
-0.034391216933727264,
-0.01880231313407421,
0.03791544958949089,
0.04066770151257515,
-0.005546382628381252,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28535 | [
"New Feature"
] | Add metrics.gini_index_score()
### Describe the workflow you want to enable
The [Gini index](https://en.wikipedia.org/wiki/Gini_coefficient) metric (that is based on [Lorenz curve](https://en.wikipedia.org/wiki/Lorenz_curve)) is widely used in the insurance industry for evaluating the performance (ranking power) of... | 28,535 | [
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0.08527130633592606,
0.04402114450931549,
-0.0035478193312883377,
0.03915238007903099,
0.04055676981806755,
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0.00491633266210556,
0.010826476849615574,
0.024678900837898254,
0.025596333667635918,
0.017368057742714882,
-0.011076509021222591,
0.094... |
https://github.com/scikit-learn/scikit-learn/issues/28535 | [
"New Feature"
] | Add metrics.gini_index_score()
### Describe the workflow you want to enable
The [Gini index](https://en.wikipedia.org/wiki/Gini_coefficient) metric (that is based on [Lorenz curve](https://en.wikipedia.org/wiki/Lorenz_curve)) is widely used in the insurance industry for evaluating the performance (ranking power) of... | 28,535 | [
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0.07885570079088211,
0.03378469869494438,
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0.03222300484776497,
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0.01029315683990717,
0.01087998691946268,
0.009183193556964397,
0.030849488452076912,
0.01961652934551239,
-0.011921604163944721,
0.0900040... |
https://github.com/scikit-learn/scikit-learn/issues/28535 | [
"New Feature"
] | Add metrics.gini_index_score()
### Describe the workflow you want to enable
The [Gini index](https://en.wikipedia.org/wiki/Gini_coefficient) metric (that is based on [Lorenz curve](https://en.wikipedia.org/wiki/Lorenz_curve)) is widely used in the insurance industry for evaluating the performance (ranking power) of... | 28,535 | [
-0.03943832963705063,
0.08990038186311722,
0.041110727936029434,
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0.03997306153178215,
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0.01715383119881153,
0.0196146909147501,
0.026328830048441887,
0.02651190385222435,
-0.014008881524205208,
0.108400... |
https://github.com/scikit-learn/scikit-learn/issues/28535 | [
"New Feature"
] | Add metrics.gini_index_score()
### Describe the workflow you want to enable
The [Gini index](https://en.wikipedia.org/wiki/Gini_coefficient) metric (that is based on [Lorenz curve](https://en.wikipedia.org/wiki/Lorenz_curve)) is widely used in the insurance industry for evaluating the performance (ranking power) of... | 28,535 | [
-0.039682019501924515,
0.07877194136381149,
0.04356919229030609,
-0.003618850838392973,
0.040760450065135956,
0.04293770715594292,
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0.0025227342266589403,
0.015214820392429829,
0.019925782456994057,
0.020990191027522087,
0.0234724972397089,
-0.012818042188882828,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/28535 | [
"New Feature"
] | Add metrics.gini_index_score()
### Describe the workflow you want to enable
The [Gini index](https://en.wikipedia.org/wiki/Gini_coefficient) metric (that is based on [Lorenz curve](https://en.wikipedia.org/wiki/Lorenz_curve)) is widely used in the insurance industry for evaluating the performance (ranking power) of... | 28,535 | [
-0.04174329340457916,
0.0750453844666481,
0.0436420664191246,
-0.004142942372709513,
0.04206356033682823,
0.043602440506219864,
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0.0005851563764736056,
0.01685227081179619,
0.018049858510494232,
0.020581426098942757,
0.025288771837949753,
-0.015316534787416458,
0.09917... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.0014186894986778498,
0.01574821025133133,
0.03876228258013725,
0.005491222254931927,
0.01028105802834034,
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0.09948935359716415,
0.0033308779820799828,
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0.009328151121735573,
0.03830857202410698,
0.0051237838342785835,
0.040900327265262604,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.002775137312710285,
0.02059880457818508,
0.03462386131286621,
0.006174742244184017,
0.010206642560660839,
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0.08532954007387161,
0.0013251925120130181,
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0.012029515579342842,
0.03260226175189018,
-0.004807297606021166,
0.0399077869951725,
-0.066... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.002503737574443221,
0.0042685470543801785,
0.038504768162965775,
0.0026059451047331095,
-0.0007704081363044679,
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0.1022074893116951,
0.0008880887762643397,
-0.035520344972610474,
0.008390107192099094,
0.0453462116420269,
0.00934317335486412,
0.04269811138510704,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.004705785773694515,
0.02303590252995491,
0.03276793658733368,
0.0056540765799582005,
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0.1036548987030983,
0.013566439971327782,
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0.010527287609875202,
0.03892173618078232,
0.010320113971829414,
0.03422123193740845,
-0.042... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.01041717641055584,
0.017956068739295006,
0.04343770444393158,
0.011928095482289791,
0.003685281379148364,
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0.1035982072353363,
0.01754589006304741,
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0.023455394431948662,
0.029043052345514297,
0.007212969474494457,
0.03269961476325989,
-0.05433... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.010258953087031841,
0.01901005022227764,
0.042960748076438904,
0.013021346181631088,
0.00165403017308563,
-0.0014074996579438448,
0.10353897511959076,
0.017148854210972786,
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0.02343577891588211,
0.029282329604029655,
0.007310270797461271,
0.03463675454258919,
-0.053... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
-0.002110859612002969,
0.0002524012525100261,
0.04026753082871437,
0.008894973434507847,
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0.10232798010110855,
0.0063330125994980335,
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0.012046809308230877,
0.03498338535428047,
0.008439241908490658,
0.02991177700459957,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28534 | [
"Bug",
"Documentation"
] | Two different versions for weighted lorenz curve calculation in the examples
### Describe the issue linked to the documentation
There are 2 definitions of (weighted) `lorenz_curve()` functions [here](https://scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html) and [here]... | 28,534 | [
0.005940933711826801,
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0.038897451013326645,
0.007543187588453293,
0.0008402380044572055,
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0.09866555780172348,
0.0009994147112593055,
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0.00803063903003931,
0.0408356599509716,
0.008425441570580006,
0.041249580681324005,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28530 | [
"Bug",
"Build / CI",
"Needs Reproducible Code"
] | BUILD gcc14 cannot compile scikit-learn
### Describe the bug
When building 1.3.2+ with Fedora Rawhide at OBS, it is now failed with below error message (see https://build.opensuse.org/package/live_build_log/home:alvistack/scikit-learn-scikit-learn-1.4.1+post1/Fedora_Rawhide/x86_64):
```
running build_ext
buildin... | 28,530 | [
0.009998619556427002,
0.008294811472296715,
-0.016040241345763206,
-0.03792210668325424,
0.04889073222875595,
0.042266491800546646,
-0.007630279753357172,
0.08456919342279434,
0.0288483165204525,
-0.021251682192087173,
0.009992484003305435,
0.0518469475209713,
0.00754938367754221,
0.004150... |
https://github.com/scikit-learn/scikit-learn/issues/28527 | [
"Needs Triage"
] | ⚠️ CI failed on linux_aarch64_test ⚠️
**CI failed on [linux_aarch64_test](https://cirrus-ci.com/build/6707594421600256)** (Feb 25, 2024)
COMMENT:
Addressed in #28524 | 28,527 | [
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0.017785541713237762,
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0.020014479756355286,
0.03057022951543331,
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0.041760366410017014,
0.0542074590921402,
0.010251282714307308,
0.027763396501541138,
0.05009... |
https://github.com/scikit-learn/scikit-learn/issues/28526 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/6707594421600256)** (Feb 25, 2024)
COMMENT:
Addressed in #28524 | 28,526 | [
-0.017204586416482925,
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0.04086456075310707,
0.020637458190321922,
0.015529594384133816,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/28525 | [
"Bug",
"Needs Triage"
] | Problem of get_params attribute in skleran0.20.3
### Describe the bug
Greetings
I'm using Windows 7 and Orange 3.20.1 with sklearn 0.20.3 . I have generated some optimised ann models without knowing that this version of sklearn seems not to support get_params attribute and I have faced difficulties in extracting the... | 28,525 | [
0.022236332297325134,
0.02458270639181137,
0.017362773418426514,
0.025953954085707664,
0.06368719041347504,
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0.024020390585064888,
0.02170148305594921,
0.04422466456890106,
-0.023504668846726418,
0.012322268448770046,
0.14066539704799652,
-0.002996929921209812,
-0.036... |
https://github.com/scikit-learn/scikit-learn/issues/28523 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI is still failing on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/8043379756)** (Feb 26, 2024)
COMMENT:
Addressed in #28524 | 28,523 | [
-0.04766084626317024,
0.02251879870891571,
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-0.015390835702419281,
0.012083355337381363,
0.020947042852640152,
0.016940006986260414,
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0.01742911897599697,
0.07805807888507843,
0.04658813029527664,
-0.01476069912314415,
0.0649035... |
https://github.com/scikit-learn/scikit-learn/issues/28522 | [
"Needs Triage"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204 ⚠️
**CI is still failing on [Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=64462&view=logs&j=f71949a9-f9d9-549e-cf45-2e99c7b412d1)** (Feb 26, 2024)
- tes... | 28,522 | [
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0.03064628504216671,
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0.043743234127759933,
0.03463822230696678,
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0.031554918736219406,
0.030851414427161217,
0.07619097083806992,
0.013017835095524788,
0.0862... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.011835487559437752,
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0.029258692637085915,
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0.015889247879385948,
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0.036015093326568604,
0.00001141844768426381,
0.059893373399972916,
0.014398560859262943,
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0.05769617110490799,
-0.040106773376464844,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.009310033172369003,
0.16122236847877502,
0.043287694454193115,
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0.026541300117969513,
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0.02633858472108841,
0.0030993465334177017,
0.07948947697877884,
-0.02561352774500847,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.012581896036863327,
0.16448736190795898,
0.0383419543504715,
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0.02061856910586357,
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0.024799998849630356,
0.00011723336501745507,
0.057619836181402206,
0.029555469751358032,
-0.0027297968044877052,
0.05688970163464546,
-0.03677701577544212,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
0.005444132722914219,
0.13957874476909637,
0.054006755352020264,
-0.003226188011467457,
0.02224024012684822,
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0.02643757127225399,
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0.09201563149690628,
0.028642969205975533,
0.001865840284153819,
0.06635504961013794,
-0.01785038784146309,
0.0565... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.000499107176437974,
0.16283893585205078,
0.041551075875759125,
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0.03174589201807976,
0.006633301265537739,
0.08264154940843582,
0.026820268481969833,
0.023377368226647377,
0.06345319747924805,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
0.0028227681759744883,
0.16828247904777527,
0.046317555010318756,
0.002416732255369425,
0.027178755030035973,
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0.0721578598022461,
0.015972686931490898,
0.018445298075675964,
0.08183184266090393,
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0.0763... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
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0.17873501777648926,
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0.04239417240023613,
0.01632029004395008,
0.026443760842084885,
0.057623978704214096,
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0.07... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.009781823493540287,
0.12644536793231964,
0.036536622792482376,
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0.03391621261835098,
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0.03481787443161011,
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0.05595334991812706,
0.025106782093644142,
0.006347193848341703,
0.019867509603500366,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28520 | [
"New Feature"
] | Create estimators for inference only
### Describe the workflow you want to enable
Allow a trained estimator to be converted into a form suitable only for predict/transform type operations and not fitting. In many cases, the estimator could be made more compact or performant as part of this transformation.
For ins... | 28,520 | [
-0.010631307028234005,
0.17323528230190277,
0.03558098152279854,
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0.013629421591758728,
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0.028280852362513542,
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0.04735485836863518,
0.026912420988082886,
-0.002308420604094863,
0.057741958647966385,
-0.0287665706127882,
0.03... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
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0.017742052674293518,
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0.041580017656087875,
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0.012751685455441475,
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-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
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0.012751685455441475,
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-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
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0.017742052674293518,
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0.041580017656087875,
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-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
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0.041580017656087875,
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-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
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-0.0979740172624588,
0.041580017656087875,
-0.035376571118831635,
-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
-0.026243159547448158,
-0.0979740172624588,
0.041580017656087875,
-0.035376571118831635,
-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
-0.026243159547448158,
-0.0979740172624588,
0.041580017656087875,
-0.035376571118831635,
-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
-0.026243159547448158,
-0.0979740172624588,
0.041580017656087875,
-0.035376571118831635,
-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28507 | [
"New Feature",
"Needs Decision"
] | Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
### Describe the workflow you want to enable
Currently, random/extra forests can bootstrap sample the data such that `max_samples \in (0.0, 1.0]`. This enables an out-of-bag sample estimate in forests.
However, th... | 28,507 | [
0.02829122543334961,
0.006970429327338934,
0.03932630643248558,
-0.011892693117260933,
0.017742052674293518,
-0.026243159547448158,
-0.0979740172624588,
0.041580017656087875,
-0.035376571118831635,
-0.011039488948881626,
0.012751685455441475,
-0.006722109857946634,
-0.060669444501399994,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28492 | [
"New Feature"
] | Include a lower bound attribute of BaseMixture
### Describe the workflow you want to enable
Currently, there exists a `lower_bound_` attribute in the `fit_predict` method of `BaseMixture`. However, the entire sequence of lower bounds is not accessible, which makes a convergence analysis more difficult to a user.
#... | 28,492 | [
-0.08259527385234833,
0.025128470733761787,
-0.0031603528186678886,
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0.03628420829772949,
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0.01745510846376419,
0.03734953701496124,
0.0036443674471229315,
0.027097009122371674,
0.018758239224553108,
-0.021947016939520836,
-0.047210693359375,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28492 | [
"New Feature"
] | Include a lower bound attribute of BaseMixture
### Describe the workflow you want to enable
Currently, there exists a `lower_bound_` attribute in the `fit_predict` method of `BaseMixture`. However, the entire sequence of lower bounds is not accessible, which makes a convergence analysis more difficult to a user.
#... | 28,492 | [
-0.06384455412626266,
0.03550521284341812,
0.006850882433354855,
0.001323146279901266,
0.040758196264505386,
-0.024047482758760452,
0.003811578033491969,
0.04582010209560394,
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0.0425155907869339,
-0.020195746794342995,
0.0020551178604364395,
-0.027404410764575005,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28492 | [
"New Feature"
] | Include a lower bound attribute of BaseMixture
### Describe the workflow you want to enable
Currently, there exists a `lower_bound_` attribute in the `fit_predict` method of `BaseMixture`. However, the entire sequence of lower bounds is not accessible, which makes a convergence analysis more difficult to a user.
#... | 28,492 | [
-0.08360889554023743,
0.031037183478474617,
-0.006661636754870415,
-0.03586200997233391,
0.035217564553022385,
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0.023876802995800972,
0.034435197710990906,
0.0008606176124885678,
0.029243791475892067,
0.022224126383662224,
-0.024226948618888855,
-0.04977031424641609,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28488 | [
"Bug"
] | Improve "polars" integration (error, warning & linting examples)
### Describe the workflow you want to enable
using polars data (DataFrame, Series) is already supported in many places which is awesome, thank you!!
But in many places there are still
- errors / crashes -> required conversion to numpy/pandas
- wa... | 28,488 | [
-0.01873449608683586,
0.02942941151559353,
0.02837158739566803,
-0.019777651876211166,
0.09858965873718262,
0.034109000116586685,
0.014300426468253136,
-0.010408501140773296,
0.04251778498291969,
-0.01189010962843895,
0.010719138197600842,
0.07711973041296005,
0.023381663486361504,
0.07228... |
https://github.com/scikit-learn/scikit-learn/issues/28488 | [
"Bug"
] | Improve "polars" integration (error, warning & linting examples)
### Describe the workflow you want to enable
using polars data (DataFrame, Series) is already supported in many places which is awesome, thank you!!
But in many places there are still
- errors / crashes -> required conversion to numpy/pandas
- wa... | 28,488 | [
-0.01873449608683586,
0.02942941151559353,
0.02837158739566803,
-0.019777651876211166,
0.09858965873718262,
0.034109000116586685,
0.014300426468253136,
-0.010408501140773296,
0.04251778498291969,
-0.01189010962843895,
0.010719138197600842,
0.07711973041296005,
0.023381663486361504,
0.07228... |
https://github.com/scikit-learn/scikit-learn/issues/28488 | [
"Bug"
] | Improve "polars" integration (error, warning & linting examples)
### Describe the workflow you want to enable
using polars data (DataFrame, Series) is already supported in many places which is awesome, thank you!!
But in many places there are still
- errors / crashes -> required conversion to numpy/pandas
- wa... | 28,488 | [
-0.01873449608683586,
0.02942941151559353,
0.02837158739566803,
-0.019777651876211166,
0.09858965873718262,
0.034109000116586685,
0.014300426468253136,
-0.010408501140773296,
0.04251778498291969,
-0.01189010962843895,
0.010719138197600842,
0.07711973041296005,
0.023381663486361504,
0.07228... |
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