html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k | embedding listlengths 768 768 |
|---|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/22841 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer's get_feature_name_out() does not work if encode != 'onehot'
### Describe the bug
If the encode = 'onehot', you can get the names out as intended:
```
from sklearn.preprocessing import KBinsDiscretizer
import pandas as pd
kb = KBinsDiscretizer(n_bins=5, encode='onehot')
kb.fit_transform(pd.DataF... | 22,841 | [
0.030291561037302017,
-0.03311461582779884,
0.030766574665904045,
0.007979586720466614,
0.061745062470436096,
0.05108032375574112,
0.051608942449092865,
0.03942323848605156,
-0.01879635453224182,
0.03613588586449623,
0.0527227558195591,
0.02850448153913021,
0.03409651666879654,
0.061634369... |
https://github.com/scikit-learn/scikit-learn/issues/22840 | [
"Bug"
] | Bunch object appears as :func: role in intersphinx inventory
### Describe the bug
The `Bunch` object appears with the `:py:func:` role in the `objects.inv` file used by intersphinx to reference objects from other projects. As it is a class, I think that it should appear with the `:py:class:` role instead. Otherwise o... | 22,840 | [
0.037997741252183914,
0.028878049924969673,
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0.054750315845012665,
0.006139805540442467,
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-0.04023538902401924,
-0.03798757120966911,
0.06997592002153397,
-0.0026750643737614155,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
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0.006689168978482485,
0.0204048790037632,
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-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
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0.006689168978482485,
0.0204048790037632,
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-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22836 | [
"Bug",
"module:linear_model"
] | Formula for dual gap of elastic net in coordinate descent solver
### Describe the bug
The computation of the dual gap for the elastic net in the coordinate descent solver (`enet_coordinate_descent`) might be wrong.
The elastic net minimizes
```
Primal(w) = (1/2) * ||y - X w||_2^2 + alpha * ||w||_1 + beta/2 * ||w... | 22,836 | [
0.0016878871247172356,
0.04920501261949539,
-0.015301167033612728,
0.015339018777012825,
0.05026783049106598,
-0.000525125244166702,
0.006689168978482485,
0.0204048790037632,
-0.02061787247657776,
-0.0018916671397164464,
0.04174884036183357,
-0.02580624632537365,
0.019201677292585373,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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0.038962725549936295,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
-0.008681382983922958,
0.011124612763524055,
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0.038962725549936295,
0.03376784175634384,
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-0.0038130774628371,
0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
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0.011124612763524055,
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0.038962725549936295,
0.03376784175634384,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
-0.008681382983922958,
0.011124612763524055,
-0.005653850734233856,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
-0.008681382983922958,
0.011124612763524055,
-0.005653850734233856,
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0.038962725549936295,
0.03376784175634384,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
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0.011124612763524055,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
-0.008681382983922958,
0.011124612763524055,
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0.038962725549936295,
0.03376784175634384,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
-0.04643186554312706,
0.06641790270805359,
-0.008681382983922958,
0.011124612763524055,
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0.10522650182247162,
0.000056861419579945505,
-0.0325089655816555,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
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## Context: the new `global_random_seed` fixture
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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"module:test-suite",
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] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
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"module:test-suite",
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] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22827 | [
"help wanted",
"Hard",
"module:test-suite",
"Meta-issue"
] | Improve tests by using global_random_seed fixture to make them less seed-sensitive
## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, when `SKLEARN_TESTS_GLOBAL_RANDOM_SEED`... | 22,827 | [
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https://github.com/scikit-learn/scikit-learn/issues/22818 | [
"New Feature",
"module:neighbors",
"Needs Investigation"
] | Change how KNeighborsClassifier handles tiebreakers
### Describe the workflow you want to enable
I see that KNeighborsClassifier handles tiebreakers by taking the mode of the classes contained with the tie. What about using the sum of the distances as the tiebreaker instead (of using the mode.)
I feel that takin... | 22,818 | [
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https://github.com/scikit-learn/scikit-learn/issues/22818 | [
"New Feature",
"module:neighbors",
"Needs Investigation"
] | Change how KNeighborsClassifier handles tiebreakers
### Describe the workflow you want to enable
I see that KNeighborsClassifier handles tiebreakers by taking the mode of the classes contained with the tie. What about using the sum of the distances as the tiebreaker instead (of using the mode.)
I feel that takin... | 22,818 | [
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https://github.com/scikit-learn/scikit-learn/issues/22818 | [
"New Feature",
"module:neighbors",
"Needs Investigation"
] | Change how KNeighborsClassifier handles tiebreakers
### Describe the workflow you want to enable
I see that KNeighborsClassifier handles tiebreakers by taking the mode of the classes contained with the tie. What about using the sum of the distances as the tiebreaker instead (of using the mode.)
I feel that takin... | 22,818 | [
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https://github.com/scikit-learn/scikit-learn/issues/22818 | [
"New Feature",
"module:neighbors",
"Needs Investigation"
] | Change how KNeighborsClassifier handles tiebreakers
### Describe the workflow you want to enable
I see that KNeighborsClassifier handles tiebreakers by taking the mode of the classes contained with the tie. What about using the sum of the distances as the tiebreaker instead (of using the mode.)
I feel that takin... | 22,818 | [
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https://github.com/scikit-learn/scikit-learn/issues/22813 | [
"Documentation",
"help wanted"
] | Outdated test name in contributing page
### Describe the issue linked to the documentation
On this page https://scikit-learn.org/stable/developers/contributing.html#contributing-code in the "Pull request checklist" section, test command `pytest sklearn/linear_model/logistic.py`.
The logistic.py file does not exist (... | 22,813 | [
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https://github.com/scikit-learn/scikit-learn/issues/22813 | [
"Documentation",
"help wanted"
] | Outdated test name in contributing page
### Describe the issue linked to the documentation
On this page https://scikit-learn.org/stable/developers/contributing.html#contributing-code in the "Pull request checklist" section, test command `pytest sklearn/linear_model/logistic.py`.
The logistic.py file does not exist (... | 22,813 | [
0.06576000154018402,
-0.004223797935992479,
-0.021244289353489876,
-0.02047557383775711,
0.010108348913490772,
0.05304384604096413,
0.09949678182601929,
0.05189118534326553,
0.02338412031531334,
-0.012879645451903343,
0.06465545296669006,
-0.011557045392692089,
-0.01198805682361126,
0.0250... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22811 | [
"New Feature",
"module:neighbors",
"Needs Info"
] | KNeighborsClassifier: allow p value for Minkowski calculation to be less than 1.0 (and greater than 0)
### Describe the workflow you want to enable
I would like to be able to use the KNeighborsClassifier with something like:
`neigh = KNeighborsClassifier(n_neighbors=2, p=0.1)`
The error you get is:
```
File... | 22,811 | [
-0.04252993315458298,
-0.008032754994928837,
0.010418057441711426,
-0.02986721135675907,
0.02471339702606201,
-0.023925485089421272,
0.011937330476939678,
0.021517321467399597,
-0.045587167143821716,
-0.03786944970488548,
0.03314701095223427,
0.007836643606424332,
-0.034817568957805634,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/22770 | [
"New Feature",
"module:impute",
"Needs Decision - Include Feature"
] | Allow other initialization strategies for IterativeImputer
### Describe the workflow you want to enable
I want to initialize an `IterativeImputer` using a `KNNImputer` rather than a `SimpleImputer`.
### Describe your proposed solution
Modifying `IterativeImputer` to accept instances of `_BaseImputer` as `initial_st... | 22,770 | [
-0.02548939734697342,
0.04834003373980522,
0.026898903772234917,
-0.04364485293626785,
-0.03722793981432915,
-0.00930657610297203,
0.07324909418821335,
0.029312700033187866,
-0.014572217129170895,
0.013051340356469154,
0.023846449330449104,
0.04317416623234749,
-0.025023119524121284,
0.003... |
https://github.com/scikit-learn/scikit-learn/issues/22768 | [
"Bug",
"Needs Reproducible Code"
] | TypeError: Expected sequence or array-like, got <class 'int'>
### Describe the bug
I built **sklearn v1.1dev0** from source following this **[here](https://scikit-learn.org/stable/developers/advanced_installation.html)**
I am not sure it's a bug or not, but I get this:
```
Traceback (most recent call last):
... | 22,768 | [
-0.0008027193252928555,
-0.007343783508986235,
-0.0035506412386894226,
-0.007349918130785227,
0.11585085839033127,
0.03836582228541374,
0.03842058777809143,
0.05774526298046112,
0.060539960861206055,
-0.013361590914428234,
0.06144417077302933,
0.037154290825128555,
0.01763944700360298,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22768 | [
"Bug",
"Needs Reproducible Code"
] | TypeError: Expected sequence or array-like, got <class 'int'>
### Describe the bug
I built **sklearn v1.1dev0** from source following this **[here](https://scikit-learn.org/stable/developers/advanced_installation.html)**
I am not sure it's a bug or not, but I get this:
```
Traceback (most recent call last):
... | 22,768 | [
-0.0008027193252928555,
-0.007343783508986235,
-0.0035506412386894226,
-0.007349918130785227,
0.11585085839033127,
0.03836582228541374,
0.03842058777809143,
0.05774526298046112,
0.060539960861206055,
-0.013361590914428234,
0.06144417077302933,
0.037154290825128555,
0.01763944700360298,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22768 | [
"Bug",
"Needs Reproducible Code"
] | TypeError: Expected sequence or array-like, got <class 'int'>
### Describe the bug
I built **sklearn v1.1dev0** from source following this **[here](https://scikit-learn.org/stable/developers/advanced_installation.html)**
I am not sure it's a bug or not, but I get this:
```
Traceback (most recent call last):
... | 22,768 | [
-0.0008027193252928555,
-0.007343783508986235,
-0.0035506412386894226,
-0.007349918130785227,
0.11585085839033127,
0.03836582228541374,
0.03842058777809143,
0.05774526298046112,
0.060539960861206055,
-0.013361590914428234,
0.06144417077302933,
0.037154290825128555,
0.01763944700360298,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22768 | [
"Bug",
"Needs Reproducible Code"
] | TypeError: Expected sequence or array-like, got <class 'int'>
### Describe the bug
I built **sklearn v1.1dev0** from source following this **[here](https://scikit-learn.org/stable/developers/advanced_installation.html)**
I am not sure it's a bug or not, but I get this:
```
Traceback (most recent call last):
... | 22,768 | [
-0.0008027193252928555,
-0.007343783508986235,
-0.0035506412386894226,
-0.007349918130785227,
0.11585085839033127,
0.03836582228541374,
0.03842058777809143,
0.05774526298046112,
0.060539960861206055,
-0.013361590914428234,
0.06144417077302933,
0.037154290825128555,
0.01763944700360298,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22766 | [
"Bug",
"Documentation"
] | Conda install code not showing in the docs
### Describe the bug
On the [installation page](https://scikit-learn.org/stable/install.html), when selecting the `conda` package and any operating system, the install code does not render.
**Tested Browsers**
* Chrome Version 99.0.4844.51 (Official Build) (x86_64)
* Sa... | 22,766 | [
0.03256390243768692,
-0.018653713166713715,
-0.0356314443051815,
0.007020917255431414,
0.058216698467731476,
0.009474055841565132,
0.0032330574467778206,
0.042039718478918076,
0.023128438740968704,
-0.004480665549635887,
-0.031176554039120674,
0.038784172385931015,
0.056345805525779724,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/22766 | [
"Bug",
"Documentation"
] | Conda install code not showing in the docs
### Describe the bug
On the [installation page](https://scikit-learn.org/stable/install.html), when selecting the `conda` package and any operating system, the install code does not render.
**Tested Browsers**
* Chrome Version 99.0.4844.51 (Official Build) (x86_64)
* Sa... | 22,766 | [
0.03473882004618645,
-0.021149666979908943,
-0.03832807019352913,
0.010947827249765396,
0.052719246596097946,
0.006891792174428701,
0.0008231333340518177,
0.04108968749642372,
0.015619145706295967,
-0.0031354243401437998,
-0.025812547653913498,
0.04112718999385834,
0.05261838808655739,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.044133227318525314,
0.11760593950748444,
0.011083563789725304,
-0.034050654619932175,
-0.05538374185562134,
-0.04309329763054848,
0.04238627851009369,
0.007842782884836197,
0.03411796689033508,
0.026959238573908806,
0.016975220292806625,
0.07511009275913239,
-0.015632834285497665,
0.062... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.03403204679489136,
0.13246466219425201,
0.008309343829751015,
-0.03892262279987335,
-0.06148798391222954,
-0.04915231838822365,
0.05093248188495636,
0.016973748803138733,
0.015041233040392399,
0.015294249169528484,
0.028262756764888763,
0.07099028676748276,
-0.017440011724829674,
0.0720... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.0436810702085495,
0.12367208302021027,
0.010906847193837166,
-0.03961879387497902,
-0.059502728283405304,
-0.044507335871458054,
0.04423549026250839,
0.018430981785058975,
0.024080492556095123,
0.020527498796582222,
0.03091268800199032,
0.06741178780794144,
-0.01780841499567032,
0.06625... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.04006331041455269,
0.1328851878643036,
0.008079391904175282,
-0.03195446729660034,
-0.060011811554431915,
-0.03994119167327881,
0.05720001086592674,
0.020003587007522583,
0.032531317323446274,
0.013986563310027122,
0.02878265082836151,
0.06895864754915237,
-0.025929993018507957,
0.06782... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.03647909685969353,
0.14034099876880646,
0.010479927062988281,
-0.04007669910788536,
-0.05181589350104332,
-0.04114709421992302,
0.04884827509522438,
0.019326340407133102,
0.02430587448179722,
0.01252148486673832,
0.03814023360610008,
0.07504553347826004,
-0.024041829630732536,
0.0590149... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.028591206297278404,
0.12640473246574402,
0.011341220699250698,
-0.03543618693947792,
-0.06425528973340988,
-0.03694646805524826,
0.04236647114157677,
0.011815391480922699,
0.03656316548585892,
0.02609795145690441,
0.03331444412469864,
0.08349647372961044,
-0.018446503207087517,
0.064734... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.03325141221284866,
0.1286771148443222,
0.010887976735830307,
-0.03833405673503876,
-0.06329529732465744,
-0.042056795209646225,
0.05173410102725029,
0.01852249912917614,
0.04539063945412636,
0.01778055913746357,
0.02841910906136036,
0.07686275243759155,
-0.024122437462210655,
0.07078325... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.03428976982831955,
0.14516234397888184,
0.008565753698348999,
-0.02880953811109066,
-0.06368125230073929,
-0.052995648235082626,
0.06733829528093338,
0.015514475293457508,
0.028146976605057716,
0.019828924909234047,
0.012141922488808632,
0.0663551539182663,
-0.025080056861042976,
0.0765... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.028372736647725105,
0.15241746604442596,
0.006444334052503109,
-0.03438097611069679,
-0.06334621459245682,
-0.0445118173956871,
0.06311281025409698,
0.018702907487750053,
0.022941360250115395,
0.012427233159542084,
0.025568591430783272,
0.07377971708774567,
-0.02817816659808159,
0.08005... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.027664704248309135,
0.13247321546077728,
0.013906593434512615,
-0.031058961525559425,
-0.0689314529299736,
-0.04221716523170471,
0.06984957307577133,
0.014773847535252571,
0.04339676350355148,
0.021012024953961372,
0.01545356959104538,
0.07565997540950775,
-0.0209091417491436,
0.0683820... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.04218267649412155,
0.13517697155475616,
0.006509045604616404,
-0.03760800138115883,
-0.05728540197014809,
-0.04459837079048157,
0.05265078321099281,
0.023258034139871597,
0.016408782452344894,
0.022112224251031876,
0.025056742131710052,
0.09027378261089325,
-0.01899060234427452,
0.07519... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.044353410601615906,
0.12494178861379623,
0.010867064818739891,
-0.043346911668777466,
-0.0722440555691719,
-0.04074257239699364,
0.041979823261499405,
0.01228648517280817,
0.031488727778196335,
0.02189413085579872,
0.0342467837035656,
0.06463675945997238,
-0.014660988003015518,
0.059157... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.03437914699316025,
0.135895773768425,
0.01246713288128376,
-0.033404458314180374,
-0.07038504630327225,
-0.046407826244831085,
0.06104855611920357,
0.02039085328578949,
0.030410032719373703,
0.02100392058491707,
0.023603003472089767,
0.07351106405258179,
-0.016952406615018845,
0.0708316... |
https://github.com/scikit-learn/scikit-learn/issues/22759 | [
"API",
"RFC"
] | RFC introduce methods to get and set estimators' state
Right now `clone` uses `{get, set}_params` to replicate an unfit estimator. These methods are designed to return esimators' hyperparameters. At the moment, we have no way of getting the state of a fitted estimator in a non-pickle format.
Pickle files are by des... | 22,759 | [
-0.027953216806054115,
0.13029879331588745,
0.01753762550652027,
-0.029550036415457726,
-0.06250006705522537,
-0.04049042612314224,
0.04918687790632248,
0.012532067485153675,
0.04553179815411568,
0.015750344842672348,
0.027063116431236267,
0.0965389683842659,
-0.024664876982569695,
0.09007... |
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