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/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31679 | [
"RFC"
] | AI tools like Copilot Coding Agent don't know about / don't respect our Automated Contributions Policy
(I am creating an issue to a PR already opened (#31643), because there are many more ways to solve the problem.)
AI tools many people use to create PRs don't care about our [Automated Contributions Policy](https://s... | 31,679 | [
0.007694758474826813,
0.07915767282247543,
-0.013246247544884682,
-0.06592050194740295,
-0.021395811811089516,
-0.02479386329650879,
0.04883323237299919,
-0.004433215130120516,
-0.025824768468737602,
-0.015116183087229729,
0.031336087733507156,
0.07885514944791794,
-0.025618435814976692,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.054032351821660995,
-0.007326515857130289,
0.03501470759510994,
-0.03154178336262703,
0.0552385151386261,
-0.07273372262716293,
-0.009532022289931774,
0.07682578265666962,
-0.03874863684177399,
0.02824268862605095,
-0.005150242708623409,
0.04910952225327492,
-0.04506250470876694,
0.0905... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.04631156474351883,
-0.009154685772955418,
0.030826810747385025,
-0.04037919268012047,
0.05806581303477287,
-0.05364873632788658,
-0.026626795530319214,
0.0863422155380249,
-0.06127423793077469,
0.005810928530991077,
-0.00953859556466341,
0.029382267966866493,
-0.01577536016702652,
0.092... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.07039906829595566,
-0.014951243065297604,
0.013423583470284939,
-0.049571238458156586,
0.03280700743198395,
-0.05772215873003006,
-0.046321138739585876,
0.06108368560671806,
-0.0433041974902153,
0.0067613087594509125,
0.006927351467311382,
0.009712368249893188,
-0.04532403126358986,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.06199844554066658,
-0.02829471044242382,
0.020979279652237892,
-0.05846363306045532,
0.022666260600090027,
-0.050550803542137146,
-0.02358824387192726,
0.06265587359666824,
0.006597260478883982,
-0.010775080882012844,
-0.005115020554512739,
0.00601923605427146,
-0.04328570514917374,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.040640924125909805,
-0.007066153455525637,
0.03708067163825035,
-0.039557963609695435,
0.0595802403986454,
-0.05946347117424011,
-0.026209525763988495,
0.08357643336057663,
-0.06742994487285614,
0.003719515400007367,
-0.006266921758651733,
0.027748411521315575,
-0.022470002993941307,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.03664471581578255,
-0.01143784448504448,
0.007014777977019548,
-0.012317964807152748,
0.033939410001039505,
-0.07495689392089844,
0.0007764588226564229,
0.06303972005844116,
-0.05345931649208069,
0.023108670487999916,
0.001078604138456285,
0.03583863377571106,
-0.0783909261226654,
0.084... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.043527837842702866,
0.007237445563077927,
0.0012759811943396926,
-0.047226328402757645,
0.03500991314649582,
-0.06591026484966278,
0.014624219387769699,
0.05348851904273033,
-0.05720696225762367,
0.03650646284222603,
0.01916380040347576,
0.012192982248961926,
-0.029312418773770332,
0.11... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.04445857182145119,
-0.010507190600037575,
0.008986085653305054,
-0.013125034049153328,
0.023363322019577026,
-0.06872134655714035,
0.002160245319828391,
0.06500941514968872,
-0.06083378568291664,
0.014741639606654644,
-0.0032744782511144876,
0.02162322960793972,
-0.07374364882707596,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31672 | [
"Enhancement",
"API",
"Needs Investigation"
] | ENH Add clip parameter to MaxAbsScaler
### Describe the workflow you want to enable
Add a `clip` parameter to `MaxAbsScaler` that will allow for clipping values that exceed the maximum value seen during the training stage.
### Describe your proposed solution
Similar to `MinMaxScaler`, but in this case it will clip ... | 31,672 | [
-0.04584050551056862,
-0.0067589557729661465,
0.01738082431256771,
-0.022607583552598953,
0.034525543451309204,
-0.07248346507549286,
-0.020121248438954353,
0.06165303662419319,
-0.05184118077158928,
0.025253860279917717,
0.012049064971506596,
0.0268109068274498,
-0.07899801433086395,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/31668 | [
"Bug",
"Performance",
"module:preprocessing",
"Needs Investigation"
] | memory leak for QuantileTransformer
### Describe the bug
There is a doubling of the memory footprint when QuantileTransformer is called on a dataframe and old references to the dataframe are discarded. See repro.
### Steps/Code to Reproduce
```python
import sys, os, gc, psutil
import numpy as np
import pandas as ... | 31,668 | [
-0.006329006049782038,
0.053780242800712585,
0.01370511669665575,
0.008494832552969456,
0.09320259094238281,
0.008940580300986767,
-0.025417165830731392,
0.030206069350242615,
-0.03849780559539795,
0.019471004605293274,
0.025135258212685585,
0.014697789214551449,
-0.004786835052073002,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/31668 | [
"Bug",
"Performance",
"module:preprocessing",
"Needs Investigation"
] | memory leak for QuantileTransformer
### Describe the bug
There is a doubling of the memory footprint when QuantileTransformer is called on a dataframe and old references to the dataframe are discarded. See repro.
### Steps/Code to Reproduce
```python
import sys, os, gc, psutil
import numpy as np
import pandas as ... | 31,668 | [
-0.006329006049782038,
0.053780242800712585,
0.01370511669665575,
0.008494832552969456,
0.09320259094238281,
0.008940580300986767,
-0.025417165830731392,
0.030206069350242615,
-0.03849780559539795,
0.019471004605293274,
0.025135258212685585,
0.014697789214551449,
-0.004786835052073002,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/31668 | [
"Bug",
"Performance",
"module:preprocessing",
"Needs Investigation"
] | memory leak for QuantileTransformer
### Describe the bug
There is a doubling of the memory footprint when QuantileTransformer is called on a dataframe and old references to the dataframe are discarded. See repro.
### Steps/Code to Reproduce
```python
import sys, os, gc, psutil
import numpy as np
import pandas as ... | 31,668 | [
-0.006329006049782038,
0.053780242800712585,
0.01370511669665575,
0.008494832552969456,
0.09320259094238281,
0.008940580300986767,
-0.025417165830731392,
0.030206069350242615,
-0.03849780559539795,
0.019471004605293274,
0.025135258212685585,
0.014697789214551449,
-0.004786835052073002,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31659 | [
"Bug",
"Metadata Routing"
] | Metadata not routed to transformers in pipeline during cross validation.
### Describe the bug
When using a pipeline with transformers in combination with cross validation, it seems that metadata is not correctly routed to the transformers during prediction. I would expect, that if `set_transform_request` is set, that... | 31,659 | [
-0.009716134518384933,
-0.001173515454865992,
0.018914518877863884,
-0.01560300961136818,
0.0764555037021637,
-0.029473237693309784,
0.014210316352546215,
-0.013911268673837185,
-0.028286481276154518,
-0.02075868286192417,
0.005963831674307585,
0.035233184695243835,
0.016382312402129173,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31657 | [
"Documentation",
"Needs Investigation"
] | DOC Managing huntr security vulnerability reports
### Describe the issue linked to the documentation
### Issues
- The project receives reports from huntr that are not useful.
- The reports from huntr are time consuming and use up limited maintainer resources.
### Discussion / Proposal
- Update our [SECURITY.md](http... | 31,657 | [
0.052433986216783524,
0.030412582680583,
0.04219932109117508,
-0.049967557191848755,
-0.023364631459116936,
-0.002758398652076721,
0.032279595732688904,
0.005549951456487179,
-0.0010156364878639579,
-0.05405009165406227,
0.02895226515829563,
0.041225366294384,
0.007231672294437885,
0.06355... |
https://github.com/scikit-learn/scikit-learn/issues/31653 | [
"Documentation"
] | DOC About Us page - clarify team descriptions
### Describe the issue linked to the documentation
References #31430
[@thomasjpfan note](https://github.com/scikit-learn/scikit-learn/pull/31430#issuecomment-2914501524):
>With the current governance, all the named roles are considered "core". Specifically, the contribu... | 31,653 | [
0.06698499619960785,
-0.03775573521852493,
-0.011755354702472687,
-0.028293978422880173,
0.01250598207116127,
0.015545353293418884,
0.008195213042199612,
-0.04202800989151001,
-0.07796660810709,
-0.013196383602917194,
0.04977121576666832,
-0.008650916628539562,
0.02443063072860241,
-0.0213... |
https://github.com/scikit-learn/scikit-learn/issues/31653 | [
"Documentation"
] | DOC About Us page - clarify team descriptions
### Describe the issue linked to the documentation
References #31430
[@thomasjpfan note](https://github.com/scikit-learn/scikit-learn/pull/31430#issuecomment-2914501524):
>With the current governance, all the named roles are considered "core". Specifically, the contribu... | 31,653 | [
0.07474760711193085,
-0.03777916356921196,
-0.016010690480470657,
-0.02158636413514614,
0.020426928997039795,
0.013558009639382362,
0.0002811939048115164,
-0.036266881972551346,
-0.07047861814498901,
-0.011099712923169136,
0.04654690623283386,
-0.011202041991055012,
0.024579646065831184,
-... |
https://github.com/scikit-learn/scikit-learn/issues/31653 | [
"Documentation"
] | DOC About Us page - clarify team descriptions
### Describe the issue linked to the documentation
References #31430
[@thomasjpfan note](https://github.com/scikit-learn/scikit-learn/pull/31430#issuecomment-2914501524):
>With the current governance, all the named roles are considered "core". Specifically, the contribu... | 31,653 | [
0.06795765459537506,
-0.013981129974126816,
-0.016102714464068413,
-0.025826845318078995,
0.01391221210360527,
0.017405107617378235,
0.0026994049549102783,
-0.03638271242380142,
-0.07919114083051682,
-0.008744199760258198,
0.05016940459609032,
-0.006273576524108648,
0.013196520507335663,
-... |
https://github.com/scikit-learn/scikit-learn/issues/31635 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | Two bugs in `sklearn.metrics.roc_curve`: `drop_intermediate=True` option
### Describe the bug
The function `sklearn.metrics.roc_curve` contains two separate (but potentially interacting) bugs related to the `drop_intermediate=True` option. This report describes both.
---
### Bug 1: Incorrect Ordering of `drop_inte... | 31,635 | [
-0.022957922890782356,
-0.013442892581224442,
-0.000688619795255363,
0.016604123637080193,
0.01563951186835766,
-0.013754799030721188,
0.030842935666441917,
0.028833122923970222,
0.005319144111126661,
-0.021385041996836662,
0.06485967338085175,
0.10378782451152802,
0.01081722229719162,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31633 | [
"Bug",
"Needs Decision",
"module:metrics"
] | Check `pos_label` present in `y_true` in metric functions
Noticed while working on https://github.com/scikit-learn/scikit-learn/pull/30508#discussion_r2158871194
Currently the following metric functions do not explicitly check that `pos_label` is present in `y_true`:
* `roc_curve`
* `precision_recall_curve`
* `det_c... | 31,633 | [
-0.020180732011795044,
-0.022472405806183815,
0.02926643192768097,
-0.00644215801730752,
0.07342161238193512,
0.006700813304632902,
0.011579942889511585,
0.028866471722722054,
0.027970680966973305,
-0.010810477659106255,
0.03631116822361946,
-0.016480036079883575,
0.012431547977030277,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31633 | [
"Bug",
"Needs Decision",
"module:metrics"
] | Check `pos_label` present in `y_true` in metric functions
Noticed while working on https://github.com/scikit-learn/scikit-learn/pull/30508#discussion_r2158871194
Currently the following metric functions do not explicitly check that `pos_label` is present in `y_true`:
* `roc_curve`
* `precision_recall_curve`
* `det_c... | 31,633 | [
-0.020180732011795044,
-0.022472405806183815,
0.02926643192768097,
-0.00644215801730752,
0.07342161238193512,
0.006700813304632902,
0.011579942889511585,
0.028866471722722054,
0.027970680966973305,
-0.010810477659106255,
0.03631116822361946,
-0.016480036079883575,
0.012431547977030277,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31628 | [
"Documentation"
] | DOC: Glossary contains several FIXME tags
### Describe the issue linked to the documentation
The Glossary for scikit-learn contains several FIXME tags.
https://scikit-learn.org/dev/glossary.html
### Suggest a potential alternative/fix
FIXME tags can be used for future improvement, but I think they should belong in ... | 31,628 | [
0.022132256999611855,
-0.024228794500231743,
-0.018834194168448448,
0.010382404550909996,
0.004735133610665798,
0.07716287672519684,
0.028386976569890976,
0.02998380921781063,
0.07330606132745743,
-0.04374564811587334,
0.08531643450260162,
-0.02100200019776821,
0.012494043447077274,
0.0374... |
https://github.com/scikit-learn/scikit-learn/issues/31628 | [
"Documentation"
] | DOC: Glossary contains several FIXME tags
### Describe the issue linked to the documentation
The Glossary for scikit-learn contains several FIXME tags.
https://scikit-learn.org/dev/glossary.html
### Suggest a potential alternative/fix
FIXME tags can be used for future improvement, but I think they should belong in ... | 31,628 | [
0.03233601525425911,
-0.03620673343539238,
-0.010224228724837303,
0.013734876178205013,
0.008153230883181095,
0.07468010485172272,
0.031169453635811806,
0.03716249018907547,
0.06231105700135231,
-0.05056828260421753,
0.08758039772510529,
-0.024309536442160606,
0.02519349195063114,
0.029195... |
https://github.com/scikit-learn/scikit-learn/issues/31624 | [
"Needs Triage",
"Needs Investigation"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Jun 29, 2025) ⚠️
**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=77785&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jun 29, 2025)
- Test Collection Failure
... | 31,624 | [
-0.01378740556538105,
0.04444587603211403,
-0.015463483519852161,
-0.0350288562476635,
0.03904631733894348,
0.03026602603495121,
0.046764761209487915,
0.04283479228615761,
0.014877768233418465,
0.02315681241452694,
0.05165819451212883,
0.01305307261645794,
-0.006260935682803392,
0.06989088... |
https://github.com/scikit-learn/scikit-learn/issues/31621 | [
"New Feature",
"module:preprocessing",
"Needs Investigation"
] | ENH: Add MedianAbsoluteDeviationScaler (MADScaler) to sklearn.preprocessing
### Describe the workflow you want to enable
Today, if a user wants to centre features by the median and scale them by the median absolute deviation (MAD) they must hand-roll code like:
mad = 1.4826 * np.median(np.abs(X - np.median(X, axis=0)... | 31,621 | [
-0.04451115056872368,
0.007639244664460421,
0.006797549780458212,
-0.04170305281877518,
0.04843572899699211,
0.0011307968525215983,
0.026745468378067017,
-0.01126850489526987,
-0.04078568145632744,
-0.01062092650681734,
0.012504019774496555,
-0.010003536008298397,
-0.015553821809589863,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31621 | [
"New Feature",
"module:preprocessing",
"Needs Investigation"
] | ENH: Add MedianAbsoluteDeviationScaler (MADScaler) to sklearn.preprocessing
### Describe the workflow you want to enable
Today, if a user wants to centre features by the median and scale them by the median absolute deviation (MAD) they must hand-roll code like:
mad = 1.4826 * np.median(np.abs(X - np.median(X, axis=0)... | 31,621 | [
-0.04451115056872368,
0.007639244664460421,
0.006797549780458212,
-0.04170305281877518,
0.04843572899699211,
0.0011307968525215983,
0.026745468378067017,
-0.01126850489526987,
-0.04078568145632744,
-0.01062092650681734,
0.012504019774496555,
-0.010003536008298397,
-0.015553821809589863,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31621 | [
"New Feature",
"module:preprocessing",
"Needs Investigation"
] | ENH: Add MedianAbsoluteDeviationScaler (MADScaler) to sklearn.preprocessing
### Describe the workflow you want to enable
Today, if a user wants to centre features by the median and scale them by the median absolute deviation (MAD) they must hand-roll code like:
mad = 1.4826 * np.median(np.abs(X - np.median(X, axis=0)... | 31,621 | [
-0.04451115056872368,
0.007639244664460421,
0.006797549780458212,
-0.04170305281877518,
0.04843572899699211,
0.0011307968525215983,
0.026745468378067017,
-0.01126850489526987,
-0.04078568145632744,
-0.01062092650681734,
0.012504019774496555,
-0.010003536008298397,
-0.015553821809589863,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31621 | [
"New Feature",
"module:preprocessing",
"Needs Investigation"
] | ENH: Add MedianAbsoluteDeviationScaler (MADScaler) to sklearn.preprocessing
### Describe the workflow you want to enable
Today, if a user wants to centre features by the median and scale them by the median absolute deviation (MAD) they must hand-roll code like:
mad = 1.4826 * np.median(np.abs(X - np.median(X, axis=0)... | 31,621 | [
-0.04451115056872368,
0.007639244664460421,
0.006797549780458212,
-0.04170305281877518,
0.04843572899699211,
0.0011307968525215983,
0.026745468378067017,
-0.01126850489526987,
-0.04078568145632744,
-0.01062092650681734,
0.012504019774496555,
-0.010003536008298397,
-0.015553821809589863,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31621 | [
"New Feature",
"module:preprocessing",
"Needs Investigation"
] | ENH: Add MedianAbsoluteDeviationScaler (MADScaler) to sklearn.preprocessing
### Describe the workflow you want to enable
Today, if a user wants to centre features by the median and scale them by the median absolute deviation (MAD) they must hand-roll code like:
mad = 1.4826 * np.median(np.abs(X - np.median(X, axis=0)... | 31,621 | [
-0.04451115056872368,
0.007639244664460421,
0.006797549780458212,
-0.04170305281877518,
0.04843572899699211,
0.0011307968525215983,
0.026745468378067017,
-0.01126850489526987,
-0.04078568145632744,
-0.01062092650681734,
0.012504019774496555,
-0.010003536008298397,
-0.015553821809589863,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/31608 | [
"New Feature",
"Needs Triage"
] | (Perhaps) safer version of halving search
### Describe the workflow you want to enable
I find the current experimental implementation of HalvingGridSearchCV problematic. At the first rounds it tends to select candidates with hyperparameters adapted to small sample sizes that are bad in hindsight, when it's too late. ... | 31,608 | [
-0.04421605169773102,
0.02531423047184944,
0.012593678198754787,
-0.015426608733832836,
0.0030288882553577423,
-0.0726059228181839,
-0.020536381751298904,
0.056273944675922394,
0.01161208562552929,
-0.021953072398900986,
0.030568262562155724,
0.03840247169137001,
-0.04822923615574837,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/31601 | [
"API"
] | Implement row-wise prediction skipping
### Describe the workflow you want to enable
In lines like:
```python
model.predict_proba(df)
```
I know that certain rows do not need the probability to be predicted. So I would need to:
- Filter the dataframe
- Store the indexes at which I do not want evaluation
- Evaluate ... | 31,601 | [
0.00016896369925234467,
0.11910063028335571,
-0.0021804303396493196,
-0.025196125730872154,
-0.011930407956242561,
0.018764477223157883,
0.05962786823511124,
0.008717169053852558,
0.03036710061132908,
-0.011406180448830128,
0.0495741069316864,
-0.04528447240591049,
-0.005831853952258825,
0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31599 | [
"Bug",
"module:metrics",
"Needs Investigation"
] | `_MultimetricScorer` deals with `_accept_sample_weights` inconsistently
### Describe the bug
When one of the scorers in `_MultimetricScorer` is not a `Scorer` object, it is handled incorrectly.
See line [here](https://github.com/scikit-learn/scikit-learn/blob/0fc081a4e131b08cb6d22f77f250733f265097b4/sklearn/metrics/... | 31,599 | [
0.006141185760498047,
0.031151046976447105,
0.04978737235069275,
-0.023335972800850868,
0.038031380623579025,
-0.031516317278146744,
0.05153223127126694,
0.03388809412717819,
0.011416669003665447,
0.018442345783114433,
0.014880981296300888,
0.055421359837055206,
0.0016237746458500624,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/31595 | [
"Documentation"
] | Attribute docstring does not show properly when there is a property with the same name
### Describe the issue linked to the documentation
When a @property is documented by a docstring and when the corresponding fitted attribute with the same name is also documented in the docstring of the class, the documentation onl... | 31,595 | [
0.02804061956703663,
0.015565838664770126,
-0.022119438275694847,
0.028701260685920715,
0.050729043781757355,
0.005379975773394108,
0.03383813425898552,
0.04595360532402992,
-0.07157313078641891,
0.00928486231714487,
0.016821572557091713,
0.014637348242104053,
0.027307352051138878,
-0.0450... |
https://github.com/scikit-learn/scikit-learn/issues/31595 | [
"Documentation"
] | Attribute docstring does not show properly when there is a property with the same name
### Describe the issue linked to the documentation
When a @property is documented by a docstring and when the corresponding fitted attribute with the same name is also documented in the docstring of the class, the documentation onl... | 31,595 | [
0.02804061956703663,
0.015565838664770126,
-0.022119438275694847,
0.028701260685920715,
0.050729043781757355,
0.005379975773394108,
0.03383813425898552,
0.04595360532402992,
-0.07157313078641891,
0.00928486231714487,
0.016821572557091713,
0.014637348242104053,
0.027307352051138878,
-0.0450... |
https://github.com/scikit-learn/scikit-learn/issues/31595 | [
"Documentation"
] | Attribute docstring does not show properly when there is a property with the same name
### Describe the issue linked to the documentation
When a @property is documented by a docstring and when the corresponding fitted attribute with the same name is also documented in the docstring of the class, the documentation onl... | 31,595 | [
0.02804061956703663,
0.015565838664770126,
-0.022119438275694847,
0.028701260685920715,
0.050729043781757355,
0.005379975773394108,
0.03383813425898552,
0.04595360532402992,
-0.07157313078641891,
0.00928486231714487,
0.016821572557091713,
0.014637348242104053,
0.027307352051138878,
-0.0450... |
https://github.com/scikit-learn/scikit-learn/issues/31595 | [
"Documentation"
] | Attribute docstring does not show properly when there is a property with the same name
### Describe the issue linked to the documentation
When a @property is documented by a docstring and when the corresponding fitted attribute with the same name is also documented in the docstring of the class, the documentation onl... | 31,595 | [
0.02804061956703663,
0.015565838664770126,
-0.022119438275694847,
0.028701260685920715,
0.050729043781757355,
0.005379975773394108,
0.03383813425898552,
0.04595360532402992,
-0.07157313078641891,
0.00928486231714487,
0.016821572557091713,
0.014637348242104053,
0.027307352051138878,
-0.0450... |
https://github.com/scikit-learn/scikit-learn/issues/31595 | [
"Documentation"
] | Attribute docstring does not show properly when there is a property with the same name
### Describe the issue linked to the documentation
When a @property is documented by a docstring and when the corresponding fitted attribute with the same name is also documented in the docstring of the class, the documentation onl... | 31,595 | [
0.02804061956703663,
0.015565838664770126,
-0.022119438275694847,
0.028701260685920715,
0.050729043781757355,
0.005379975773394108,
0.03383813425898552,
0.04595360532402992,
-0.07157313078641891,
0.00928486231714487,
0.016821572557091713,
0.014637348242104053,
0.027307352051138878,
-0.0450... |
https://github.com/scikit-learn/scikit-learn/issues/31593 | [
"Documentation"
] | scikit-learn API reference on the website not rendering LaTeX correctly
### Describe the bug
On the API reference on the web, formulas are shown as:
`a * ||w||_1 + 0.5 * b * ||w||_2^2`
Instead of
<img width="232" alt="Image" src="https://github.com/user-attachments/assets/8f45c9d9-3ff9-48ae-b904-d6d1286f9f89" />... | 31,593 | [
-0.0026813989970833063,
0.03912598267197609,
-0.017526770010590553,
0.010852573439478874,
0.018575716763734818,
0.005821176338940859,
0.006751841865479946,
0.05672046169638634,
0.0094689866527915,
-0.05968022719025612,
0.027265433222055435,
0.04611537232995033,
0.01556240115314722,
0.06188... |
https://github.com/scikit-learn/scikit-learn/issues/31593 | [
"Documentation"
] | scikit-learn API reference on the website not rendering LaTeX correctly
### Describe the bug
On the API reference on the web, formulas are shown as:
`a * ||w||_1 + 0.5 * b * ||w||_2^2`
Instead of
<img width="232" alt="Image" src="https://github.com/user-attachments/assets/8f45c9d9-3ff9-48ae-b904-d6d1286f9f89" />... | 31,593 | [
0.007901631295681,
0.03475319966673851,
-0.019839894026517868,
0.022144662216305733,
0.03473272547125816,
0.0032097671646624804,
0.005602989345788956,
0.05528668314218521,
0.007471973542124033,
-0.05685616657137871,
0.030230240896344185,
0.04926728829741478,
0.0245134886354208,
0.058536969... |
https://github.com/scikit-learn/scikit-learn/issues/31593 | [
"Documentation"
] | scikit-learn API reference on the website not rendering LaTeX correctly
### Describe the bug
On the API reference on the web, formulas are shown as:
`a * ||w||_1 + 0.5 * b * ||w||_2^2`
Instead of
<img width="232" alt="Image" src="https://github.com/user-attachments/assets/8f45c9d9-3ff9-48ae-b904-d6d1286f9f89" />... | 31,593 | [
-0.008033471181988716,
0.022267663851380348,
-0.02886177785694599,
0.03483530133962631,
0.027993924915790558,
0.0048616798594594,
0.016011694446206093,
0.052737656980752945,
0.0125508401542902,
-0.047079525887966156,
0.02496771700680256,
0.04891398176550865,
0.033330388367176056,
0.0737583... |
https://github.com/scikit-learn/scikit-learn/issues/31593 | [
"Documentation"
] | scikit-learn API reference on the website not rendering LaTeX correctly
### Describe the bug
On the API reference on the web, formulas are shown as:
`a * ||w||_1 + 0.5 * b * ||w||_2^2`
Instead of
<img width="232" alt="Image" src="https://github.com/user-attachments/assets/8f45c9d9-3ff9-48ae-b904-d6d1286f9f89" />... | 31,593 | [
-0.00681544141843915,
0.036778584122657776,
-0.03007565625011921,
0.027386069297790527,
0.03084729053080082,
0.007369848433881998,
0.013281336985528469,
0.05956606939435005,
0.01175299659371376,
-0.05383876711130142,
0.028206348419189453,
0.0517253503203392,
0.04094568267464638,
0.06716146... |
https://github.com/scikit-learn/scikit-learn/issues/31593 | [
"Documentation"
] | scikit-learn API reference on the website not rendering LaTeX correctly
### Describe the bug
On the API reference on the web, formulas are shown as:
`a * ||w||_1 + 0.5 * b * ||w||_2^2`
Instead of
<img width="232" alt="Image" src="https://github.com/user-attachments/assets/8f45c9d9-3ff9-48ae-b904-d6d1286f9f89" />... | 31,593 | [
0.0012666009133681655,
0.036598123610019684,
-0.02603667601943016,
0.0290621779859066,
0.026052577421069145,
0.008354200050234795,
0.01756897382438183,
0.05755230039358139,
0.014853101223707199,
-0.05448742210865021,
0.02836112305521965,
0.04803340882062912,
0.029640555381774902,
0.0703418... |
https://github.com/scikit-learn/scikit-learn/issues/31592 | [
"Bug",
"Needs Triage"
] | Compilation "neighbors/_kd_tree.pyx" crashes on ARM
### Describe the bug
Hi. I rebuilt scikit-learn from source, but the compiler crashed.
### Steps/Code to Reproduce
```shell
$ cat /etc/debian_version
12.11
```
```shell
$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
NAME="Debian GNU/Linux"
V... | 31,592 | [
0.05310021713376045,
-0.02808648906648159,
-0.026933230459690094,
-0.015127232298254967,
0.054863858968019485,
0.017393287271261215,
-0.020388921722769737,
0.038744326680898666,
0.003657787572592497,
-0.02909071370959282,
-0.005195689387619495,
0.12297763675451279,
0.001380576635710895,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/31592 | [
"Bug",
"Needs Triage"
] | Compilation "neighbors/_kd_tree.pyx" crashes on ARM
### Describe the bug
Hi. I rebuilt scikit-learn from source, but the compiler crashed.
### Steps/Code to Reproduce
```shell
$ cat /etc/debian_version
12.11
```
```shell
$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
NAME="Debian GNU/Linux"
V... | 31,592 | [
0.05310021713376045,
-0.02808648906648159,
-0.026933230459690094,
-0.015127232298254967,
0.054863858968019485,
0.017393287271261215,
-0.020388921722769737,
0.038744326680898666,
0.003657787572592497,
-0.02909071370959282,
-0.005195689387619495,
0.12297763675451279,
0.001380576635710895,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/31592 | [
"Bug",
"Needs Triage"
] | Compilation "neighbors/_kd_tree.pyx" crashes on ARM
### Describe the bug
Hi. I rebuilt scikit-learn from source, but the compiler crashed.
### Steps/Code to Reproduce
```shell
$ cat /etc/debian_version
12.11
```
```shell
$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
NAME="Debian GNU/Linux"
V... | 31,592 | [
0.05310021713376045,
-0.02808648906648159,
-0.026933230459690094,
-0.015127232298254967,
0.054863858968019485,
0.017393287271261215,
-0.020388921722769737,
0.038744326680898666,
0.003657787572592497,
-0.02909071370959282,
-0.005195689387619495,
0.12297763675451279,
0.001380576635710895,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/31592 | [
"Bug",
"Needs Triage"
] | Compilation "neighbors/_kd_tree.pyx" crashes on ARM
### Describe the bug
Hi. I rebuilt scikit-learn from source, but the compiler crashed.
### Steps/Code to Reproduce
```shell
$ cat /etc/debian_version
12.11
```
```shell
$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
NAME="Debian GNU/Linux"
V... | 31,592 | [
0.05310021713376045,
-0.02808648906648159,
-0.026933230459690094,
-0.015127232298254967,
0.054863858968019485,
0.017393287271261215,
-0.020388921722769737,
0.038744326680898666,
0.003657787572592497,
-0.02909071370959282,
-0.005195689387619495,
0.12297763675451279,
0.001380576635710895,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/31592 | [
"Bug",
"Needs Triage"
] | Compilation "neighbors/_kd_tree.pyx" crashes on ARM
### Describe the bug
Hi. I rebuilt scikit-learn from source, but the compiler crashed.
### Steps/Code to Reproduce
```shell
$ cat /etc/debian_version
12.11
```
```shell
$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
NAME="Debian GNU/Linux"
V... | 31,592 | [
0.05310021713376045,
-0.02808648906648159,
-0.026933230459690094,
-0.015127232298254967,
0.054863858968019485,
0.017393287271261215,
-0.020388921722769737,
0.038744326680898666,
0.003657787572592497,
-0.02909071370959282,
-0.005195689387619495,
0.12297763675451279,
0.001380576635710895,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/31587 | [
"Bug",
"Needs Triage"
] | Can't create exe-file with this module
### Describe the bug
```py
from sklearn.neighbors import NearestNeighbors
--hidden-import=sklearn.neighbors
File "C:\Python\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py", line 2537, in _scan_bytecode
for inst in util.iterate_instructions(module_code_object)... | 31,587 | [
0.02112177200615406,
-0.012007000856101513,
-0.021651482209563255,
-0.022502535954117775,
0.06595254689455032,
0.0386924110352993,
0.07397060096263885,
0.03368597477674484,
0.0911014974117279,
-0.04209604486823082,
-0.039378292858600616,
0.09138522297143936,
-0.018492503091692924,
0.001670... |
https://github.com/scikit-learn/scikit-learn/issues/31583 | [
"Bug"
] | Unjustified "number of unique classes > 50%" warning in CalibratedClassifierCV
### Describe the bug
While using CalibratedClassifierCV with a multiclass dataset, I noticed that the following warning is raised, even though the number of classes is much smaller than the number of samples:
```
UserWarning: The number o... | 31,583 | [
0.002117415424436331,
-0.02885575406253338,
0.03276629373431206,
0.04491111636161804,
0.11002332717180252,
-0.012997007928788662,
0.01367744617164135,
0.03651619330048561,
-0.01383672934025526,
0.010639338754117489,
0.014241819269955158,
0.0032177583780139685,
0.005061951465904713,
-0.0354... |
https://github.com/scikit-learn/scikit-learn/issues/31571 | [
"Documentation",
"Needs Triage"
] | Several Doc improvement for whats_new
### Describe the issue linked to the documentation
I found some bugs or unclear areas that need further improvement in several versions of whats_new documentation.
### [v1.5.0](https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.5.rst#version-150)
- "Depreca... | 31,571 | [
0.0412907712161541,
0.00010794012632686645,
0.011470829136669636,
-0.008054647594690323,
0.03504068776965141,
-0.017060503363609314,
0.036655668169260025,
0.06145334988832474,
-0.020496737211942673,
-0.025630980730056763,
0.01050342246890068,
0.07517055422067642,
0.0556541383266449,
-0.027... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.