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/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26808 | [
"Performance",
"Needs Investigation"
] | Speed up classification_report
### Describe the workflow you want to enable
I'm concerned with slow execution speed of the classification_report procedure which makes it barely suitable for production-grade workloads.
On a 8M sample it already takes 15 seconds whereas simple POC numba implementation takes 20 to 4... | 26,808 |
https://github.com/scikit-learn/scikit-learn/issues/26802 | [
"Bug"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 10, 2024) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=68533&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 10, 2024)
- test_fastica_eigh_low_rank... | 26,802 |
https://github.com/scikit-learn/scikit-learn/issues/26802 | [
"Bug"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 10, 2024) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=68533&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 10, 2024)
- test_fastica_eigh_low_rank... | 26,802 |
https://github.com/scikit-learn/scikit-learn/issues/26802 | [
"Bug"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 10, 2024) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=68533&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 10, 2024)
- test_fastica_eigh_low_rank... | 26,802 |
https://github.com/scikit-learn/scikit-learn/issues/26802 | [
"Bug"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 10, 2024) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=68533&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 10, 2024)
- test_fastica_eigh_low_rank... | 26,802 |
https://github.com/scikit-learn/scikit-learn/issues/26802 | [
"Bug"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl (last failure: Jul 10, 2024) ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=68533&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jul 10, 2024)
- test_fastica_eigh_low_rank... | 26,802 |
https://github.com/scikit-learn/scikit-learn/issues/26801 | [
"New Feature",
"Moderate",
"module:cluster",
"cython"
] | HDBSCAN Ongoing Work
## Introduction
This is a (hopefully) exhaustive list of ongoing/future work for HDBSCAN. These have all been discussed and are considered wanted, but some still require thorough investigation (especially heuristic evaluations).
## Priority List
The higher priority items appear earlier in... | 26,801 |
https://github.com/scikit-learn/scikit-learn/issues/26801 | [
"New Feature",
"Moderate",
"module:cluster",
"cython"
] | HDBSCAN Ongoing Work
## Introduction
This is a (hopefully) exhaustive list of ongoing/future work for HDBSCAN. These have all been discussed and are considered wanted, but some still require thorough investigation (especially heuristic evaluations).
## Priority List
The higher priority items appear earlier in... | 26,801 |
https://github.com/scikit-learn/scikit-learn/issues/26801 | [
"New Feature",
"Moderate",
"module:cluster",
"cython"
] | HDBSCAN Ongoing Work
## Introduction
This is a (hopefully) exhaustive list of ongoing/future work for HDBSCAN. These have all been discussed and are considered wanted, but some still require thorough investigation (especially heuristic evaluations).
## Priority List
The higher priority items appear earlier in... | 26,801 |
https://github.com/scikit-learn/scikit-learn/issues/26799 | [
"New Feature",
"Needs Triage"
] | C++ back-end library for scikit-learn ?
### Describe the workflow you want to enable
Hi,
This question is related to the design of a clear separation of back-end computational code of algorithms and the front-end code of plotting/data access/doc/tests/benchmarks.
The two environments are clearly not related. T... | 26,799 |
https://github.com/scikit-learn/scikit-learn/issues/26798 | [
"Bug"
] | Backward compatibility issue for loading models with joblib in 1.3.0
### Describe the bug
Version 1.3.0 has broken backward compatibility for loading older models with `joblib`.
### Steps/Code to Reproduce
## Step 1 : Save a model in 1.2.X
```python
import sklearn as sk
from sklearn.ensemble import RandomForestReg... | 26,798 |
https://github.com/scikit-learn/scikit-learn/issues/26794 | [
"Enhancement"
] | Handle np.nan / missing values in KBinsDiscretizer
Especially when the output is one-hot encoded, it would be quite natural to encode missing values as zeros or add an extra missingness indicator feature.
Related to:
- https://github.com/scikit-learn/scikit-learn/issues/26793
COMMENT:
@ogrisel Do we want to han... | 26,794 |
https://github.com/scikit-learn/scikit-learn/issues/26794 | [
"Enhancement"
] | Handle np.nan / missing values in KBinsDiscretizer
Especially when the output is one-hot encoded, it would be quite natural to encode missing values as zeros or add an extra missingness indicator feature.
Related to:
- https://github.com/scikit-learn/scikit-learn/issues/26793
COMMENT:
Also just for reference I ... | 26,794 |
https://github.com/scikit-learn/scikit-learn/issues/26794 | [
"Enhancement"
] | Handle np.nan / missing values in KBinsDiscretizer
Especially when the output is one-hot encoded, it would be quite natural to encode missing values as zeros or add an extra missingness indicator feature.
Related to:
- https://github.com/scikit-learn/scikit-learn/issues/26793
COMMENT:
I think `OrdinalEncoder` c... | 26,794 |
https://github.com/scikit-learn/scikit-learn/issues/26794 | [
"Enhancement"
] | Handle np.nan / missing values in KBinsDiscretizer
Especially when the output is one-hot encoded, it would be quite natural to encode missing values as zeros or add an extra missingness indicator feature.
Related to:
- https://github.com/scikit-learn/scikit-learn/issues/26793
COMMENT:
I had a look at this issue... | 26,794 |
https://github.com/scikit-learn/scikit-learn/issues/26794 | [
"Enhancement"
] | Handle np.nan / missing values in KBinsDiscretizer
Especially when the output is one-hot encoded, it would be quite natural to encode missing values as zeros or add an extra missingness indicator feature.
Related to:
- https://github.com/scikit-learn/scikit-learn/issues/26793
COMMENT:
It seems those questions h... | 26,794 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26793 | [
"Enhancement"
] | Handle np.nan / missing values in SplineTransformer
I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_missing="zero"`/"constant": encode missing values by setting all ou... | 26,793 |
https://github.com/scikit-learn/scikit-learn/issues/26791 | [
"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=58166&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Aug 22, 2023)
- test_imputation_mean_median_error_invalid_type[None-m... | 26,791 |
https://github.com/scikit-learn/scikit-learn/issues/26791 | [
"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=58166&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Aug 22, 2023)
- test_imputation_mean_median_error_invalid_type[None-m... | 26,791 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26784 | [
"API",
"RFC",
"module:ensemble"
] | RFC deprecate the SAMME.R algorithm in AdaBoostClassifier
While working on the following example (https://github.com/scikit-learn/scikit-learn/pull/26486), I found a couple of issues regarding the SAMME.R algorithm, which is the default algorithm in `AdaBoostClassifier`:
- The algorithm was implemented based on the... | 26,784 |
https://github.com/scikit-learn/scikit-learn/issues/26782 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | Handling NaNs in VotingClassifier
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26740
<div type='discussions-op-text'>
<sup>Originally posted by **alrichardbollans** June 30, 2023</sup>
I am using a soft voting classifier to combine the output of two base estimators. One of these bas... | 26,782 |
https://github.com/scikit-learn/scikit-learn/issues/26782 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | Handling NaNs in VotingClassifier
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26740
<div type='discussions-op-text'>
<sup>Originally posted by **alrichardbollans** June 30, 2023</sup>
I am using a soft voting classifier to combine the output of two base estimators. One of these bas... | 26,782 |
https://github.com/scikit-learn/scikit-learn/issues/26782 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | Handling NaNs in VotingClassifier
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26740
<div type='discussions-op-text'>
<sup>Originally posted by **alrichardbollans** June 30, 2023</sup>
I am using a soft voting classifier to combine the output of two base estimators. One of these bas... | 26,782 |
https://github.com/scikit-learn/scikit-learn/issues/26782 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | Handling NaNs in VotingClassifier
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26740
<div type='discussions-op-text'>
<sup>Originally posted by **alrichardbollans** June 30, 2023</sup>
I am using a soft voting classifier to combine the output of two base estimators. One of these bas... | 26,782 |
https://github.com/scikit-learn/scikit-learn/issues/26782 | [
"module:ensemble",
"Needs Decision - Include Feature"
] | Handling NaNs in VotingClassifier
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26740
<div type='discussions-op-text'>
<sup>Originally posted by **alrichardbollans** June 30, 2023</sup>
I am using a soft voting classifier to combine the output of two base estimators. One of these bas... | 26,782 |
https://github.com/scikit-learn/scikit-learn/issues/26780 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/5513128176254976)** (Jul 06, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/5513128176254976) on Jul 06, 2023 | 26,780 |
https://github.com/scikit-learn/scikit-learn/issues/26780 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/5513128176254976)** (Jul 06, 2023)
COMMENT:
The error looked like a xdist issue. I restarted the build and it completed successfully. I'm closing this | 26,780 |
https://github.com/scikit-learn/scikit-learn/issues/26780 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/5513128176254976)** (Jul 06, 2023)
COMMENT:
Actually it looks like a recurring thing. Let keep this one closed in favor of https://github.com/scikit-learn/scikit-learn/issues/26745 | 26,780 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
So the documentation should in... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
We're talking here about a doc... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
Oh it means their is need to m... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
Yes. | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
adding doc reference of `Dista... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
@Shreesha3112 you're giving a ... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26776 | [
"Documentation"
] | Document the class DistanceMetric
Right now we don't have any documentation for the public class `DistanceMetric`.
It would be nice to have a description.
xref: https://scikit-learn.org/dev/modules/generated/sklearn.metrics.DistanceMetric.html#sklearn.metrics.DistanceMetric
COMMENT:
> @Shreesha3112 you're giving ... | 26,776 |
https://github.com/scikit-learn/scikit-learn/issues/26775 | [
"New Feature"
] | making mutual_info_regression more verbose
### Describe the workflow you want to enable
Hi,
Thanks for coding up `mutual_info_regression`, I use it for novel space science research and it's super helpful for me.
I'm currently using it to analyse quite large amounts of data, and understandably this can be quite... | 26,775 |
https://github.com/scikit-learn/scikit-learn/issues/26775 | [
"New Feature"
] | making mutual_info_regression more verbose
### Describe the workflow you want to enable
Hi,
Thanks for coding up `mutual_info_regression`, I use it for novel space science research and it's super helpful for me.
I'm currently using it to analyse quite large amounts of data, and understandably this can be quite... | 26,775 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26768 | [
"Bug"
] | AttributeError "Flags object has no attribute 'c_contiguous'" when using KNeighborsClassifier predict
### Describe the bug
I tried to build a K-nearest neighbor model. I used the default ``weights`` parameter and called the ``predict`` method with a pandas DataFrame object and got the following error:
AttributeE... | 26,768 |
https://github.com/scikit-learn/scikit-learn/issues/26767 | [
"Needs Triage"
] | The full numerical results of v2
Hello, I'm so glad to see the release of open-flamingo v2, you guys are doing amazing things! Could you please give the full numerical results? I only find the 4-shot results.
COMMENT:
Looks like you created this issue in the wrong repository. | 26,767 |
https://github.com/scikit-learn/scikit-learn/issues/26766 | [
"Bug"
] | CalibratedClassifierCV fails silently with large confidence scores
https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8ddf92a7e5561245224dab102/sklearn/calibration.py#L892
With default `method='sigmoid'`, `CalibratedClassifierCV` may fail silently, giving an AUC score of 0.5, apparently when the class... | 26,766 |
https://github.com/scikit-learn/scikit-learn/issues/26766 | [
"Bug"
] | CalibratedClassifierCV fails silently with large confidence scores
https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8ddf92a7e5561245224dab102/sklearn/calibration.py#L892
With default `method='sigmoid'`, `CalibratedClassifierCV` may fail silently, giving an AUC score of 0.5, apparently when the class... | 26,766 |
https://github.com/scikit-learn/scikit-learn/issues/26766 | [
"Bug"
] | CalibratedClassifierCV fails silently with large confidence scores
https://github.com/scikit-learn/scikit-learn/blob/7f9bad99d6e0a3e8ddf92a7e5561245224dab102/sklearn/calibration.py#L892
With default `method='sigmoid'`, `CalibratedClassifierCV` may fail silently, giving an AUC score of 0.5, apparently when the class... | 26,766 |
https://github.com/scikit-learn/scikit-learn/issues/26763 | [
"Documentation",
"Build / CI"
] | The jupyterlite button of scikit-learn.org/stable for 1.3.0 still uses sklearn.__version__ 1.2.2
We probably need to check if there is a new version of pyodide that includes scikit-learn 1.3.0 and then update: `doc/jupyter-lite.json` because the pyodide version is pinned.
I am not sure how to update the release pro... | 26,763 |
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