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/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27090 | [
"Sprint",
"module:test-suite",
"Meta-issue",
"good first PR to review"
] | TST Extend tests for `scipy.sparse.*array`
SciPy sparse matrices (i.e. `scipy.sparse.*matrix`) are tested but their sparse arrays counterpart (i.e. `scipy.sparse.*array`) aren't yet will become ubiquitous (see #26418).
Tests and their parameterizations (when they exist) must be adapted to include `scipy.sparse.*arr... | 27,090 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27088 | [
"Bug",
"module:preprocessing"
] | Wrong infrequent categories and error in OrdinalEncoder
### Describe the bug
When I manually set the numpy object to `categories` in OrdinalEncoder, I got wrong `infrequent_categories_`.
If I run `fit_transform`, then I got an error. See the code below.
### Steps/Code to Reproduce
```python
import numpy as np
f... | 27,088 |
https://github.com/scikit-learn/scikit-learn/issues/27087 | [
"New Feature"
] | Add precompute in MultiTask Linear Models
### Describe the workflow you want to enable
Adding a '**precompute**' parameter into constructor of **MultiTaskElasticNet**, **MultiTaskLasso**, **MultiTaskElasticNetCV**, and **MultiTaskLassoCV** in **linear_model/_coordinate_descent.py**
This parameter is only present i... | 27,087 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27086 | [
"Performance",
"Needs Benchmarks",
"cython"
] | DIS: Cython 3 perf regressions
It looks like scikit-learn hasn't updated to Cython 3 yet, but when you do, can you keep an eye out for performance regressions?
On pandas, we updated to Cython 3 but then reverted, since we had issues with some of our benchmarks regressing, and it would be nice to know if this is a b... | 27,086 |
https://github.com/scikit-learn/scikit-learn/issues/27085 | [
"Bug",
"Needs Triage"
] | MAINT validate_params for plot_tree (#25882)
### Describe the bug
The March 20, 2023 commit (MAINT validate_params for plot_tree (#25882) ) of the file:
**scikit-learn/sklearn/tree/_export.py**
introduced the parameter validation of the **plot_tree** function that does not seem to agree with the documentation ... | 27,085 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27081 | [
"Bug",
"Needs Triage"
] | BisectingKMeans floating point exception fatal error on OSX
### Describe the bug
Hi, thanks for this fantastic library 🚀 🎉
I believe I found a bug. In the BisectingKMeans clustering, the `predict` function cannot be used when the to-be-predicted-data is on a different numerical scale than the fitted data. Oth... | 27,081 |
https://github.com/scikit-learn/scikit-learn/issues/27080 | [
"Needs Triage"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas ⚠️
**CI failed on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=57986&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Aug 17, 2023)
- test_pairwise_distances_argkmin[45-float32-parallel_on_X-cityblock-... | 27,080 |
https://github.com/scikit-learn/scikit-learn/issues/27080 | [
"Needs Triage"
] | ⚠️ CI failed on Linux.pylatest_pip_openblas_pandas ⚠️
**CI failed on [Linux.pylatest_pip_openblas_pandas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=57986&view=logs&j=78a0bf4f-79e5-5387-94ec-13e67d216d6e)** (Aug 17, 2023)
- test_pairwise_distances_argkmin[45-float32-parallel_on_X-cityblock-... | 27,080 |
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/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/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/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 |
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