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/26211 | [
"Documentation",
"Needs Investigation"
] | Possible inconsistency between documentation and code for user guide of PLSCanonical
### Describe the issue linked to the documentation
Recently I've been learning Partial Least Squares (PLS), and learned that there are some variations of PLS, namely PLS-Canonical, PLS-SVD, PLS2 and PLS1 (mainly from the [User Guide ... | 26,211 |
https://github.com/scikit-learn/scikit-learn/issues/26211 | [
"Documentation",
"Needs Investigation"
] | Possible inconsistency between documentation and code for user guide of PLSCanonical
### Describe the issue linked to the documentation
Recently I've been learning Partial Least Squares (PLS), and learned that there are some variations of PLS, namely PLS-Canonical, PLS-SVD, PLS2 and PLS1 (mainly from the [User Guide ... | 26,211 |
https://github.com/scikit-learn/scikit-learn/issues/26210 | [
"Bug",
"module:compose",
"Pandas compatibility"
] | confusing fit failure when using set_config(transform_output="pandas")
### Describe the bug
Using `set_config(transform_output="pandas")` in combination with `ColumnTransformer` may result in a failed fit, since indices do not align as expected. The error will not be especially helpful: "ValueError: Found input varia... | 26,210 |
https://github.com/scikit-learn/scikit-learn/issues/26210 | [
"Bug",
"module:compose",
"Pandas compatibility"
] | confusing fit failure when using set_config(transform_output="pandas")
### Describe the bug
Using `set_config(transform_output="pandas")` in combination with `ColumnTransformer` may result in a failed fit, since indices do not align as expected. The error will not be especially helpful: "ValueError: Found input varia... | 26,210 |
https://github.com/scikit-learn/scikit-learn/issues/26210 | [
"Bug",
"module:compose",
"Pandas compatibility"
] | confusing fit failure when using set_config(transform_output="pandas")
### Describe the bug
Using `set_config(transform_output="pandas")` in combination with `ColumnTransformer` may result in a failed fit, since indices do not align as expected. The error will not be especially helpful: "ValueError: Found input varia... | 26,210 |
https://github.com/scikit-learn/scikit-learn/issues/26210 | [
"Bug",
"module:compose",
"Pandas compatibility"
] | confusing fit failure when using set_config(transform_output="pandas")
### Describe the bug
Using `set_config(transform_output="pandas")` in combination with `ColumnTransformer` may result in a failed fit, since indices do not align as expected. The error will not be especially helpful: "ValueError: Found input varia... | 26,210 |
https://github.com/scikit-learn/scikit-learn/issues/26210 | [
"Bug",
"module:compose",
"Pandas compatibility"
] | confusing fit failure when using set_config(transform_output="pandas")
### Describe the bug
Using `set_config(transform_output="pandas")` in combination with `ColumnTransformer` may result in a failed fit, since indices do not align as expected. The error will not be especially helpful: "ValueError: Found input varia... | 26,210 |
https://github.com/scikit-learn/scikit-learn/issues/26197 | [
"Bug",
"Needs Triage"
] | Overflow in ParameterGrid.__len__
### Describe the bug
Dear all,
the __len__ function from the ParameterGrid gets an overflow when having a large HP parameter set.
### Steps/Code to Reproduce
```python
from sklearn.model_selection import ParameterGrid
import numpy as np
hyper_parameters = {
'num_co... | 26,197 |
https://github.com/scikit-learn/scikit-learn/issues/26197 | [
"Bug",
"Needs Triage"
] | Overflow in ParameterGrid.__len__
### Describe the bug
Dear all,
the __len__ function from the ParameterGrid gets an overflow when having a large HP parameter set.
### Steps/Code to Reproduce
```python
from sklearn.model_selection import ParameterGrid
import numpy as np
hyper_parameters = {
'num_co... | 26,197 |
https://github.com/scikit-learn/scikit-learn/issues/26197 | [
"Bug",
"Needs Triage"
] | Overflow in ParameterGrid.__len__
### Describe the bug
Dear all,
the __len__ function from the ParameterGrid gets an overflow when having a large HP parameter set.
### Steps/Code to Reproduce
```python
from sklearn.model_selection import ParameterGrid
import numpy as np
hyper_parameters = {
'num_co... | 26,197 |
https://github.com/scikit-learn/scikit-learn/issues/26190 | [
"Bug",
"Needs Triage"
] | CHAT GPT response seems to be limited to some # of lines
### Describe the bug
I am new user working with Chat GPT for ab out 1 1/2 months I am generally using this to help me write python programs. It has been quite useful but makes lots of mistakes. eventually it can find the right answer if you give it a few chanc... | 26,190 |
https://github.com/scikit-learn/scikit-learn/issues/26182 | [
"Documentation",
"Needs Triage"
] | CircleCI token in README broken
### Describe the issue linked to the documentation
<img src="https://user-images.githubusercontent.com/108576690/232124886-02b5c01c-2077-44ea-a7b6-6a23ec355e4f.png" width="80%">
As is shown above, it seems that the CircleCI token is not generating correctly.
### Suggest a potenti... | 26,182 |
https://github.com/scikit-learn/scikit-learn/issues/26179 | [
"API"
] | SLEP006: default routing
In the context of:
- https://github.com/scikit-learn/scikit-learn/issues/25776
- https://github.com/scikit-learn/scikit-learn/issues/26050
we've also discussed the possibility of developing a default routing strategy for certain metadata. In most cases this is `sample_weight` and proba... | 26,179 |
https://github.com/scikit-learn/scikit-learn/issues/26175 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/4696146467)** (Apr 14, 2023)
COMMENT:
Thi one is a timeout during downloading dependencies. Closing. | 26,175 |
https://github.com/scikit-learn/scikit-learn/issues/26174 | [
"Needs Triage"
] | ⚠️ CI failed on Ubuntu_Atlas.ubuntu_atlas ⚠️
**CI failed on [Ubuntu_Atlas.ubuntu_atlas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=54164&view=logs&j=689a1c8f-ff4e-5689-1a1a-6fa551ae9eba)** (Apr 14, 2023)
- test_float_precision[33-MiniBatchKMeans-dense]
COMMENT:
## CI is no longer failing! ... | 26,174 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26170 | [
"module:model_selection",
"Needs Decision - Include Feature"
] | RFC BayesSearchCV in scikit-learn
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26141
<div type='discussions-op-text'>
<sup>Originally posted by **earlev4** April 11, 2023</sup>
**Hi! First off, thanks so much to the excellent work done by all the scikit-learn contributors! The proje... | 26,170 |
https://github.com/scikit-learn/scikit-learn/issues/26167 | [
"wontfix"
] | Adding validation split in train_test_split
### Describe the workflow you want to enable
Hi, this is my first time. Help and suggestions are really appreciated. I wanted to include **validation split** with a simple `want_valid : bool` parameter in the **model_selection.train_test_split()** function given `stratified... | 26,167 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26164 | [
"Bug",
"module:linear_model"
] | LinearRegression with zero sample_weights is not the same as excluding those rows
### Describe the bug
Excluding rows having `sample_weight == 0` in `LinearRegression` does not give the same results.
### Steps/Code to Reproduce
```python
from collections import Counter
import numpy as np
from sklearn.linea... | 26,164 |
https://github.com/scikit-learn/scikit-learn/issues/26158 | [
"Bug",
"Needs Triage"
] | Confusion Matrix is 1x1 instead of NxN if all labels and predicted labels are the same
### Describe the bug
A confusion matrix with all correctly predicted labels will generate a 1x1 confusion matrix, instead of a nxn confusion matrix (for n classes)
### Steps/Code to Reproduce
```
from sklearn.metrics impor... | 26,158 |
https://github.com/scikit-learn/scikit-learn/issues/26157 | [
"Bug",
"Needs Reproducible Code",
"Needs Triage"
] | RFECV crashes with a non-pickable error even if n_jobs is set to 1.
### Describe the bug
When using the .fit method, the code crashes with warnings related to jbolib and no errors, even when n_jobs is set to 1.
### Steps/Code to Reproduce
```py
rfecv = RFECV(
estimator = regressors[0],
step =... | 26,157 |
https://github.com/scikit-learn/scikit-learn/issues/26157 | [
"Bug",
"Needs Reproducible Code",
"Needs Triage"
] | RFECV crashes with a non-pickable error even if n_jobs is set to 1.
### Describe the bug
When using the .fit method, the code crashes with warnings related to jbolib and no errors, even when n_jobs is set to 1.
### Steps/Code to Reproduce
```py
rfecv = RFECV(
estimator = regressors[0],
step =... | 26,157 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26154 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=56792&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jul 06, 2023)
Unable to find junit file. Please see link for details.... | 26,154 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26148 | [
"Bug",
"Documentation",
"Needs Decision"
] | Cloned estimators have identical randomness but different RNG instances
### Describe the bug
Cloned estimators have identical randomness but different RNG instances. According to documentation, it should be the other way around: different randomness but identical RNG instances.
Related #25395
The User Guide [s... | 26,148 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
https://github.com/scikit-learn/scikit-learn/issues/26140 | [
"Bug",
"Moderate",
"module:ensemble"
] | RandomForest not passing feature names to trees and creating warnings.
### Describe the bug
I fit a decision forest with training data that includes feature names. When I call predict_proba on the forest everything is fine. When I call rf.estimators_[0].predict_proba it will warn that it was not trained with featur... | 26,140 |
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