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/23130 | [
"Bug",
"module:metrics"
] | Macro Average F1 Score Computation Bug
### Describe the bug
The current algorithm computes labels with no support:
### Steps/Code to Reproduce
```
precision recall f1-score support
archive 0.00 0.00 0.00 0
high 0.35 0.34 0.34 1400
... | 23,130 |
https://github.com/scikit-learn/scikit-learn/issues/23130 | [
"Bug",
"module:metrics"
] | Macro Average F1 Score Computation Bug
### Describe the bug
The current algorithm computes labels with no support:
### Steps/Code to Reproduce
```
precision recall f1-score support
archive 0.00 0.00 0.00 0
high 0.35 0.34 0.34 1400
... | 23,130 |
https://github.com/scikit-learn/scikit-learn/issues/23130 | [
"Bug",
"module:metrics"
] | Macro Average F1 Score Computation Bug
### Describe the bug
The current algorithm computes labels with no support:
### Steps/Code to Reproduce
```
precision recall f1-score support
archive 0.00 0.00 0.00 0
high 0.35 0.34 0.34 1400
... | 23,130 |
https://github.com/scikit-learn/scikit-learn/issues/23130 | [
"Bug",
"module:metrics"
] | Macro Average F1 Score Computation Bug
### Describe the bug
The current algorithm computes labels with no support:
### Steps/Code to Reproduce
```
precision recall f1-score support
archive 0.00 0.00 0.00 0
high 0.35 0.34 0.34 1400
... | 23,130 |
https://github.com/scikit-learn/scikit-learn/issues/23125 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | GridSearchCV scoring behavior on weighted metrics, such as Balanced Accuracy
### Describe the workflow you want to enable
As a user who specify weighted metrics/scoring such as balanced accuracy, I would like the scoring `GridSearchCV` uses for optimising and `best_score_` to be weighted as well. Based on current doc... | 23,125 |
https://github.com/scikit-learn/scikit-learn/issues/23125 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | GridSearchCV scoring behavior on weighted metrics, such as Balanced Accuracy
### Describe the workflow you want to enable
As a user who specify weighted metrics/scoring such as balanced accuracy, I would like the scoring `GridSearchCV` uses for optimising and `best_score_` to be weighted as well. Based on current doc... | 23,125 |
https://github.com/scikit-learn/scikit-learn/issues/23125 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | GridSearchCV scoring behavior on weighted metrics, such as Balanced Accuracy
### Describe the workflow you want to enable
As a user who specify weighted metrics/scoring such as balanced accuracy, I would like the scoring `GridSearchCV` uses for optimising and `best_score_` to be weighted as well. Based on current doc... | 23,125 |
https://github.com/scikit-learn/scikit-learn/issues/23125 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | GridSearchCV scoring behavior on weighted metrics, such as Balanced Accuracy
### Describe the workflow you want to enable
As a user who specify weighted metrics/scoring such as balanced accuracy, I would like the scoring `GridSearchCV` uses for optimising and `best_score_` to be weighted as well. Based on current doc... | 23,125 |
https://github.com/scikit-learn/scikit-learn/issues/23125 | [
"New Feature",
"module:model_selection",
"Needs Decision - Include Feature"
] | GridSearchCV scoring behavior on weighted metrics, such as Balanced Accuracy
### Describe the workflow you want to enable
As a user who specify weighted metrics/scoring such as balanced accuracy, I would like the scoring `GridSearchCV` uses for optimising and `best_score_` to be weighted as well. Based on current doc... | 23,125 |
https://github.com/scikit-learn/scikit-learn/issues/23119 | [
"New Feature",
"Needs Triage"
] | Add expected calibration error (ECE) functionality to sklearn.
### Describe the workflow you want to enable
Measuring calibration error in deep learning is a big issue now-a-days. However, we do not find any suitable package available to measure the calibration error. I would like to add a function that can measure... | 23,119 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23112 | [
"Bug",
"module:pipeline"
] | Cache final transformer in pipeline with memory setting
### Describe the bug
When setting the `memory` parameter of a transformer `Pipeline` (i.e., one whose last step is a transformer), the final transformer is not cached.
Discovered at https://stackoverflow.com/q/71812869/10495893.
### Steps/Code to Reproduce
... | 23,112 |
https://github.com/scikit-learn/scikit-learn/issues/23109 | [
"Bug",
"module:multioutput"
] | RegressionChain does not accept nans, when base_estimator does
### Describe the bug
XGBRegressors accepts nan values. Which is defined in the tag `force_all_finite='allow-nan`
But if define
```py
RegressorChain(XGBRegressor())
```
Then raises the error
```
File "C:\\lib\site-packages\sklearn\multioutput.py", ... | 23,109 |
https://github.com/scikit-learn/scikit-learn/issues/23109 | [
"Bug",
"module:multioutput"
] | RegressionChain does not accept nans, when base_estimator does
### Describe the bug
XGBRegressors accepts nan values. Which is defined in the tag `force_all_finite='allow-nan`
But if define
```py
RegressorChain(XGBRegressor())
```
Then raises the error
```
File "C:\\lib\site-packages\sklearn\multioutput.py", ... | 23,109 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23108 | [
"New Feature",
"module:model_selection"
] | Add "pre_dispatch" parameter to HalvingGridSearchCV
### Describe the workflow you want to enable
In base GridSearchCV it is possible to set a pre_dispatch parameter, so that RAM usage by new jobs is limited.
I would like to do the same thing for the newer and arguably better versions of gridsearch.
### Describe you... | 23,108 |
https://github.com/scikit-learn/scikit-learn/issues/23107 | [
"Bug",
"module:feature_selection"
] | `SequentialFeatureSelector` is not passing pandas df to estimator/pipeline
### Describe the bug
`SequentialFeatureSelector` cannot be used with a pipeline that expects a pandas dataframe (e.g. a one containing a `ColumnTransformer`) as an input.
At the same time the same pipeline can be used in `cross_val_score`... | 23,107 |
https://github.com/scikit-learn/scikit-learn/issues/23107 | [
"Bug",
"module:feature_selection"
] | `SequentialFeatureSelector` is not passing pandas df to estimator/pipeline
### Describe the bug
`SequentialFeatureSelector` cannot be used with a pipeline that expects a pandas dataframe (e.g. a one containing a `ColumnTransformer`) as an input.
At the same time the same pipeline can be used in `cross_val_score`... | 23,107 |
https://github.com/scikit-learn/scikit-learn/issues/23096 | [
"Bug"
] | When import sklearn, there is an AttributeError
### Describe the bug
When I wrote some code as follows and click run, it was broken.
`import sklearn`
Python version: `3.8.2`
Scikit-learn version: `1.0.2`
Error Information:
```
Traceback (most recent call last):
File "/data/user/0/ru.iiec.pydroid3/f... | 23,096 |
https://github.com/scikit-learn/scikit-learn/issues/23096 | [
"Bug"
] | When import sklearn, there is an AttributeError
### Describe the bug
When I wrote some code as follows and click run, it was broken.
`import sklearn`
Python version: `3.8.2`
Scikit-learn version: `1.0.2`
Error Information:
```
Traceback (most recent call last):
File "/data/user/0/ru.iiec.pydroid3/f... | 23,096 |
https://github.com/scikit-learn/scikit-learn/issues/23096 | [
"Bug"
] | When import sklearn, there is an AttributeError
### Describe the bug
When I wrote some code as follows and click run, it was broken.
`import sklearn`
Python version: `3.8.2`
Scikit-learn version: `1.0.2`
Error Information:
```
Traceback (most recent call last):
File "/data/user/0/ru.iiec.pydroid3/f... | 23,096 |
https://github.com/scikit-learn/scikit-learn/issues/23080 | [
"New Feature",
"module:cluster",
"Needs Decision - Include Feature"
] | Implement Min-Cut clustering
### Describe the workflow you want to enable
Use the exact min-cut culstering method with API similar to sklearn.cluster.SpectralClustering.
### Describe your proposed solution
Implement an algorithm to solve the min-cut problem as a means of dataset clustering.
### Describe alternati... | 23,080 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23074 | [
"Bug",
"module:linear_model"
] | RidgeCV doesn't allow `alpha=0`
### Describe the bug
RidgeCV doesn't allow any alphas to be 0, despite the underlying `Ridge` linear model allowing such behavior.
### Steps/Code to Reproduce
```python
from sklearn.datasets import load_diabetes
from sklearn.linear_model import RidgeCV
X, y = load_diabetes(return_... | 23,074 |
https://github.com/scikit-learn/scikit-learn/issues/23072 | [
"Documentation"
] | Link to logos in Community section of website
Can we link to the scikit-learn logos in the "Community" section of the website?
Currently, the logos are buried, and I think this might make it easier for users to find it:
https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
To Do:
- [x] create a READ... | 23,072 |
https://github.com/scikit-learn/scikit-learn/issues/23072 | [
"Documentation"
] | Link to logos in Community section of website
Can we link to the scikit-learn logos in the "Community" section of the website?
Currently, the logos are buried, and I think this might make it easier for users to find it:
https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
To Do:
- [x] create a READ... | 23,072 |
https://github.com/scikit-learn/scikit-learn/issues/23072 | [
"Documentation"
] | Link to logos in Community section of website
Can we link to the scikit-learn logos in the "Community" section of the website?
Currently, the logos are buried, and I think this might make it easier for users to find it:
https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
To Do:
- [x] create a READ... | 23,072 |
https://github.com/scikit-learn/scikit-learn/issues/23072 | [
"Documentation"
] | Link to logos in Community section of website
Can we link to the scikit-learn logos in the "Community" section of the website?
Currently, the logos are buried, and I think this might make it easier for users to find it:
https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
To Do:
- [x] create a READ... | 23,072 |
https://github.com/scikit-learn/scikit-learn/issues/23072 | [
"Documentation"
] | Link to logos in Community section of website
Can we link to the scikit-learn logos in the "Community" section of the website?
Currently, the logos are buried, and I think this might make it easier for users to find it:
https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
To Do:
- [x] create a READ... | 23,072 |
https://github.com/scikit-learn/scikit-learn/issues/23069 | [
"Bug",
"Needs Triage"
] | Error during installation
### Describe the bug
getting error while installing pycaret
### Steps/Code to Reproduce
pip install pycaret
### Expected Results
failed to build wheels
### Actual ... | 23,069 |
https://github.com/scikit-learn/scikit-learn/issues/23059 | [
"Documentation",
"Enhancement",
"module:metrics"
] | DOC Improve the docstring of log loss to cover the multiclass case
### Describe the issue linked to the documentation
The docstring of the `log_loss` function (also known as the "cross-entropy loss") only gives the mathematical description of the loss when `y_true` is a binary variable (binary cross-entropy).
##... | 23,059 |
https://github.com/scikit-learn/scikit-learn/issues/23059 | [
"Documentation",
"Enhancement",
"module:metrics"
] | DOC Improve the docstring of log loss to cover the multiclass case
### Describe the issue linked to the documentation
The docstring of the `log_loss` function (also known as the "cross-entropy loss") only gives the mathematical description of the loss when `y_true` is a binary variable (binary cross-entropy).
##... | 23,059 |
https://github.com/scikit-learn/scikit-learn/issues/23059 | [
"Documentation",
"Enhancement",
"module:metrics"
] | DOC Improve the docstring of log loss to cover the multiclass case
### Describe the issue linked to the documentation
The docstring of the `log_loss` function (also known as the "cross-entropy loss") only gives the mathematical description of the loss when `y_true` is a binary variable (binary cross-entropy).
##... | 23,059 |
https://github.com/scikit-learn/scikit-learn/issues/23059 | [
"Documentation",
"Enhancement",
"module:metrics"
] | DOC Improve the docstring of log loss to cover the multiclass case
### Describe the issue linked to the documentation
The docstring of the `log_loss` function (also known as the "cross-entropy loss") only gives the mathematical description of the loss when `y_true` is a binary variable (binary cross-entropy).
##... | 23,059 |
https://github.com/scikit-learn/scikit-learn/issues/23053 | [
"Documentation"
] | Doc Examples Bug: `plot_column_transformer_mixed_types`, missing categorical SimpleImputer
### Describe the issue linked to the documentation
The [`plot_column_transformer_mixed_types`](https://github.com/scikit-learn/scikit-learn/blob/582fa30a31ffd1d2afc6325ec3506418e35b88c2/examples/compose/plot_column_transformer_... | 23,053 |
https://github.com/scikit-learn/scikit-learn/issues/23053 | [
"Documentation"
] | Doc Examples Bug: `plot_column_transformer_mixed_types`, missing categorical SimpleImputer
### Describe the issue linked to the documentation
The [`plot_column_transformer_mixed_types`](https://github.com/scikit-learn/scikit-learn/blob/582fa30a31ffd1d2afc6325ec3506418e35b88c2/examples/compose/plot_column_transformer_... | 23,053 |
https://github.com/scikit-learn/scikit-learn/issues/23053 | [
"Documentation"
] | Doc Examples Bug: `plot_column_transformer_mixed_types`, missing categorical SimpleImputer
### Describe the issue linked to the documentation
The [`plot_column_transformer_mixed_types`](https://github.com/scikit-learn/scikit-learn/blob/582fa30a31ffd1d2afc6325ec3506418e35b88c2/examples/compose/plot_column_transformer_... | 23,053 |
https://github.com/scikit-learn/scikit-learn/issues/23048 | [
"Bug",
"module:datasets"
] | Covtype dataset raises error when fetching
### Describe the bug
When fetching the Covtype dataset
```python
from sklearn.datasets import fetch_covtype
fetch_covtype()
```
I am getting an
```python
error: Error -3 while decompressing data: invalid block type
```
Renaming the folder `$HOME/scikit_learn... | 23,048 |
https://github.com/scikit-learn/scikit-learn/issues/23032 | [
"Bug",
"Needs Triage"
] | GaussianMixture sample() ValueError on Models with 1 Component Fitted on <32 samples
### Describe the bug
If you fit a GaussianMixture model with one component on less than 32 samples, a ValueError is thrown when trying to generate a random sample from the model. If you use a model with more than one component, you a... | 23,032 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23025 | [
"New Feature",
"module:preprocessing"
] | LabelEncoder based on value_counts
### Describe the workflow you want to enable
sklearn.preprocessing.LabelEncoder sorts classes_ based on alphabet. Would be good to have the parameter mapping='value_counts' to sort the classes based on the number of appearences (normalized) in training sample.
If you give ok to... | 23,025 |
https://github.com/scikit-learn/scikit-learn/issues/23019 | [
"New Feature",
"Needs Triage"
] | DateEncoder
### Describe the workflow you want to enable
Would be cool to have a preprocessor that maps dates (str or unixtime) to its' respective date parts: dayofmonth, dayofweek, hour,etc.
There's any reason this is not included in sklearn?
In case not, I could do a PR
### Describe your proposed solution
>>>... | 23,019 |
https://github.com/scikit-learn/scikit-learn/issues/23018 | [
"New Feature",
"Needs Triage"
] | Add Pre-fitted Model to `VotingClassifier`
### Describe the workflow you want to enable
Allow passing trained models to `VotingClassifier`, and use these trained models directly for prediction, without refitting.
The current `VotingClassifier` requires fitting all inputted estimators on the given training data, ... | 23,018 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23014 | [
"module:linear_model",
"module:test-suite"
] | test_ridge_regression_vstacked_X is not stable
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=40346&view=logs&jobId=97641769-79fb-5590-9088-a30ce9b850b9&j=97641769-79fb-5590-9088-a30ce9b850b9&t=4745baa1-36b5-56c8-9a8e-6480742db1a6
introduced in #22910.
@lorentzenchr was it tested on "all" ... | 23,014 |
https://github.com/scikit-learn/scikit-learn/issues/23013 | [
"Needs Triage"
] | Dataframe also as a sklearn transform output
Hi all,
i work intensively with sklearn pipeline for building ML pipelines and pre-processing. Sklearn has been really useful in this case.
The thing is post model training , i would like to know what my dataset looks like, which columns were dropped, or transformed. Ho... | 23,013 |
https://github.com/scikit-learn/scikit-learn/issues/23013 | [
"Needs Triage"
] | Dataframe also as a sklearn transform output
Hi all,
i work intensively with sklearn pipeline for building ML pipelines and pre-processing. Sklearn has been really useful in this case.
The thing is post model training , i would like to know what my dataset looks like, which columns were dropped, or transformed. Ho... | 23,013 |
https://github.com/scikit-learn/scikit-learn/issues/23013 | [
"Needs Triage"
] | Dataframe also as a sklearn transform output
Hi all,
i work intensively with sklearn pipeline for building ML pipelines and pre-processing. Sklearn has been really useful in this case.
The thing is post model training , i would like to know what my dataset looks like, which columns were dropped, or transformed. Ho... | 23,013 |
https://github.com/scikit-learn/scikit-learn/issues/23013 | [
"Needs Triage"
] | Dataframe also as a sklearn transform output
Hi all,
i work intensively with sklearn pipeline for building ML pipelines and pre-processing. Sklearn has been really useful in this case.
The thing is post model training , i would like to know what my dataset looks like, which columns were dropped, or transformed. Ho... | 23,013 |
https://github.com/scikit-learn/scikit-learn/issues/23008 | [
"Bug",
"Needs Triage"
] | PR #22548 breaks documentation building
### Describe the bug
The changes made in #22548 appear to cause building the example docs with `make html` to fail (the docs build fine in the previous commit).
### Steps/Code to Reproduce
1. Setup a [development environment for scikit-learn](https://github.com/data-umbrella/... | 23,008 |
https://github.com/scikit-learn/scikit-learn/issues/23008 | [
"Bug",
"Needs Triage"
] | PR #22548 breaks documentation building
### Describe the bug
The changes made in #22548 appear to cause building the example docs with `make html` to fail (the docs build fine in the previous commit).
### Steps/Code to Reproduce
1. Setup a [development environment for scikit-learn](https://github.com/data-umbrella/... | 23,008 |
https://github.com/scikit-learn/scikit-learn/issues/23008 | [
"Bug",
"Needs Triage"
] | PR #22548 breaks documentation building
### Describe the bug
The changes made in #22548 appear to cause building the example docs with `make html` to fail (the docs build fine in the previous commit).
### Steps/Code to Reproduce
1. Setup a [development environment for scikit-learn](https://github.com/data-umbrella/... | 23,008 |
https://github.com/scikit-learn/scikit-learn/issues/23004 | [
"New Feature",
"module:preprocessing",
"Needs Decision - Include Feature"
] | Decouple CountVectorizer => TextTokenizer + ItemCountVectorizer
### Describe the workflow you want to enable
The `CountVectorizer` component has the responsibility of not just vectorizing term frequencies but also internally tokenizing & normalizing the input text into terms. While this functionality is convenient ... | 23,004 |
https://github.com/scikit-learn/scikit-learn/issues/23004 | [
"New Feature",
"module:preprocessing",
"Needs Decision - Include Feature"
] | Decouple CountVectorizer => TextTokenizer + ItemCountVectorizer
### Describe the workflow you want to enable
The `CountVectorizer` component has the responsibility of not just vectorizing term frequencies but also internally tokenizing & normalizing the input text into terms. While this functionality is convenient ... | 23,004 |
https://github.com/scikit-learn/scikit-learn/issues/23001 | [
"API"
] | Pandas Output Proposal Outline
With `get_feature_names_out` complete, I am currently reworking the SLEP for pandas output. I am thinking of only covering transformers in the SLEP to reduce the scope. This issue covers the complete idea for pandas output that covers all methods that return arrays: `transform`, `predict... | 23,001 |
https://github.com/scikit-learn/scikit-learn/issues/23001 | [
"API"
] | Pandas Output Proposal Outline
With `get_feature_names_out` complete, I am currently reworking the SLEP for pandas output. I am thinking of only covering transformers in the SLEP to reduce the scope. This issue covers the complete idea for pandas output that covers all methods that return arrays: `transform`, `predict... | 23,001 |
https://github.com/scikit-learn/scikit-learn/issues/23000 | [
"module:metrics"
] | completeness score (v-measure) for trivial clustering is non-zero
### Describe the bug
If I calculate the completeness score for a trivial clustering (as many clusters as datapoints) I would expect the completness score to be 0.0, however, I get non-zero values if I have more than one class (true labels).
### Steps/... | 23,000 |
https://github.com/scikit-learn/scikit-learn/issues/23000 | [
"module:metrics"
] | completeness score (v-measure) for trivial clustering is non-zero
### Describe the bug
If I calculate the completeness score for a trivial clustering (as many clusters as datapoints) I would expect the completness score to be 0.0, however, I get non-zero values if I have more than one class (true labels).
### Steps/... | 23,000 |
https://github.com/scikit-learn/scikit-learn/issues/22985 | [
"New Feature",
"module:neighbors"
] | Compute centroids using median for metric = 'cosine' in NearestCentroid
### Describe the workflow you want to enable
In the current NearestCentroid code, we get centroids computed using median only for metric = 'manhattan'.
If enabling centroids computation using median for metric = 'cosine' will help in online pred... | 22,985 |
https://github.com/scikit-learn/scikit-learn/issues/22985 | [
"New Feature",
"module:neighbors"
] | Compute centroids using median for metric = 'cosine' in NearestCentroid
### Describe the workflow you want to enable
In the current NearestCentroid code, we get centroids computed using median only for metric = 'manhattan'.
If enabling centroids computation using median for metric = 'cosine' will help in online pred... | 22,985 |
https://github.com/scikit-learn/scikit-learn/issues/22985 | [
"New Feature",
"module:neighbors"
] | Compute centroids using median for metric = 'cosine' in NearestCentroid
### Describe the workflow you want to enable
In the current NearestCentroid code, we get centroids computed using median only for metric = 'manhattan'.
If enabling centroids computation using median for metric = 'cosine' will help in online pred... | 22,985 |
https://github.com/scikit-learn/scikit-learn/issues/22981 | [
"Bug",
"module:model_selection"
] | learning curve does not work in incremental mode with MLPRegressor
### Describe the bug
It looks as though incremental learning via the learning_curve method assumes that the estimator accepts a classes argument in **partial_fit**
### Steps/Code to Reproduce
```py
from sklearn.datasets import make_regression... | 22,981 |
https://github.com/scikit-learn/scikit-learn/issues/22981 | [
"Bug",
"module:model_selection"
] | learning curve does not work in incremental mode with MLPRegressor
### Describe the bug
It looks as though incremental learning via the learning_curve method assumes that the estimator accepts a classes argument in **partial_fit**
### Steps/Code to Reproduce
```py
from sklearn.datasets import make_regression... | 22,981 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
https://github.com/scikit-learn/scikit-learn/issues/22979 | [
"Bug",
"module:model_selection",
"Needs Reproducible Code"
] | Bug in train_test_split
### Describe the bug
I am pretty confident I found a bug in train_test_split. When using train_test_split multiple times in a row it produces wrong indexes in X_train and y_train.
### Steps/Code to Reproduce
Using this code at the first time in Jupyter notebook produced the correct result wi... | 22,979 |
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