html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k |
|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/24000 | [
"New Feature",
"module:ensemble",
"module:tree",
"cython",
"Needs Decision - Include Feature",
"Refactor"
] | [RFC] Modularize the tree class in both Python and Cython to enable easy extensions
### Describe the workflow you want to enable
As we are waiting for a reviewer to review #22754 , @thomasjpfan suggested we just move forward with our goals of creating a package of more exotic tree splits. E.g. https://arxiv.org/abs/1... | 24,000 |
https://github.com/scikit-learn/scikit-learn/issues/23997 | [
"Blocker",
"module:decomposition"
] | Remove `sign_flip` from FastICA
From https://github.com/scikit-learn/scikit-learn/pull/23935#discussion_r922842213, we may want to remove `sign_flip` from `FastICA`:
https://github.com/scikit-learn/scikit-learn/blob/f0af898de5bfa93916b659438b4cf0b86fffd974/sklearn/decomposition/_fastica.py#L264
This parameter ... | 23,997 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23988 | [
"Bug"
] | birch clustering does not work with version 1.1.1
### Describe the bug
Birch clustering does not work for version 1.1.1 but does work for version 0.24.1. This issue was also documented on StackOverflow [here](https://stackoverflow.com/questions/72560400/error-running-birch-from-scikit-learn-in-anaconda-environment)... | 23,988 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23983 | [
"New Feature",
"module:metrics",
"Needs Decision - Include Feature"
] | Add option to RocCurveDisplay to display the average of different length ROC curves
### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in each fold. I would like to add an opt... | 23,983 |
https://github.com/scikit-learn/scikit-learn/issues/23976 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44954&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Jul 24, 2022)
Unable to find junit file. Please see link for details.
COMMENT:
## CI is no l... | 23,976 |
https://github.com/scikit-learn/scikit-learn/issues/23976 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly_PyPy.pypy3 ⚠️
**CI is still failing on [Linux_Nightly_PyPy.pypy3](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44954&view=logs&j=0b16f832-29d6-5b92-1c23-eb006f606a66)** (Jul 24, 2022)
Unable to find junit file. Please see link for details.
COMMENT:
Closing since... | 23,976 |
https://github.com/scikit-learn/scikit-learn/issues/23970 | [
"module:linear_model",
"Needs Investigation"
] | Test Failed on CICD Pipeline with varied LinearRegression predictions
- Ref: https://stackoverflow.com/questions/73067554/test-failed-on-cicd-pipeline-with-varied-linearregression-predictions
We have a very simple use case, when we take some data `X`, `y` and fir it to `LinearRegression()` like below. and try to pr... | 23,970 |
https://github.com/scikit-learn/scikit-learn/issues/23970 | [
"module:linear_model",
"Needs Investigation"
] | Test Failed on CICD Pipeline with varied LinearRegression predictions
- Ref: https://stackoverflow.com/questions/73067554/test-failed-on-cicd-pipeline-with-varied-linearregression-predictions
We have a very simple use case, when we take some data `X`, `y` and fir it to `LinearRegression()` like below. and try to pr... | 23,970 |
https://github.com/scikit-learn/scikit-learn/issues/23970 | [
"module:linear_model",
"Needs Investigation"
] | Test Failed on CICD Pipeline with varied LinearRegression predictions
- Ref: https://stackoverflow.com/questions/73067554/test-failed-on-cicd-pipeline-with-varied-linearregression-predictions
We have a very simple use case, when we take some data `X`, `y` and fir it to `LinearRegression()` like below. and try to pr... | 23,970 |
https://github.com/scikit-learn/scikit-learn/issues/23970 | [
"module:linear_model",
"Needs Investigation"
] | Test Failed on CICD Pipeline with varied LinearRegression predictions
- Ref: https://stackoverflow.com/questions/73067554/test-failed-on-cicd-pipeline-with-varied-linearregression-predictions
We have a very simple use case, when we take some data `X`, `y` and fir it to `LinearRegression()` like below. and try to pr... | 23,970 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23967 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Unsupervised K-Means Clustering Algorithm
### Describe the workflow you want to enable
"the k-means algorithm and its extensions are always influenced by initializations with a necessary number of clusters a priori. That is, the k-means algorithm is not exactly an unsupervised clustering method. In this paper, we c... | 23,967 |
https://github.com/scikit-learn/scikit-learn/issues/23963 | [
"Bug",
"module:preprocessing",
"Needs Investigation"
] | MinMaxScaler on Loaded DataFrame fails with TypeError : NoneType
### Describe the bug
Hey, I've been re-running my code on a different machine and I realized my old version was 0.24.1 but in the latest version of 1.02 , in the [_handle_zeros_in_scale](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pre... | 23,963 |
https://github.com/scikit-learn/scikit-learn/issues/23963 | [
"Bug",
"module:preprocessing",
"Needs Investigation"
] | MinMaxScaler on Loaded DataFrame fails with TypeError : NoneType
### Describe the bug
Hey, I've been re-running my code on a different machine and I realized my old version was 0.24.1 but in the latest version of 1.02 , in the [_handle_zeros_in_scale](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pre... | 23,963 |
https://github.com/scikit-learn/scikit-learn/issues/23963 | [
"Bug",
"module:preprocessing",
"Needs Investigation"
] | MinMaxScaler on Loaded DataFrame fails with TypeError : NoneType
### Describe the bug
Hey, I've been re-running my code on a different machine and I realized my old version was 0.24.1 but in the latest version of 1.02 , in the [_handle_zeros_in_scale](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pre... | 23,963 |
https://github.com/scikit-learn/scikit-learn/issues/23963 | [
"Bug",
"module:preprocessing",
"Needs Investigation"
] | MinMaxScaler on Loaded DataFrame fails with TypeError : NoneType
### Describe the bug
Hey, I've been re-running my code on a different machine and I realized my old version was 0.24.1 but in the latest version of 1.02 , in the [_handle_zeros_in_scale](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pre... | 23,963 |
https://github.com/scikit-learn/scikit-learn/issues/23939 | [
"New Feature",
"module:naive_bayes",
"Needs Decision - Include Feature"
] | Sparse Bernoulli Naive Bayes
### Describe the workflow you want to enable
The idea seems simple enough as described in this paper: https://arxiv.org/pdf/1905.09884.pdf
> Due to its linear complexity, naive Bayes classification remains an attractive su-
> pervised learning method, especially in very large-scale ... | 23,939 |
https://github.com/scikit-learn/scikit-learn/issues/23939 | [
"New Feature",
"module:naive_bayes",
"Needs Decision - Include Feature"
] | Sparse Bernoulli Naive Bayes
### Describe the workflow you want to enable
The idea seems simple enough as described in this paper: https://arxiv.org/pdf/1905.09884.pdf
> Due to its linear complexity, naive Bayes classification remains an attractive su-
> pervised learning method, especially in very large-scale ... | 23,939 |
https://github.com/scikit-learn/scikit-learn/issues/23933 | [
"New Feature"
] | SLEP006: mypy can't find `set_{method}_request` methods
`set_{method}_request` methods are added to all estimators inheriting from `BaseEstimator`, around this part of the code:
https://github.com/scikit-learn/scikit-learn/blob/e9f5676c5ed025d0e71c0a3970d8544a25075933/sklearn/utils/_metadata_requests.py#L1004-L1013... | 23,933 |
https://github.com/scikit-learn/scikit-learn/issues/23932 | [
"Needs Triage"
] | Inconsistence between components in `PCA` and `SparsePCA`
The components provided by `PCA` and `SparsePCA` are not consistent when we explicitly do not impose any sparsity constraint in `SparsePCA`. It is only a sign flipped meaning that this might not be dramatic.
```python
import numpy as np
from sklearn.decomp... | 23,932 |
https://github.com/scikit-learn/scikit-learn/issues/23932 | [
"Needs Triage"
] | Inconsistence between components in `PCA` and `SparsePCA`
The components provided by `PCA` and `SparsePCA` are not consistent when we explicitly do not impose any sparsity constraint in `SparsePCA`. It is only a sign flipped meaning that this might not be dramatic.
```python
import numpy as np
from sklearn.decomp... | 23,932 |
https://github.com/scikit-learn/scikit-learn/issues/23930 | [
"Bug",
"Build / CI"
] | scikit-learn tests segfault on armel
### Describe the bug
Hi,
scikit-learn version 1.1.1 seems to segfault on armel architecture. Full build log [here](https://buildd.debian.org/status/fetch.php?pkg=scikit-learn&arch=armel&ver=1.1.1-1&stamp=1653343638&raw=0)
### Steps/Code to Reproduce
Normally running testsuite... | 23,930 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23928 | [
"API",
"RFC"
] | RFC SLEP006: verbose vs non-verbose declaration in meta-estimator
As the proposal and the implementation of meta-estimator routing (SLEP006) stands, if the user wants to use `sample_weight`, they need to be quite verbose in how they declare the estimators. Taking `AdaBoostClassifier` as an example, and imagining if `A... | 23,928 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23923 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | TimeSeriesSplit Needs a version that allows users to specify initial time
### Describe the workflow you want to enable
I would like to add a new `TimeSeriesSplit` [link](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html) called `TimeSeriesRollingOriginSplit`. In the curren... | 23,923 |
https://github.com/scikit-learn/scikit-learn/issues/23922 | [
"Documentation",
"module:model_selection"
] | GroupKFold: "The same group will not appear in two different folds..."
https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/model_selection/_split.py#L456-L457
Hi, just was wondering what exactly was meant by the above lines in sklearn's docs for GroupKFold. Based on th... | 23,922 |
https://github.com/scikit-learn/scikit-learn/issues/23922 | [
"Documentation",
"module:model_selection"
] | GroupKFold: "The same group will not appear in two different folds..."
https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/model_selection/_split.py#L456-L457
Hi, just was wondering what exactly was meant by the above lines in sklearn's docs for GroupKFold. Based on th... | 23,922 |
https://github.com/scikit-learn/scikit-learn/issues/23922 | [
"Documentation",
"module:model_selection"
] | GroupKFold: "The same group will not appear in two different folds..."
https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/model_selection/_split.py#L456-L457
Hi, just was wondering what exactly was meant by the above lines in sklearn's docs for GroupKFold. Based on th... | 23,922 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
https://github.com/scikit-learn/scikit-learn/issues/23920 | [
"API",
"RFC"
] | RFC SLEP006: allow users to enable a "strict" mode in metadata routing
ref: https://github.com/scikit-learn/scikit-learn/pull/22986/files#r862344847
Along the way we've had discussions on whether we should raise if a metadata is requested but not provided.
Mirroring the existing behavior, SLEP006 and the impleme... | 23,920 |
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