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/27075 | [
"Packaging"
] | Numpy 2.0 release thoughts
Some notes from the EuroSciPy maintainer track about Numpy 2.0
You can track the progress Numpy is making towards 2.0 and what changes are coming in https://github.com/numpy/numpy/issues/24300.
Some things we should consider doing:
* [ ] pin to numpy<2 in the next releases to reduce... | 27,075 |
https://github.com/scikit-learn/scikit-learn/issues/27075 | [
"Packaging"
] | Numpy 2.0 release thoughts
Some notes from the EuroSciPy maintainer track about Numpy 2.0
You can track the progress Numpy is making towards 2.0 and what changes are coming in https://github.com/numpy/numpy/issues/24300.
Some things we should consider doing:
* [ ] pin to numpy<2 in the next releases to reduce... | 27,075 |
https://github.com/scikit-learn/scikit-learn/issues/27075 | [
"Packaging"
] | Numpy 2.0 release thoughts
Some notes from the EuroSciPy maintainer track about Numpy 2.0
You can track the progress Numpy is making towards 2.0 and what changes are coming in https://github.com/numpy/numpy/issues/24300.
Some things we should consider doing:
* [ ] pin to numpy<2 in the next releases to reduce... | 27,075 |
https://github.com/scikit-learn/scikit-learn/issues/27074 | [
"Bug",
"Needs Triage"
] | Unable to build scikit learn on Mac-M2, python3.11 and 3.9
### Describe the bug
Getting below error when trying to install snips-nlu
ried installing both venv and conda
Also tried to install with python3.9 but failed with the same
`Cython.Compiler.Errors.CompileError: sklearn/svm/_liblinear.pyx`
### ... | 27,074 |
https://github.com/scikit-learn/scikit-learn/issues/27074 | [
"Bug",
"Needs Triage"
] | Unable to build scikit learn on Mac-M2, python3.11 and 3.9
### Describe the bug
Getting below error when trying to install snips-nlu
ried installing both venv and conda
Also tried to install with python3.9 but failed with the same
`Cython.Compiler.Errors.CompileError: sklearn/svm/_liblinear.pyx`
### ... | 27,074 |
https://github.com/scikit-learn/scikit-learn/issues/27074 | [
"Bug",
"Needs Triage"
] | Unable to build scikit learn on Mac-M2, python3.11 and 3.9
### Describe the bug
Getting below error when trying to install snips-nlu
ried installing both venv and conda
Also tried to install with python3.9 but failed with the same
`Cython.Compiler.Errors.CompileError: sklearn/svm/_liblinear.pyx`
### ... | 27,074 |
https://github.com/scikit-learn/scikit-learn/issues/27074 | [
"Bug",
"Needs Triage"
] | Unable to build scikit learn on Mac-M2, python3.11 and 3.9
### Describe the bug
Getting below error when trying to install snips-nlu
ried installing both venv and conda
Also tried to install with python3.9 but failed with the same
`Cython.Compiler.Errors.CompileError: sklearn/svm/_liblinear.pyx`
### ... | 27,074 |
https://github.com/scikit-learn/scikit-learn/issues/27065 | [
"Documentation",
"Needs Triage"
] | Documents fixed to increase speed by removing for loop
### Describe the issue linked to the documentation
x = np.array(sorted([n for n in percentiles[cls_name].keys()]))
### Suggest a potential alternative/fix
x = np.array(sorted(list(percentiles[cls_name].keys())))
COMMENT:
/take | 27,065 |
https://github.com/scikit-learn/scikit-learn/issues/27063 | [
"Bug",
"Needs Triage"
] | bench_20newsgroups.py
### Describe the bug
```shell
usage: ipykernel_launcher.py [-h] -e
{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost}
[{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost} ...]
ipykernel... | 27,063 |
https://github.com/scikit-learn/scikit-learn/issues/27063 | [
"Bug",
"Needs Triage"
] | bench_20newsgroups.py
### Describe the bug
```shell
usage: ipykernel_launcher.py [-h] -e
{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost}
[{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost} ...]
ipykernel... | 27,063 |
https://github.com/scikit-learn/scikit-learn/issues/27063 | [
"Bug",
"Needs Triage"
] | bench_20newsgroups.py
### Describe the bug
```shell
usage: ipykernel_launcher.py [-h] -e
{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost}
[{dummy,random_forest,extra_trees,logistic_regression,naive_bayes,adaboost} ...]
ipykernel... | 27,063 |
https://github.com/scikit-learn/scikit-learn/issues/27057 | [
"Bug",
"Needs Triage"
] | Case when y_test contains a single class and y_test == y_pred.
### Describe the bug
It shows wrong output when we call this function
So all The issue related to precision, recall , F1_score, confusion_matrix , class_likelihood_ratios is trigged
Case when y_test contains a single class and y_test == y_pred
### Step... | 27,057 |
https://github.com/scikit-learn/scikit-learn/issues/27057 | [
"Bug",
"Needs Triage"
] | Case when y_test contains a single class and y_test == y_pred.
### Describe the bug
It shows wrong output when we call this function
So all The issue related to precision, recall , F1_score, confusion_matrix , class_likelihood_ratios is trigged
Case when y_test contains a single class and y_test == y_pred
### Step... | 27,057 |
https://github.com/scikit-learn/scikit-learn/issues/27057 | [
"Bug",
"Needs Triage"
] | Case when y_test contains a single class and y_test == y_pred.
### Describe the bug
It shows wrong output when we call this function
So all The issue related to precision, recall , F1_score, confusion_matrix , class_likelihood_ratios is trigged
Case when y_test contains a single class and y_test == y_pred
### Step... | 27,057 |
https://github.com/scikit-learn/scikit-learn/issues/27049 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_mkl_no_openmp ⚠️
**CI failed on [macOS.pylatest_conda_mkl_no_openmp](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=57880&view=logs&j=e6d5b7c0-0dfd-5ddf-13d5-c71bebf56ce2)** (Aug 11, 2023)
Unable to find junit file. Please see link for details.
COMMENT:
I a... | 27,049 |
https://github.com/scikit-learn/scikit-learn/issues/27047 | [
"New Feature",
"Needs Investigation"
] | Inconsistency in zero_division handling between precision/recall/f1 and precision_recall_curve/roc_curve related metrics
### Describe the workflow you want to enable
The API offers the possibility to set the behavior upon stumbling upon a zero division issue when no positive label is present in the dataset, upon co... | 27,047 |
https://github.com/scikit-learn/scikit-learn/issues/27047 | [
"New Feature",
"Needs Investigation"
] | Inconsistency in zero_division handling between precision/recall/f1 and precision_recall_curve/roc_curve related metrics
### Describe the workflow you want to enable
The API offers the possibility to set the behavior upon stumbling upon a zero division issue when no positive label is present in the dataset, upon co... | 27,047 |
https://github.com/scikit-learn/scikit-learn/issues/27047 | [
"New Feature",
"Needs Investigation"
] | Inconsistency in zero_division handling between precision/recall/f1 and precision_recall_curve/roc_curve related metrics
### Describe the workflow you want to enable
The API offers the possibility to set the behavior upon stumbling upon a zero division issue when no positive label is present in the dataset, upon co... | 27,047 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27038 | [
"Documentation",
"Validation"
] | Document developer utils for parameter validation
### Describe the issue linked to the documentation
https://github.com/scikit-learn/scikit-learn/pull/22722 and https://github.com/scikit-learn/scikit-learn/issues/24862 introduced parameter validation.
These tools should be documented under https://scikit-learn.org... | 27,038 |
https://github.com/scikit-learn/scikit-learn/issues/27037 | [
"Bug"
] | StandardScaler fit_transform() does not work with list as input data when output is configured to 'pandas'
### Describe the bug
I have a `StandardScaler` configured to output pandas dataframes using the `set_output` api. When `fit_transform` is called with data of type `list`, it throws an error as shown below.
... | 27,037 |
https://github.com/scikit-learn/scikit-learn/issues/27037 | [
"Bug"
] | StandardScaler fit_transform() does not work with list as input data when output is configured to 'pandas'
### Describe the bug
I have a `StandardScaler` configured to output pandas dataframes using the `set_output` api. When `fit_transform` is called with data of type `list`, it throws an error as shown below.
... | 27,037 |
https://github.com/scikit-learn/scikit-learn/issues/27035 | [
"New Feature"
] | HDBSCAN hierarchy tree plotting
### Describe the workflow you want to enable
I have tried working with the newly introduces hdbscan clustering functionality and this works perfectly on the dataset I'm handling but I haven't found a way to plot the hierarchy tree of the clustering that clearly shows the effect of incr... | 27,035 |
https://github.com/scikit-learn/scikit-learn/issues/27035 | [
"New Feature"
] | HDBSCAN hierarchy tree plotting
### Describe the workflow you want to enable
I have tried working with the newly introduces hdbscan clustering functionality and this works perfectly on the dataset I'm handling but I haven't found a way to plot the hierarchy tree of the clustering that clearly shows the effect of incr... | 27,035 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27028 | [
"Bug",
"Needs Investigation"
] | Non-metric MDS gives nonsense results on the Digits dataset
### Describe the bug
I am running metric and nonmetric MDS on the Digits dataset, and obtain nonsense results with `metric=False`. At the same time, my understanding is that non-metric MDS is more flexible and should not yield worse results compared to met... | 27,028 |
https://github.com/scikit-learn/scikit-learn/issues/27026 | [
"Bug",
"Needs Triage"
] | Cannot install scikit-learn==1.0.2 with poetry toml file
### Describe the bug
I am using a poetry.toml file to install the dependencies of my package. But when trying to install scikit-learn==1.0.2, it fails.
Below is my poetry.toml file:
```
[tool.poetry]
name = "sample"
version = "0.1.0"
description = ""... | 27,026 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27023 | [
"New Feature"
] | Kernel density estimation on (semi-)bounded domains
### Describe the workflow you want to enable
Kernel density estimates for bounded data are biased near the boundary because probability mass "spills out of the domain". It would be great to add a boundary correction to `KernelDensity`. For example, estimating the un... | 27,023 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27016 | [
"Bug",
"help wanted"
] | PoissonRegressor lbfgs solver giving coefficients of 0 and Runtime Warning
### Describe the bug
See the following [stack exchange](https://stats.stackexchange.com/questions/622085/sklearn-poissonregressor-giving-all-coefficients-zero) post (the solution to my original issue was to use newton-cholesky solver)
Whe... | 27,016 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27014 | [
"Bug",
"module:pipeline"
] | Pipeline throws TypeError on stateless transformers
### Describe the bug
In PR #26952 @thomasjpfan was hinting that transformers in a pipeline are allowed to be stateless. They are, but only if no other step of the pipeline implements a `fit()`.
However, if one of the steps implements a `fit`, the previous steps... | 27,014 |
https://github.com/scikit-learn/scikit-learn/issues/27012 | [
"Bug",
"help wanted"
] | inverse_transform of SimpleImputer with empty features changes order of columns
### Describe the bug
When one uses a SimpleImputer with `keep_empty_features=False` and `add_indicator=True`, then if a column has only missing values during fit, but has values during transform, then the inverse transform will shift all ... | 27,012 |
https://github.com/scikit-learn/scikit-learn/issues/27012 | [
"Bug",
"help wanted"
] | inverse_transform of SimpleImputer with empty features changes order of columns
### Describe the bug
When one uses a SimpleImputer with `keep_empty_features=False` and `add_indicator=True`, then if a column has only missing values during fit, but has values during transform, then the inverse transform will shift all ... | 27,012 |
https://github.com/scikit-learn/scikit-learn/issues/27012 | [
"Bug",
"help wanted"
] | inverse_transform of SimpleImputer with empty features changes order of columns
### Describe the bug
When one uses a SimpleImputer with `keep_empty_features=False` and `add_indicator=True`, then if a column has only missing values during fit, but has values during transform, then the inverse transform will shift all ... | 27,012 |
https://github.com/scikit-learn/scikit-learn/issues/27012 | [
"Bug",
"help wanted"
] | inverse_transform of SimpleImputer with empty features changes order of columns
### Describe the bug
When one uses a SimpleImputer with `keep_empty_features=False` and `add_indicator=True`, then if a column has only missing values during fit, but has values during transform, then the inverse transform will shift all ... | 27,012 |
https://github.com/scikit-learn/scikit-learn/issues/27012 | [
"Bug",
"help wanted"
] | inverse_transform of SimpleImputer with empty features changes order of columns
### Describe the bug
When one uses a SimpleImputer with `keep_empty_features=False` and `add_indicator=True`, then if a column has only missing values during fit, but has values during transform, then the inverse transform will shift all ... | 27,012 |
https://github.com/scikit-learn/scikit-learn/issues/27008 | [
"Needs Triage"
] | Should we consider moving from legacy numpy `RandomState` to `Random.Generator`?
Numpy `RandomState` is now legacy ("This generator is considered frozen and will have no further improvement") and the [documentation](https://numpy.org/doc/stable/reference/random/legacy.html#legacy-random-generation) advises against usi... | 27,008 |
https://github.com/scikit-learn/scikit-learn/issues/27007 | [
"Needs Triage"
] | Comment is confusing.
This is probably not very important, but the comment [here](https://github.com/scikit-learn/scikit-learn/blob/38a06e4be504f3971d109d6741b8b4c7192d7323/sklearn/tree/_tree.pyx#L1270) on line 1270 confused me a bit. I imagine it's redundant and can be removed?
COMMENT:
I don't think we want to remo... | 27,007 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27004 | [
"New Feature"
] | Upload musllinux wheel to PyPI
### Describe the workflow you want to enable
I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.
Pip shows my my platform tags as
```
cp311-cp311-musllinux_1_2_x86_64
cp311-cp311-... | 27,004 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
https://github.com/scikit-learn/scikit-learn/issues/27000 | [
"Moderate",
"API"
] | make cross_val_predict use cross_validate
Right now `cross_val_score` is a wrapper for `cross_validate`, but `cross_val_predict` has its own implementation.
We could make it also a wrapper around `cross_validate`, but for that to happen, we need to make `cross_validate` also return predictions. For that, we would a... | 27,000 |
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