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/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30286 | [
"Bug",
"Needs Triage"
] | Cython error while installing development version on MacOS M2 chip
### Describe the bug
Hello - While working on #16236 , I am getting a Cython error .
I pulled the latest version of Scikit Learn from the main branch . I am following the instructions here to install the development version of Scikit learn ... | 30,286 | [
0.005261719226837158,
-0.007454973645508289,
-0.04846322536468506,
-0.0491238497197628,
0.03389010205864906,
0.03902728110551834,
0.012088457122445107,
0.01057502068579197,
0.012381969951093197,
-0.034480977803468704,
0.013580036349594593,
0.06771764904260635,
-0.020751776173710823,
0.0269... |
https://github.com/scikit-learn/scikit-learn/issues/30285 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Nov 16, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/11866940607)** (Nov 16, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/11875699003) on Nov 17... | 30,285 | [
-0.03513961285352707,
0.046335991472005844,
-0.017417479306459427,
-0.011094928719103336,
0.009977098554372787,
0.009713268838822842,
0.01213837880641222,
0.04195898026227951,
-0.04873908311128616,
0.0369010865688324,
0.08725318312644958,
0.02588556334376335,
-0.01651662401854992,
0.079720... |
https://github.com/scikit-learn/scikit-learn/issues/30284 | [
"Build / CI"
] | Create a process for releasing a wheel for a new Python version with a previous sklearn version on CI
For version 1.5.2, the wheels were not updated from the CI, but from an API key. Moving forward, I think we should update our CI to allow us to push specific python versions. I propose this process:
1. **Prerequisi... | 30,284 | [
0.010129385627806187,
0.050412315875291824,
-0.02610420621931553,
-0.04433669522404671,
-0.00607478991150856,
0.00020123719878029078,
0.030745983123779297,
0.0035628711339086294,
-0.043866757303476334,
-0.010576996020972729,
0.06740488111972809,
0.09158824384212494,
-0.04410455748438835,
0... |
https://github.com/scikit-learn/scikit-learn/issues/30284 | [
"Build / CI"
] | Create a process for releasing a wheel for a new Python version with a previous sklearn version on CI
For version 1.5.2, the wheels were not updated from the CI, but from an API key. Moving forward, I think we should update our CI to allow us to push specific python versions. I propose this process:
1. **Prerequisi... | 30,284 | [
0.0019380415324121714,
0.04149474576115608,
-0.028072699904441833,
-0.0413939543068409,
-0.0025814599357545376,
-0.002967262640595436,
0.03588603809475899,
0.004718775395303965,
-0.04070783033967018,
-0.005680140107870102,
0.06893722712993622,
0.08510316163301468,
-0.039854735136032104,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30283 | [
"Documentation"
] | Crying emoticon in "Choosing the right estimator" does not work for most audiences
### Describe the issue linked to the documentation
Contrast https://github.com/scikit-learn/scikit-learn/blob/main/doc/images/ml_map.svg which uses a crying emoticon with previous versions where it said "Not Working" and were easier to... | 30,283 | [
0.04170253500342369,
0.03820273280143738,
-0.022411616519093513,
0.015583692118525505,
0.00803836714476347,
0.026529259979724884,
0.028009513393044472,
-0.0032616155222058296,
0.019368810579180717,
-0.009927892126142979,
0.034429747611284256,
0.05342954397201538,
-0.007666176650673151,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30281 | [
"Bug"
] | scipy.optimize._optimize.BracketError in some cases of power transformer
### Describe the bug
Similar to #27499, in very few cases the power transformation fails.
Edit: Actually, it starts with a `RuntimeWarning: overflow encountered in power` because at this point the lambda is 292.8… And thus the out becomes `... | 30,281 | [
0.009126677177846432,
-0.02938651107251644,
0.0259258970618248,
0.016186879947781563,
0.10590638220310211,
-0.012065403163433075,
0.0005241113249212503,
0.030953334644436836,
-0.02834443934261799,
0.00404878007248044,
0.044370636343955994,
0.024355651810765266,
0.04298371076583862,
-0.0188... |
https://github.com/scikit-learn/scikit-learn/issues/30281 | [
"Bug"
] | scipy.optimize._optimize.BracketError in some cases of power transformer
### Describe the bug
Similar to #27499, in very few cases the power transformation fails.
Edit: Actually, it starts with a `RuntimeWarning: overflow encountered in power` because at this point the lambda is 292.8… And thus the out becomes `... | 30,281 | [
0.009126677177846432,
-0.02938651107251644,
0.0259258970618248,
0.016186879947781563,
0.10590638220310211,
-0.012065403163433075,
0.0005241113249212503,
0.030953334644436836,
-0.02834443934261799,
0.00404878007248044,
0.044370636343955994,
0.024355651810765266,
0.04298371076583862,
-0.0188... |
https://github.com/scikit-learn/scikit-learn/issues/30279 | [
"Documentation"
] | Bad plotly figures rendering in the examples gallery
### Describe the issue linked to the documentation
Currently, I found 2 examples in the examples gallery of the scikit-learn documentation that use plotly instead of matplotlib for plots, for interactivity purposes:
- https://scikit-learn.org/1.5/auto_examples/e... | 30,279 | [
0.0207320898771286,
0.022683098912239075,
-0.00018341882969252765,
0.04650139436125755,
0.020754393190145493,
0.02217588759958744,
0.010237825103104115,
0.068560890853405,
-0.03839836269617081,
0.0160698089748621,
0.0061885216273367405,
0.01160397008061409,
0.00031061816844157875,
0.042003... |
https://github.com/scikit-learn/scikit-learn/issues/30279 | [
"Documentation"
] | Bad plotly figures rendering in the examples gallery
### Describe the issue linked to the documentation
Currently, I found 2 examples in the examples gallery of the scikit-learn documentation that use plotly instead of matplotlib for plots, for interactivity purposes:
- https://scikit-learn.org/1.5/auto_examples/e... | 30,279 | [
0.02031451277434826,
0.02271186374127865,
0.0008967238245531917,
0.049061983823776245,
0.02089644968509674,
0.022844690829515457,
0.006678381469100714,
0.06825161725282669,
-0.03884744644165039,
0.01738748885691166,
0.004404150415211916,
0.012690991163253784,
-0.0011534789809957147,
0.0416... |
https://github.com/scikit-learn/scikit-learn/issues/30279 | [
"Documentation"
] | Bad plotly figures rendering in the examples gallery
### Describe the issue linked to the documentation
Currently, I found 2 examples in the examples gallery of the scikit-learn documentation that use plotly instead of matplotlib for plots, for interactivity purposes:
- https://scikit-learn.org/1.5/auto_examples/e... | 30,279 | [
0.02065894566476345,
0.018344370648264885,
0.003616159548982978,
0.04282338544726372,
0.019478870555758476,
0.019064245745539665,
0.012705689296126366,
0.06925386935472488,
-0.03385346010327339,
0.013477111235260963,
0.002069115173071623,
0.017267193645238876,
-0.00009938215953297913,
0.04... |
https://github.com/scikit-learn/scikit-learn/issues/30278 | [
"Documentation"
] | Unifying references style in docstrings in _pca.py
### Describe the issue linked to the documentation
A very minor suggested change to write references section of function docstrings in identical style in [_pca.py](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/decomposition/_pca.py) code file.
#... | 30,278 | [
0.05801522359251976,
0.01211928017437458,
0.00031082649365998805,
-0.02527088299393654,
0.034625496715307236,
0.0280916728079319,
0.05069872736930847,
-0.009688823483884335,
-0.06794170290231705,
-0.04086273908615112,
0.008404161781072617,
0.03461918979883194,
0.06181839108467102,
-0.01241... |
https://github.com/scikit-learn/scikit-learn/issues/30278 | [
"Documentation"
] | Unifying references style in docstrings in _pca.py
### Describe the issue linked to the documentation
A very minor suggested change to write references section of function docstrings in identical style in [_pca.py](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/decomposition/_pca.py) code file.
#... | 30,278 | [
0.05801522359251976,
0.01211928017437458,
0.00031082649365998805,
-0.02527088299393654,
0.034625496715307236,
0.0280916728079319,
0.05069872736930847,
-0.009688823483884335,
-0.06794170290231705,
-0.04086273908615112,
0.008404161781072617,
0.03461918979883194,
0.06181839108467102,
-0.01241... |
https://github.com/scikit-learn/scikit-learn/issues/30278 | [
"Documentation"
] | Unifying references style in docstrings in _pca.py
### Describe the issue linked to the documentation
A very minor suggested change to write references section of function docstrings in identical style in [_pca.py](https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/decomposition/_pca.py) code file.
#... | 30,278 | [
0.05801522359251976,
0.01211928017437458,
0.00031082649365998805,
-0.02527088299393654,
0.034625496715307236,
0.0280916728079319,
0.05069872736930847,
-0.009688823483884335,
-0.06794170290231705,
-0.04086273908615112,
0.008404161781072617,
0.03461918979883194,
0.06181839108467102,
-0.01241... |
https://github.com/scikit-learn/scikit-learn/issues/30275 | [
"Bug"
] | ColumnTransformer does not validate sparse formats for X
### Describe the bug
If the underlying transformers all accept sparse input data, `ColumnTransformer` should also be able to accept sparse input data. That's indeed the case for the `csr`, `csc`, `lil` and `dok` formats but it raises errors for the `bsr`, `coo`... | 30,275 | [
-0.0008839311194606125,
0.0088995061814785,
0.06021957844495773,
-0.014165022410452366,
0.07585635036230087,
0.010281669907271862,
0.05894593149423599,
0.0886714830994606,
-0.030700478702783585,
-0.021998193114995956,
-0.002307344926521182,
-0.041173871606588364,
0.01098127756267786,
0.028... |
https://github.com/scikit-learn/scikit-learn/issues/30275 | [
"Bug"
] | ColumnTransformer does not validate sparse formats for X
### Describe the bug
If the underlying transformers all accept sparse input data, `ColumnTransformer` should also be able to accept sparse input data. That's indeed the case for the `csr`, `csc`, `lil` and `dok` formats but it raises errors for the `bsr`, `coo`... | 30,275 | [
-0.0008839311194606125,
0.0088995061814785,
0.06021957844495773,
-0.014165022410452366,
0.07585635036230087,
0.010281669907271862,
0.05894593149423599,
0.0886714830994606,
-0.030700478702783585,
-0.021998193114995956,
-0.002307344926521182,
-0.041173871606588364,
0.01098127756267786,
0.028... |
https://github.com/scikit-learn/scikit-learn/issues/30275 | [
"Bug"
] | ColumnTransformer does not validate sparse formats for X
### Describe the bug
If the underlying transformers all accept sparse input data, `ColumnTransformer` should also be able to accept sparse input data. That's indeed the case for the `csr`, `csc`, `lil` and `dok` formats but it raises errors for the `bsr`, `coo`... | 30,275 | [
-0.0008839311194606125,
0.0088995061814785,
0.06021957844495773,
-0.014165022410452366,
0.07585635036230087,
0.010281669907271862,
0.05894593149423599,
0.0886714830994606,
-0.030700478702783585,
-0.021998193114995956,
-0.002307344926521182,
-0.041173871606588364,
0.01098127756267786,
0.028... |
https://github.com/scikit-learn/scikit-learn/issues/30275 | [
"Bug"
] | ColumnTransformer does not validate sparse formats for X
### Describe the bug
If the underlying transformers all accept sparse input data, `ColumnTransformer` should also be able to accept sparse input data. That's indeed the case for the `csr`, `csc`, `lil` and `dok` formats but it raises errors for the `bsr`, `coo`... | 30,275 | [
-0.0008839311194606125,
0.0088995061814785,
0.06021957844495773,
-0.014165022410452366,
0.07585635036230087,
0.010281669907271862,
0.05894593149423599,
0.0886714830994606,
-0.030700478702783585,
-0.021998193114995956,
-0.002307344926521182,
-0.041173871606588364,
0.01098127756267786,
0.028... |
https://github.com/scikit-learn/scikit-learn/issues/30275 | [
"Bug"
] | ColumnTransformer does not validate sparse formats for X
### Describe the bug
If the underlying transformers all accept sparse input data, `ColumnTransformer` should also be able to accept sparse input data. That's indeed the case for the `csr`, `csc`, `lil` and `dok` formats but it raises errors for the `bsr`, `coo`... | 30,275 | [
-0.0008839311194606125,
0.0088995061814785,
0.06021957844495773,
-0.014165022410452366,
0.07585635036230087,
0.010281669907271862,
0.05894593149423599,
0.0886714830994606,
-0.030700478702783585,
-0.021998193114995956,
-0.002307344926521182,
-0.041173871606588364,
0.01098127756267786,
0.028... |
https://github.com/scikit-learn/scikit-learn/issues/30271 | [
"Bug"
] | partial_dependence errors when given only two grid points
### Describe the bug
In the nightly build, when given only two grid points, the partial dependence function incorrectly thinks it is dealing with a binary output and tries to drop one of them in an attempt to fetch only the positive class. The offending line... | 30,271 | [
0.0170255396515131,
0.0754435658454895,
0.021140478551387787,
0.0278212521225214,
0.08226000517606735,
-0.0016936564352363348,
0.03719388321042061,
0.030717359855771065,
0.04601138457655907,
-0.035320501774549484,
0.038223713636398315,
0.013538327068090439,
0.012956148013472557,
-0.0001919... |
https://github.com/scikit-learn/scikit-learn/issues/30271 | [
"Bug"
] | partial_dependence errors when given only two grid points
### Describe the bug
In the nightly build, when given only two grid points, the partial dependence function incorrectly thinks it is dealing with a binary output and tries to drop one of them in an attempt to fetch only the positive class. The offending line... | 30,271 | [
0.0170255396515131,
0.0754435658454895,
0.021140478551387787,
0.0278212521225214,
0.08226000517606735,
-0.0016936564352363348,
0.03719388321042061,
0.030717359855771065,
0.04601138457655907,
-0.035320501774549484,
0.038223713636398315,
0.013538327068090439,
0.012956148013472557,
-0.0001919... |
https://github.com/scikit-learn/scikit-learn/issues/30271 | [
"Bug"
] | partial_dependence errors when given only two grid points
### Describe the bug
In the nightly build, when given only two grid points, the partial dependence function incorrectly thinks it is dealing with a binary output and tries to drop one of them in an attempt to fetch only the positive class. The offending line... | 30,271 | [
0.0170255396515131,
0.0754435658454895,
0.021140478551387787,
0.0278212521225214,
0.08226000517606735,
-0.0016936564352363348,
0.03719388321042061,
0.030717359855771065,
0.04601138457655907,
-0.035320501774549484,
0.038223713636398315,
0.013538327068090439,
0.012956148013472557,
-0.0001919... |
https://github.com/scikit-learn/scikit-learn/issues/30271 | [
"Bug"
] | partial_dependence errors when given only two grid points
### Describe the bug
In the nightly build, when given only two grid points, the partial dependence function incorrectly thinks it is dealing with a binary output and tries to drop one of them in an attempt to fetch only the positive class. The offending line... | 30,271 | [
0.0170255396515131,
0.0754435658454895,
0.021140478551387787,
0.0278212521225214,
0.08226000517606735,
-0.0016936564352363348,
0.03719388321042061,
0.030717359855771065,
0.04601138457655907,
-0.035320501774549484,
0.038223713636398315,
0.013538327068090439,
0.012956148013472557,
-0.0001919... |
https://github.com/scikit-learn/scikit-learn/issues/30271 | [
"Bug"
] | partial_dependence errors when given only two grid points
### Describe the bug
In the nightly build, when given only two grid points, the partial dependence function incorrectly thinks it is dealing with a binary output and tries to drop one of them in an attempt to fetch only the positive class. The offending line... | 30,271 | [
0.0170255396515131,
0.0754435658454895,
0.021140478551387787,
0.0278212521225214,
0.08226000517606735,
-0.0016936564352363348,
0.03719388321042061,
0.030717359855771065,
0.04601138457655907,
-0.035320501774549484,
0.038223713636398315,
0.013538327068090439,
0.012956148013472557,
-0.0001919... |
https://github.com/scikit-learn/scikit-learn/issues/30257 | [
"Blocker"
] | Estimator creating `_more_tags` and inheriting from `BaseEstimator` will not warn about old tag infrastructure
While making the code of `skrub` compatible with scikit-learn 1.6, I found that the following is really surprising:
```python
# %%
import numpy as np
from sklearn.base import BaseEstimator, RegressorMix... | 30,257 | [
0.026459449902176857,
0.027631087228655815,
0.024816814810037613,
-0.017707673832774162,
0.04652092233300209,
0.006104314234107733,
0.04923646152019501,
0.017426898702979088,
0.047577276825904846,
0.018726879730820656,
0.029903952032327652,
0.07523734867572784,
-0.020086150616407394,
0.021... |
https://github.com/scikit-learn/scikit-learn/issues/30257 | [
"Blocker"
] | Estimator creating `_more_tags` and inheriting from `BaseEstimator` will not warn about old tag infrastructure
While making the code of `skrub` compatible with scikit-learn 1.6, I found that the following is really surprising:
```python
# %%
import numpy as np
from sklearn.base import BaseEstimator, RegressorMix... | 30,257 | [
0.026459449902176857,
0.027631087228655815,
0.024816814810037613,
-0.017707673832774162,
0.04652092233300209,
0.006104314234107733,
0.04923646152019501,
0.017426898702979088,
0.047577276825904846,
0.018726879730820656,
0.029903952032327652,
0.07523734867572784,
-0.020086150616407394,
0.021... |
https://github.com/scikit-learn/scikit-learn/issues/30257 | [
"Blocker"
] | Estimator creating `_more_tags` and inheriting from `BaseEstimator` will not warn about old tag infrastructure
While making the code of `skrub` compatible with scikit-learn 1.6, I found that the following is really surprising:
```python
# %%
import numpy as np
from sklearn.base import BaseEstimator, RegressorMix... | 30,257 | [
0.026459449902176857,
0.027631087228655815,
0.024816814810037613,
-0.017707673832774162,
0.04652092233300209,
0.006104314234107733,
0.04923646152019501,
0.017426898702979088,
0.047577276825904846,
0.018726879730820656,
0.029903952032327652,
0.07523734867572784,
-0.020086150616407394,
0.021... |
https://github.com/scikit-learn/scikit-learn/issues/30257 | [
"Blocker"
] | Estimator creating `_more_tags` and inheriting from `BaseEstimator` will not warn about old tag infrastructure
While making the code of `skrub` compatible with scikit-learn 1.6, I found that the following is really surprising:
```python
# %%
import numpy as np
from sklearn.base import BaseEstimator, RegressorMix... | 30,257 | [
0.026459449902176857,
0.027631087228655815,
0.024816814810037613,
-0.017707673832774162,
0.04652092233300209,
0.006104314234107733,
0.04923646152019501,
0.017426898702979088,
0.047577276825904846,
0.018726879730820656,
0.029903952032327652,
0.07523734867572784,
-0.020086150616407394,
0.021... |
https://github.com/scikit-learn/scikit-learn/issues/30249 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder not transforming nans as expected.
### Describe the bug
When fitting an OrdinalEncoder with a pandas Series that contains a nan, transforming an array containing only nans fails, even though nan is one of the OrdinalEncoder classes.
This seems similar to this issue https://github.com/scikit-learn/sc... | 30,249 | [
0.027841731905937195,
0.06282661855220795,
0.024555429816246033,
-0.020726794376969337,
0.10950133204460144,
0.015917891636490822,
0.06274407356977463,
0.03114895336329937,
-0.05821758508682251,
-0.022292636334896088,
0.032666631042957306,
0.06371865421533585,
0.040313731878995895,
0.03477... |
https://github.com/scikit-learn/scikit-learn/issues/30249 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder not transforming nans as expected.
### Describe the bug
When fitting an OrdinalEncoder with a pandas Series that contains a nan, transforming an array containing only nans fails, even though nan is one of the OrdinalEncoder classes.
This seems similar to this issue https://github.com/scikit-learn/sc... | 30,249 | [
0.027841731905937195,
0.06282661855220795,
0.024555429816246033,
-0.020726794376969337,
0.10950133204460144,
0.015917891636490822,
0.06274407356977463,
0.03114895336329937,
-0.05821758508682251,
-0.022292636334896088,
0.032666631042957306,
0.06371865421533585,
0.040313731878995895,
0.03477... |
https://github.com/scikit-learn/scikit-learn/issues/30249 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder not transforming nans as expected.
### Describe the bug
When fitting an OrdinalEncoder with a pandas Series that contains a nan, transforming an array containing only nans fails, even though nan is one of the OrdinalEncoder classes.
This seems similar to this issue https://github.com/scikit-learn/sc... | 30,249 | [
0.027841731905937195,
0.06282661855220795,
0.024555429816246033,
-0.020726794376969337,
0.10950133204460144,
0.015917891636490822,
0.06274407356977463,
0.03114895336329937,
-0.05821758508682251,
-0.022292636334896088,
0.032666631042957306,
0.06371865421533585,
0.040313731878995895,
0.03477... |
https://github.com/scikit-learn/scikit-learn/issues/30249 | [
"Bug",
"Needs Triage"
] | OrdinalEncoder not transforming nans as expected.
### Describe the bug
When fitting an OrdinalEncoder with a pandas Series that contains a nan, transforming an array containing only nans fails, even though nan is one of the OrdinalEncoder classes.
This seems similar to this issue https://github.com/scikit-learn/sc... | 30,249 | [
0.027841731905937195,
0.06282661855220795,
0.024555429816246033,
-0.020726794376969337,
0.10950133204460144,
0.015917891636490822,
0.06274407356977463,
0.03114895336329937,
-0.05821758508682251,
-0.022292636334896088,
0.032666631042957306,
0.06371865421533585,
0.040313731878995895,
0.03477... |
https://github.com/scikit-learn/scikit-learn/issues/30247 | [
"Documentation"
] | Notes to update the release process
This issue is used to consolidate the point that needs to be updated in the release process, notably due to the adoption of towncrier.
### RC release process:
- when requesting to bump the version number of `dev0` in `main`, we need to request changing the root RST file target... | 30,247 | [
0.001468010595999658,
0.06723810732364655,
0.007440499495714903,
-0.034346383064985275,
-0.026905780658125877,
-0.037332240492105484,
0.016884878277778625,
-0.009353741072118282,
-0.06042308360338211,
-0.004026920069009066,
0.05758420005440712,
0.09119392186403275,
-0.0037192266900092363,
... |
https://github.com/scikit-learn/scikit-learn/issues/30247 | [
"Documentation"
] | Notes to update the release process
This issue is used to consolidate the point that needs to be updated in the release process, notably due to the adoption of towncrier.
### RC release process:
- when requesting to bump the version number of `dev0` in `main`, we need to request changing the root RST file target... | 30,247 | [
0.00897185131907463,
0.06552378088235855,
0.0029432165902107954,
-0.0225287526845932,
-0.032826978713274,
-0.030085096135735512,
0.022017953917384148,
-0.02153410017490387,
-0.07329080998897552,
0.007817559875547886,
0.05193859338760376,
0.08654308319091797,
0.0059424154460430145,
0.010887... |
https://github.com/scikit-learn/scikit-learn/issues/30247 | [
"Documentation"
] | Notes to update the release process
This issue is used to consolidate the point that needs to be updated in the release process, notably due to the adoption of towncrier.
### RC release process:
- when requesting to bump the version number of `dev0` in `main`, we need to request changing the root RST file target... | 30,247 | [
0.009685041382908821,
0.08095014840364456,
-0.003118010237812996,
-0.021298633888363838,
-0.014039048925042152,
-0.03618781641125679,
0.011371559463441372,
-0.00986748281866312,
-0.08047168701887131,
-0.010457946918904781,
0.04965109005570412,
0.05650865659117699,
0.019817400723695755,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30247 | [
"Documentation"
] | Notes to update the release process
This issue is used to consolidate the point that needs to be updated in the release process, notably due to the adoption of towncrier.
### RC release process:
- when requesting to bump the version number of `dev0` in `main`, we need to request changing the root RST file target... | 30,247 | [
0.01362303365021944,
0.06174003705382347,
0.0052106804214417934,
-0.03335407003760338,
-0.026100650429725647,
-0.0341939702630043,
0.018540501594543457,
-0.01301899179816246,
-0.038440603762865067,
-0.008956552483141422,
0.07032733410596848,
0.08607619255781174,
0.005111999809741974,
0.014... |
https://github.com/scikit-learn/scikit-learn/issues/30242 | [
"Documentation"
] | Missing link to how to install dev version on the top bar
We used to have a link to "how to install this dev version via nightly releases" when the user explores the `/dev/` version of the website. But now we have:
I'm no... | 30,242 | [
0.05838080495595932,
0.007752583362162113,
-0.06140315160155296,
-0.06743214279413223,
0.022111685946583748,
0.021424168720841408,
0.03972814604640007,
0.03295160457491875,
0.0003363744472153485,
0.01146399974822998,
0.00925665907561779,
-0.014887480065226555,
-0.0216425321996212,
-0.00750... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.02729523740708828,
-0.09712906181812286,
0.010866782627999783,
-0.03302213177084923,
-0.022075852379202843,
-0.002025945344939828,
-0.02296959049999714,
0.04028491675853729,
-0.033319152891635895,
-0.005349551327526569,
0.019245529547333717,
0.01727125607430935,
0.008337119594216347,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.027483314275741577,
-0.09790854901075363,
0.010622830130159855,
-0.03413882851600647,
-0.022247979417443275,
-0.002227979712188244,
-0.02278885431587696,
0.04078860208392143,
-0.03323965519666672,
-0.005016079172492027,
0.018877392634749413,
0.016666242852807045,
0.008036601357161999,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.027228303253650665,
-0.0980706587433815,
0.009247168898582458,
-0.0323694683611393,
-0.01875138469040394,
-0.0032220114953815937,
-0.021196607500314713,
0.04162159562110901,
-0.03365277498960495,
-0.0035969936288893223,
0.018668079748749733,
0.018011730164289474,
0.007796248886734247,
-... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.02909383550286293,
-0.10040446370840073,
0.010156293399631977,
-0.03406905382871628,
-0.024293718859553337,
-0.0017175942193716764,
-0.02244758792221546,
0.040329378098249435,
-0.031445011496543884,
-0.0058576189912855625,
0.020357288420200348,
0.015045490115880966,
0.007992650382220745,
... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.029026726260781288,
-0.09766393899917603,
0.010789514519274235,
-0.03332265838980675,
-0.022021077573299408,
-0.002011227421462536,
-0.022617336362600327,
0.04079550877213478,
-0.03197135776281357,
-0.0036762722302228212,
0.020399844273924828,
0.017491720616817474,
0.006567311938852072,
... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.027408907189965248,
-0.09791664779186249,
0.010531548410654068,
-0.0338725745677948,
-0.022106537595391273,
-0.0025295482482761145,
-0.022122729569673538,
0.04020955413579941,
-0.03220222890377045,
-0.005051571410149336,
0.01952338218688965,
0.0174091849476099,
0.007604260463267565,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/30240 | [
"Documentation",
"Needs Triage"
] | Clarification on Kruskal Stress as an Optimization Target in Metric and Non-metric MDS
### Describe the issue linked to the documentation
I am working on research involving the optimization targets used in metric and non-metric MDS, and I have some questions regarding how scikit-learn's implementation of MDS defines ... | 30,240 | [
-0.027701647952198982,
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0.01026493776589632,
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0.04041418805718422,
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-0.004872209392488003,
0.01994282938539982,
0.017386415973305702,
0.007194059435278177,
... |
https://github.com/scikit-learn/scikit-learn/issues/30238 | [
"Bug",
"Easy",
"help wanted"
] | Missing format string arguments
This assertion error string is not properly formatted as the 2 format arguments `y_pred.shape` and `y.shape` are missing:
https://github.com/scikit-learn/scikit-learn/blob/551d56c254197c4b6ad63974d749824ed2c7bc58/sklearn/utils/estimator_checks.py#L2139
```python
assert y_pred.sha... | 30,238 | [
0.017237581312656403,
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0.09834540635347366,
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0.07493530213832855,
0.022899728268384933,
0.045495372265577316,
0.0076977405697107315,
0.05477850139141083,
0.0001707440969767049,
0.028825145214796066,
0... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30237 | [
"Bug",
"Developer API"
] | BUG: Test collection for Transformer fails
### Describe the bug
On latest `scientific-python-nightly-wheels` wheel things were passing yesterday but [now we now get the following](https://github.com/mne-tools/mne-python/actions/runs/11720293695/job/32675716039#step:17:68) when [using parametrize_with_checks](https:... | 30,237 | [
0.0009138360037468374,
0.019373156130313873,
-0.0006193089066073298,
-0.00000954897313931724,
0.07631602138280869,
0.017242370173335075,
0.01824919506907463,
0.09475584328174591,
-0.041021257638931274,
-0.041073769330978394,
0.038775116205215454,
0.08935808390378952,
-0.021588312461972237,
... |
https://github.com/scikit-learn/scikit-learn/issues/30228 | [
"Developer API"
] | Have a common test in check_estimator checking for the right order of mixin inheritance
xref: https://github.com/scikit-learn/scikit-learn/pull/30227#pullrequestreview-2416421266
We should make sure it goes the right way, so that tags are set correctly, and to avoid other potential issues.
COMMENT:
I guess the mai... | 30,228 | [
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0.032353706657886505,
0.01653135009109974,
0.026856349781155586,
0.007108998950570822,
0.02286493219435215,
-0.006899775937199593,
0.008850467391312122,
0.037377431988716125,
0.0006860055727884173,
0.05005170404911041,
-0.0038549297023564577,
0.01770905591547489,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30228 | [
"Developer API"
] | Have a common test in check_estimator checking for the right order of mixin inheritance
xref: https://github.com/scikit-learn/scikit-learn/pull/30227#pullrequestreview-2416421266
We should make sure it goes the right way, so that tags are set correctly, and to avoid other potential issues.
COMMENT:
Yeah the main c... | 30,228 | [
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0.042036525905132294,
0.025509366765618324,
0.005570970010012388,
0.03331485763192177,
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0.002838938497006893,
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0.03256254643201828,
0.0035905567929148674,
0.03071415051817894,
0.007966268807649612,
-0.01847638189792633,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30225 | [
"Documentation",
"Needs Triage"
] | Label Encoder example typo
### Describe the issue linked to the documentation
In the [Label Encoder](https://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.LabelEncoder.html) documentation, the example uses an array to demonstrate the functioning of label encoding. But the arrays used in fit and transfo... | 30,225 | [
0.021086525171995163,
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0.007197922561317682,
0.059342630207538605,
0.04425271600484848,
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0.0907617136836052,
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-0.020532164722681046,
0.028755303472280502,
0.061058178544044495,
0.056671228259801865,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30225 | [
"Documentation",
"Needs Triage"
] | Label Encoder example typo
### Describe the issue linked to the documentation
In the [Label Encoder](https://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.LabelEncoder.html) documentation, the example uses an array to demonstrate the functioning of label encoding. But the arrays used in fit and transfo... | 30,225 | [
0.02209460735321045,
-0.03701983019709587,
-0.0023781803902238607,
0.06735797971487045,
0.03464201092720032,
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0.08168812096118927,
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-0.03408991917967796,
0.023568520322442055,
0.061701130121946335,
0.05044931173324585,
0.03... |
https://github.com/scikit-learn/scikit-learn/issues/30225 | [
"Documentation",
"Needs Triage"
] | Label Encoder example typo
### Describe the issue linked to the documentation
In the [Label Encoder](https://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.LabelEncoder.html) documentation, the example uses an array to demonstrate the functioning of label encoding. But the arrays used in fit and transfo... | 30,225 | [
0.02053648605942726,
-0.04200896620750427,
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0.07090664654970169,
0.03792538866400719,
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0.08402146399021149,
0.0005690358811989427,
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0.021749380975961685,
0.06416352093219757,
0.04455821216106415,
0.03408... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30223 | [
"New Feature",
"Needs Decision"
] | Add Accumulated local effects (ALE) to inspection
### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph's online book https://christophm.github.io/interpretable-ml-book/ale.ht... | 30,223 | [
-0.029725978150963783,
0.1308445781469345,
0.03542289510369301,
0.026075288653373718,
0.003103266702964902,
-0.009179307147860527,
0.04630329832434654,
-0.0011792602017521858,
0.030022496357560158,
0.02129347249865532,
-0.0053754146210849285,
0.05751718580722809,
-0.03216645121574402,
0.07... |
https://github.com/scikit-learn/scikit-learn/issues/30222 | [
"Bug",
"Build / CI"
] | Changelog check on towncrier false positive case
Observed on this PR: https://github.com/scikit-learn/scikit-learn/pull/30209
This run: https://github.com/scikit-learn/scikit-learn/actions/runs/11681055082/job/32525320042?pr=30209
The PR needs to add PR number to existing changelog, and changes another affected ch... | 30,222 | [
0.04045763984322548,
0.029945941641926765,
0.004305874928832054,
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0.08033846318721771,
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-0.002493615262210369,
... |
https://github.com/scikit-learn/scikit-learn/issues/30221 | [
"Documentation",
"Build / CI"
] | RFC Remove top level indentation from changelog entry files after towncrier
I just saw a PR where the changelog entry didn't have the top level indentation, i.e., it looks like this:
```
This is my multi line
change log
By Author
```
instead of
```
- This is my multi line
change log
By Author
```... | 30,221 | [
0.008607360534369946,
0.045674968510866165,
0.01089751161634922,
0.013384412974119186,
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0.01007112581282854,
0.06470172107219696,
0.0016255618538707495,
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-0.008821593597531319,
0.07386758178472519,
0.005902932025492191,
-0.02299349568784237,
-0.00... |
https://github.com/scikit-learn/scikit-learn/issues/30221 | [
"Documentation",
"Build / CI"
] | RFC Remove top level indentation from changelog entry files after towncrier
I just saw a PR where the changelog entry didn't have the top level indentation, i.e., it looks like this:
```
This is my multi line
change log
By Author
```
instead of
```
- This is my multi line
change log
By Author
```... | 30,221 | [
0.010369708761572838,
0.04396285489201546,
0.014889324083924294,
0.003284228267148137,
-0.025417853146791458,
0.016291551291942596,
0.06041178107261658,
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0.0068284631706774235,
-0.009625053964555264,
0.06630422174930573,
0.013965286314487457,
-0.034882884472608566,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/30220 | [
"Build / CI"
] | Missing dev changelog from the rendered website after towncrier
We should add a step to the doc build CI where we render the changelog from the existing files, and have it also under the `dev` of the website as it was before.
This also helps checking rendered changelog from the PRs.
cc @lesteve @glemaitre
COMME... | 30,220 | [
-0.010682601481676102,
0.04659387096762657,
-0.011874211020767689,
-0.01952780969440937,
0.006338611710816622,
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0.021059216931462288,
0.048361919820308685,
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-0.02550528571009636,
0.05823342874646187,
-0.0038291544187813997,
-0.011895718984305859,
... |
https://github.com/scikit-learn/scikit-learn/issues/30220 | [
"Build / CI"
] | Missing dev changelog from the rendered website after towncrier
We should add a step to the doc build CI where we render the changelog from the existing files, and have it also under the `dev` of the website as it was before.
This also helps checking rendered changelog from the PRs.
cc @lesteve @glemaitre
COMME... | 30,220 | [
-0.011967227794229984,
0.051209114491939545,
-0.007002761121839285,
-0.022629644721746445,
0.0077896686270833015,
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0.05073213949799538,
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0.048293132334947586,
-0.003693599719554186,
-0.0077828653156757355,
... |
https://github.com/scikit-learn/scikit-learn/issues/30218 | [
"Documentation"
] | Add drawings to demonstrate Pipeline, ColumnTransformer, and FeatureUnion
### Describe the issue linked to the documentation
Several classes allow one to build a complete pipeline, namely Pipeline, ColumnTransformer and FeatureUnion. Those are documented at https://scikit-learn.org/stable/modules/compose.html, most... | 30,218 | [
-0.0534750260412693,
0.07059436291456223,
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0.0024394020438194275,
0.08360905945301056,
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0.006316985469311476,
0.06529233604669571,
-0.04672284051775932,
0.04643046110868454,
0.0644... |
https://github.com/scikit-learn/scikit-learn/issues/30213 | [
"New Feature",
"module:gaussian_process",
"Needs Investigation"
] | Tuning `alpha` in `GaussianProcessRegressor`
### Describe the workflow you want to enable
In the [GaussianProcessRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html), `alpha` stands for the likelihood variance of the targets given the inputs: $Y = f(X)... | 30,213 | [
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0.027982383966445923,
0.018915114924311638,
0.037042874842882156,
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0.008845219388604164,
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0.008869480341672897,
0.03415112569928169,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30213 | [
"New Feature",
"module:gaussian_process",
"Needs Investigation"
] | Tuning `alpha` in `GaussianProcessRegressor`
### Describe the workflow you want to enable
In the [GaussianProcessRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html), `alpha` stands for the likelihood variance of the targets given the inputs: $Y = f(X)... | 30,213 | [
-0.02074120193719864,
0.07499119639396667,
0.027491459622979164,
0.019131574779748917,
0.039269447326660156,
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0.0005365705001167953,
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0.004688828717917204,
-0.006252954714000225,
0.010335125029087067,
0.03813968598842621,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/30213 | [
"New Feature",
"module:gaussian_process",
"Needs Investigation"
] | Tuning `alpha` in `GaussianProcessRegressor`
### Describe the workflow you want to enable
In the [GaussianProcessRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html), `alpha` stands for the likelihood variance of the targets given the inputs: $Y = f(X)... | 30,213 | [
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0.0294176172465086,
0.014558722265064716,
0.0307820625603199,
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0.018710734322667122,
-0.01336679421365261,
0.020455962046980858,
0.04333380237221718,
0.076664... |
https://github.com/scikit-learn/scikit-learn/issues/30213 | [
"New Feature",
"module:gaussian_process",
"Needs Investigation"
] | Tuning `alpha` in `GaussianProcessRegressor`
### Describe the workflow you want to enable
In the [GaussianProcessRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html), `alpha` stands for the likelihood variance of the targets given the inputs: $Y = f(X)... | 30,213 | [
-0.020077314227819443,
0.0767752006649971,
0.026904650032520294,
0.03049425594508648,
0.04014778882265091,
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0.0000037287404666130897,
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0.008081715553998947,
-0.007948165759444237,
0.0075022936798632145,
0.03975514695048332,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/30213 | [
"New Feature",
"module:gaussian_process",
"Needs Investigation"
] | Tuning `alpha` in `GaussianProcessRegressor`
### Describe the workflow you want to enable
In the [GaussianProcessRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html), `alpha` stands for the likelihood variance of the targets given the inputs: $Y = f(X)... | 30,213 | [
-0.013005738146603107,
0.06336291879415512,
0.030399005860090256,
0.020085183903574944,
0.04097408428788185,
-0.04295263811945915,
-0.009835528209805489,
-0.0026021264493465424,
-0.040637388825416565,
0.01526951789855957,
-0.005669728387147188,
0.008186103776097298,
0.03722463920712471,
0.... |
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