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/28077 | [
"Needs Triage"
] | IsolationForest should maybe check for duplicate y values that are given to ExtraTreeRegressor.
My understanding is that IsolationForest uses ExtraTreeRegressor, which in turn inherits from DecisionTreeRegressor, with random y values to ensure that all leafs correspond to a single point (required for IsolationForest a... | 28,077 |
https://github.com/scikit-learn/scikit-learn/issues/28077 | [
"Needs Triage"
] | IsolationForest should maybe check for duplicate y values that are given to ExtraTreeRegressor.
My understanding is that IsolationForest uses ExtraTreeRegressor, which in turn inherits from DecisionTreeRegressor, with random y values to ensure that all leafs correspond to a single point (required for IsolationForest a... | 28,077 |
https://github.com/scikit-learn/scikit-learn/issues/28060 | [
"New Feature",
"Needs Triage"
] | Regression Probability Distribution & Multi-Quantile Output API
### Describe the workflow you want to enable
Scikit-learn has a `predict` and `predict_proba` method for Classification classes but only a `predict` method for regression, with the option of quantile. Scikit-learn is adding more quantile output functio... | 28,060 |
https://github.com/scikit-learn/scikit-learn/issues/28060 | [
"New Feature",
"Needs Triage"
] | Regression Probability Distribution & Multi-Quantile Output API
### Describe the workflow you want to enable
Scikit-learn has a `predict` and `predict_proba` method for Classification classes but only a `predict` method for regression, with the option of quantile. Scikit-learn is adding more quantile output functio... | 28,060 |
https://github.com/scikit-learn/scikit-learn/issues/28060 | [
"New Feature",
"Needs Triage"
] | Regression Probability Distribution & Multi-Quantile Output API
### Describe the workflow you want to enable
Scikit-learn has a `predict` and `predict_proba` method for Classification classes but only a `predict` method for regression, with the option of quantile. Scikit-learn is adding more quantile output functio... | 28,060 |
https://github.com/scikit-learn/scikit-learn/issues/28059 | [
"Enhancement"
] | ENH: Random Forest Classifier oob scaling/parallel
My team, working on a bioinformatics problem with high feature count (columns/dimensions in `X`), noticed that the `RandomForestClassifier` out of bag scoring doesn't scale with `n_jobs`. To be fair, `n_jobs` clearly says what it does support, though I do wonder if th... | 28,059 |
https://github.com/scikit-learn/scikit-learn/issues/28059 | [
"Enhancement"
] | ENH: Random Forest Classifier oob scaling/parallel
My team, working on a bioinformatics problem with high feature count (columns/dimensions in `X`), noticed that the `RandomForestClassifier` out of bag scoring doesn't scale with `n_jobs`. To be fair, `n_jobs` clearly says what it does support, though I do wonder if th... | 28,059 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28055 | [
"Bug"
] | Infinite Loop in K-means when relocating empty clusters
### Describe the bug
Relocating empty clusters in Kmeans is not working as expected in this edge case, where :
- There is duplicate entries.
- The number of clusters is equal to the number of entries.
- Very particular initial positions.
Kmeans is stuck ... | 28,055 |
https://github.com/scikit-learn/scikit-learn/issues/28049 | [
"module:linear_model"
] | Plan for SGD and SAGA loss function migration
As a result of #15123, we now have a common private loss function module under `sklearn._loss`. In `sklearn.linear_models` we have 2 algorithms that need Cython version that calculate losses and gradients on single values (not on arrays), namely
- `_plain_sgd` as used in ... | 28,049 |
https://github.com/scikit-learn/scikit-learn/issues/28049 | [
"module:linear_model"
] | Plan for SGD and SAGA loss function migration
As a result of #15123, we now have a common private loss function module under `sklearn._loss`. In `sklearn.linear_models` we have 2 algorithms that need Cython version that calculate losses and gradients on single values (not on arrays), namely
- `_plain_sgd` as used in ... | 28,049 |
https://github.com/scikit-learn/scikit-learn/issues/28041 | [
"Bug"
] | Random object not being passed from to Kmeans
### Describe the bug
scikit-learn version 1.3.2, file _discretization.py line 308, the random object is not being passed to KMeans. As a result, runs are not reproducible even if you pass a random seed to KBinsDiscretizer.
### Steps/Code to Reproduce
kbd = KBinsDiscreti... | 28,041 |
https://github.com/scikit-learn/scikit-learn/issues/28041 | [
"Bug"
] | Random object not being passed from to Kmeans
### Describe the bug
scikit-learn version 1.3.2, file _discretization.py line 308, the random object is not being passed to KMeans. As a result, runs are not reproducible even if you pass a random seed to KBinsDiscretizer.
### Steps/Code to Reproduce
kbd = KBinsDiscreti... | 28,041 |
https://github.com/scikit-learn/scikit-learn/issues/28026 | [
"Bug"
] | ValueError: buffer source array is read-only in check_estimator
### Describe the bug
I am trying to make a scikit-learn estimator `FMClassifier` based on Python wrapper `pyWFM` for C++ library `libFM` (yes :sweat_smile:).
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/... | 28,026 |
https://github.com/scikit-learn/scikit-learn/issues/28026 | [
"Bug"
] | ValueError: buffer source array is read-only in check_estimator
### Describe the bug
I am trying to make a scikit-learn estimator `FMClassifier` based on Python wrapper `pyWFM` for C++ library `libFM` (yes :sweat_smile:).
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/... | 28,026 |
https://github.com/scikit-learn/scikit-learn/issues/28026 | [
"Bug"
] | ValueError: buffer source array is read-only in check_estimator
### Describe the bug
I am trying to make a scikit-learn estimator `FMClassifier` based on Python wrapper `pyWFM` for C++ library `libFM` (yes :sweat_smile:).
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/... | 28,026 |
https://github.com/scikit-learn/scikit-learn/issues/28026 | [
"Bug"
] | ValueError: buffer source array is read-only in check_estimator
### Describe the bug
I am trying to make a scikit-learn estimator `FMClassifier` based on Python wrapper `pyWFM` for C++ library `libFM` (yes :sweat_smile:).
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/... | 28,026 |
https://github.com/scikit-learn/scikit-learn/issues/28011 | [
"Needs Triage"
] | ⚠️ 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=62037&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jan 04, 2024)
- Test Collection Failure
COMMENT:
/take | 28,011 |
https://github.com/scikit-learn/scikit-learn/issues/28009 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/7305992859)** (Dec 23, 2023)
COMMENT:
Fixed upstream in conda-forge | 28,009 |
https://github.com/scikit-learn/scikit-learn/issues/28008 | [
"Needs Triage"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204 ⚠️
**CI failed on [Ubuntu_Jammy_Jellyfish.pymin_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61831&view=logs&j=f71949a9-f9d9-549e-cf45-2e99c7b412d1)** (Dec 23, 2023)
Unable to find ... | 28,008 |
https://github.com/scikit-learn/scikit-learn/issues/28007 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev ⚠️
**CI failed on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61831&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Dec 23, 2023)
Unable to find junit file. Please see link for details.
COMMENT:... | 28,007 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28004 | [
"Bug",
"Needs Triage"
] | CI is broken due to pydantic update to v2.5.3
### Describe the bug
Hi,
We are unable to run the CI.
Before:
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=61823&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=7d852497-2547-55fa-986f-0b436c028d7e
![image](https://github.com/sciki... | 28,004 |
https://github.com/scikit-learn/scikit-learn/issues/28003 | [
"Bug",
"Needs Triage"
] | NearestCentroid FutureWarning with cosine metric
### Describe the bug
NearestCentroid class throw a FutureWarning when using `metric='cosine'`.
Actually, the metric is use for two things:
- inside `.fit()` for the computation of the centroids:
- with euclidean: centroids are computed using the mean of featu... | 28,003 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/28001 | [
"Needs Info"
] | fail of installation of Scikit-learn in visual studio code.
### Describe the bug
I currently encountered a problem in that I could not install scikit-learn through pip in the terminal. I am currently using Python3 version 3.11.7 and when i tried to use pip to install the scikit-learn, it showed in the terminal that... | 28,001 |
https://github.com/scikit-learn/scikit-learn/issues/27996 | [
"Needs Triage"
] | Gradient of MLPs
Here is my gradient implementation for MLPs, and a test case. Would you be interested in a pull request to make this a `BaseMultilayerPerceptron` method?
`gradient.py`:
```python
# Authors: Issam H. Laradji <issam.laradji@gmail.com>
# Andreas Mueller
# Jiyuan Qian
# ... | 27,996 |
https://github.com/scikit-learn/scikit-learn/issues/27994 | [
"Documentation"
] | Consolidation of the naming of `y_pred_proba`, `y_score` vs `probas_pred`
### Describe the issue linked to the documentation
I am trying to leverage the classification metrics that rely on a posterior probability (i.e. P(Y | X=x)). This is commonly named `y_pred_proba` in the sklearn API.
However, I noticed a dis... | 27,994 |
https://github.com/scikit-learn/scikit-learn/issues/27994 | [
"Documentation"
] | Consolidation of the naming of `y_pred_proba`, `y_score` vs `probas_pred`
### Describe the issue linked to the documentation
I am trying to leverage the classification metrics that rely on a posterior probability (i.e. P(Y | X=x)). This is commonly named `y_pred_proba` in the sklearn API.
However, I noticed a dis... | 27,994 |
https://github.com/scikit-learn/scikit-learn/issues/27994 | [
"Documentation"
] | Consolidation of the naming of `y_pred_proba`, `y_score` vs `probas_pred`
### Describe the issue linked to the documentation
I am trying to leverage the classification metrics that rely on a posterior probability (i.e. P(Y | X=x)). This is commonly named `y_pred_proba` in the sklearn API.
However, I noticed a dis... | 27,994 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27993 | [
"New Feature"
] | [RFC] Allow handling of NaNs in multi-task Random Forests
### Describe the workflow you want to enable
Currently the RFR implementation is only capable of handling dense multi-task problems is there any scope to change the underlying algorithm to handle NaNs as a special case or would this break the API given that i... | 27,993 |
https://github.com/scikit-learn/scikit-learn/issues/27991 | [
"Bug",
"Needs Triage"
] | sklearn.mixture.gmm is not reproducible in version 1.3.2 vs 1.2.1
### Describe the bug
Code using sklearn.mixture.gmm with random seed, is not returning the same result when using scikit-learn versions 1.3.2 versus 1.2.1. The reason is that the function gmm.fit() is using, in some cases, the k-means++ algorithm. Th... | 27,991 |
https://github.com/scikit-learn/scikit-learn/issues/27991 | [
"Bug",
"Needs Triage"
] | sklearn.mixture.gmm is not reproducible in version 1.3.2 vs 1.2.1
### Describe the bug
Code using sklearn.mixture.gmm with random seed, is not returning the same result when using scikit-learn versions 1.3.2 versus 1.2.1. The reason is that the function gmm.fit() is using, in some cases, the k-means++ algorithm. Th... | 27,991 |
https://github.com/scikit-learn/scikit-learn/issues/27988 | [
"New Feature",
"Needs Triage"
] | Add __get_item__() to ColumnTransformer
### Describe the workflow you want to enable
This is really an extension to https://github.com/scikit-learn/scikit-learn/issues/24906 to retrieve state of column transformer components by name like other composite components.
### Describe your proposed solution
For exam... | 27,988 |
https://github.com/scikit-learn/scikit-learn/issues/27988 | [
"New Feature",
"Needs Triage"
] | Add __get_item__() to ColumnTransformer
### Describe the workflow you want to enable
This is really an extension to https://github.com/scikit-learn/scikit-learn/issues/24906 to retrieve state of column transformer components by name like other composite components.
### Describe your proposed solution
For exam... | 27,988 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27987 | [
"Bug",
"Needs Triage"
] | `MinMaxScalar.fit_transform()` Returns Zero When All Elements Are Same
### Describe the bug
When using MinMaxScaler.fit_transform() from scikit-learn, if all elements in a column of data are the same, the scaler transforms these elements to zeros. This behavior might not be intuitive or desired in some cases, as us... | 27,987 |
https://github.com/scikit-learn/scikit-learn/issues/27984 | [
"Needs Triage"
] | Question: Expanding the ERA Split Logic
Hi Jeffery,
I want to experiment by expanding the era splitting criterion and I wonder where the right place to implement that is.
The current implementation defines the era wise gain as the mean over all eras
![image](https://github.com/scikit-learn/scikit-learn/assets/... | 27,984 |
https://github.com/scikit-learn/scikit-learn/issues/27984 | [
"Needs Triage"
] | Question: Expanding the ERA Split Logic
Hi Jeffery,
I want to experiment by expanding the era splitting criterion and I wonder where the right place to implement that is.
The current implementation defines the era wise gain as the mean over all eras
![image](https://github.com/scikit-learn/scikit-learn/assets/... | 27,984 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
https://github.com/scikit-learn/scikit-learn/issues/27982 | [
"Documentation",
"good first issue",
"help wanted"
] | Ensure that we have an example in the docstring of each public function or class
We should make sure that we have a small example for all public functions or classes. Most of the missing examples are linked to functions.
I could list the following classes and functions for which `numpydoc` did not find any example:... | 27,982 |
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