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/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.010190000757575035,
0.10270854085683823,
0.05647295340895653,
-0.024012291803956032,
0.025094304233789444,
0.008990094065666199,
0.02641894668340683,
0.017209326848387718,
0.02139352075755596,
-0.024918755516409874,
-0.016154460608959198,
0.046662501990795135,
0.002157321199774742,
0.08... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.013234179466962814,
0.1015443205833435,
0.05646622180938721,
-0.028773292899131775,
0.03162159398198128,
0.003970704041421413,
0.013757978565990925,
0.01746634766459465,
0.036723244935274124,
-0.022106124088168144,
-0.017935222014784813,
0.04631204158067703,
0.0024229399859905243,
0.082... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.013652858324348927,
0.10104985535144806,
0.05474148318171501,
-0.032232869416475296,
0.018582899123430252,
0.003919424954801798,
0.019962500780820847,
0.012381695210933685,
0.005902667995542288,
-0.01577925868332386,
-0.01772340200841427,
0.05058283731341362,
-0.0061927963979542255,
0.1... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.013135265558958054,
0.10211500525474548,
0.05986562743782997,
-0.02076559327542782,
0.023565957322716713,
0.00603207852691412,
0.025800256058573723,
0.017944591119885445,
0.021306462585926056,
-0.01593666337430477,
-0.01774013787508011,
0.044120363891124725,
0.00018319573428016156,
0.09... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.012182457372546196,
0.11357063055038452,
0.05763363465666771,
-0.023668909445405006,
0.01876136288046837,
0.008325320668518543,
0.029211198911070824,
0.011327184736728668,
0.02440212108194828,
-0.020159635692834854,
-0.008899316191673279,
0.0320289172232151,
0.005317867733538151,
0.0885... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.004471614025533199,
0.06875015050172806,
0.06771036237478256,
-0.006027781404554844,
0.060612890869379044,
0.010553332045674324,
0.015248647890985012,
0.009132389910519123,
0.059144407510757446,
-0.008525034412741661,
-0.02623654343187809,
0.058967120945453644,
-0.0017327656969428062,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
0.0005940371775068343,
0.08875961601734161,
0.0599479041993618,
-0.03265601769089699,
0.03965786099433899,
0.0025939184706658125,
0.008081505075097084,
0.011604095809161663,
0.04746580496430397,
-0.019109945744276047,
-0.011025340296328068,
0.057875845581293106,
-0.0010428486857563257,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.011628678068518639,
0.10285747051239014,
0.05404175817966461,
-0.026432789862155914,
0.020866116508841515,
0.008182511664927006,
0.02552717737853527,
0.019282618537545204,
0.02022438496351242,
-0.023117592558264732,
-0.012499754317104816,
0.043309591710567474,
0.0034396646078675985,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.013462311588227749,
0.10303575545549393,
0.055683016777038574,
-0.025352293625473976,
0.02638331800699234,
0.008634792640805244,
0.02907026931643486,
0.021763106808066368,
0.020645856857299805,
-0.0210307314991951,
-0.011908600106835365,
0.04170462116599083,
0.0035246736370027065,
0.092... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.0026360969059169292,
0.09142620861530304,
0.05924137309193611,
-0.030872032046318054,
0.023728014901280403,
0.013533497229218483,
0.024063261225819588,
0.022631941363215446,
0.030214950442314148,
-0.027575261890888214,
0.003131146775558591,
0.03982662409543991,
-0.0020041323732584715,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
0.0050235409289598465,
0.0847276970744133,
0.06969954818487167,
-0.02647453546524048,
0.02900705859065056,
0.008638332597911358,
0.020514177158474922,
0.016740236431360245,
0.03982216492295265,
-0.031034259125590324,
-0.004671463742852211,
0.05379156023263931,
0.0021108144428581,
0.0866736... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
0.000007584866580145899,
0.10856098681688309,
0.052739232778549194,
-0.02374986559152603,
0.018098510801792145,
0.011738913133740425,
0.013667370192706585,
0.016015592962503433,
0.015042134560644627,
-0.025270670652389526,
-0.008164389058947563,
0.04555606469511986,
0.0051415651105344296,
... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
0.0005080263363197446,
0.10148116946220398,
0.06955979019403458,
-0.02835799753665924,
0.02427731081843376,
0.011407479643821716,
0.02674744836986065,
0.01572534628212452,
0.04247744753956795,
-0.02144649252295494,
-0.009128347970545292,
0.04236028343439102,
-0.00011778758198488504,
0.1007... |
https://github.com/scikit-learn/scikit-learn/issues/28995 | [
"New Feature",
"API",
"Needs Decision",
"RFC",
"module:metrics"
] | Add "scoring" argument to estimator's ``score`` method
### Describe the workflow you want to enable
I want to enable non-accuracy metrics to ``estimator.score``, and ultimately deprecate the default values of ``accuracy`` and ``r2``. I would call it ``scoring`` though it's a bit redundant but consistent.
That woul... | 28,995 | [
-0.005638384260237217,
0.09008435904979706,
0.06921252608299255,
-0.026874154806137085,
0.028432682156562805,
0.005744593683630228,
0.029445037245750427,
0.014945680275559425,
0.03581586480140686,
-0.021082306280732155,
-0.009033862501382828,
0.05655520781874657,
0.0021004010923206806,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28994 | [
"Documentation"
] | StratifiedShuffleSplit requires three copies of a lower class, rather than 2
### Describe the bug
When we want to use `StratifiedShuffleSplit` to train test split across classes, we would expect we need 2 samples of the lowest represented class: 1 for test, one for train. We don't get this: we need 3 samples of the... | 28,994 | [
-0.002950264373794198,
-0.043379977345466614,
0.01604974828660488,
0.04704108461737633,
0.032756734639406204,
-0.027393599972128868,
0.09670362621545792,
0.04120717942714691,
-0.020323531702160835,
-0.04124891385436058,
0.055328406393527985,
-0.012954941019415855,
-0.0005415438208729029,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28994 | [
"Documentation"
] | StratifiedShuffleSplit requires three copies of a lower class, rather than 2
### Describe the bug
When we want to use `StratifiedShuffleSplit` to train test split across classes, we would expect we need 2 samples of the lowest represented class: 1 for test, one for train. We don't get this: we need 3 samples of the... | 28,994 | [
-0.002950264373794198,
-0.043379977345466614,
0.01604974828660488,
0.04704108461737633,
0.032756734639406204,
-0.027393599972128868,
0.09670362621545792,
0.04120717942714691,
-0.020323531702160835,
-0.04124891385436058,
0.055328406393527985,
-0.012954941019415855,
-0.0005415438208729029,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28993 | [
"Bug"
] | MemoryLeak in `LogisticRession`
### Describe the bug
repro
* Repeatedly call `LogisticRegression().fit(X, y)` on same size feature matrix. Or run the attached repro-script.
expected
* The max memory allocated is steady regardless the number of train calls.
actual
* Memory usage grows linear with the number... | 28,993 | [
0.031968969851732254,
0.010626370087265968,
0.03381090983748436,
0.002432381035760045,
0.0730084627866745,
0.0005487326998263597,
-0.030937040224671364,
0.012391279451549053,
0.017040297389030457,
0.0024719706270843744,
0.07849561423063278,
0.04765778034925461,
-0.01834406889975071,
0.0031... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.011530818417668343,
0.033603038638830185,
0.019776172935962677,
0.0038380268961191177,
0.02008328214287758,
-0.01151364203542471,
-0.007573713082820177,
0.006563230417668819,
0.004703938961029053,
-0.030936002731323242,
0.008386239409446716,
0.01653842255473137,
0.04047270864248276,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
0.005592187866568565,
-0.007047914434224367,
0.002132987603545189,
0.0007649389444850385,
0.010710598900914192,
7.496884535385107e-8,
0.005420878995209932,
-0.0011681705946102738,
-0.025332428514957428,
-0.029117442667484283,
0.02182074449956417,
0.03709055855870247,
0.036195430904626846,
... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
0.0022604644764214754,
0.014422833919525146,
-0.004966699983924627,
0.005370474886149168,
-0.0018329106969758868,
-0.00043223483953624964,
-0.002168295904994011,
-0.007875187322497368,
-0.022643636912107468,
-0.0310855433344841,
0.03171546757221222,
0.022463031113147736,
0.04523060470819473,... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.0006933552213013172,
0.0797325000166893,
0.00757664255797863,
-0.0027971575036644936,
0.007894798181951046,
0.003226812928915024,
-0.010781473480165005,
0.039840925484895706,
0.005829093977808952,
-0.016710298135876656,
0.03275981917977333,
0.03841389715671539,
0.002024151384830475,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.016354646533727646,
0.033679962158203125,
0.002665288047865033,
0.004744523670524359,
0.016325099393725395,
-0.010817774571478367,
0.02869196981191635,
0.016138756647706032,
0.014309477992355824,
-0.03264695778489113,
0.020842628553509712,
0.05482242628931999,
0.02498963288962841,
0.060... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.009881095960736275,
0.014309232123196125,
0.012756823562085629,
0.0035234512761235237,
0.026885798200964928,
0.006459245923906565,
-0.0027533487882465124,
-0.00015149472164921463,
0.025836672633886337,
-0.012598969973623753,
-0.005632507149130106,
0.02582494728267193,
0.023550523445010185... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.001191207324154675,
0.03555157408118248,
-0.0007349244551733136,
-0.03129582479596138,
0.01257712859660387,
0.0033751986920833588,
-0.002335047349333763,
0.027560260146856308,
-0.0043596611358225346,
-0.04421981796622276,
0.016641434282064438,
0.054808348417282104,
0.017412113025784492,
... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
0.012002668343484402,
0.03498551994562149,
0.00998527742922306,
-0.00033914591767825186,
0.010366433300077915,
0.004716286435723305,
-0.006539531517773867,
0.03632570803165436,
-0.0005212576943449676,
-0.06385476887226105,
0.035114895552396774,
0.03294233977794647,
0.02190752699971199,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.008981147781014442,
0.007173687685281038,
0.02460700273513794,
0.02457767352461815,
0.04099734127521515,
-0.007927429862320423,
0.024754781275987625,
0.020848602056503296,
0.020134473219513893,
-0.027188053354620934,
-0.017394091933965683,
0.042009077966213226,
0.034588027745485306,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28985 | [
"Documentation",
"Needs Triage"
] | What about negative coefficients / feature weights?
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#model-without-metadata-stripping
In this example, in the code for the function `plot_feature_effects` it sorts the... | 28,985 | [
-0.009182913228869438,
0.027464091777801514,
0.00899556465446949,
0.005444932729005814,
0.01602013222873211,
-0.01615184359252453,
0.005255792755633593,
0.0161391980946064,
0.005830283276736736,
-0.025918379426002502,
0.02315145917236805,
0.015511637553572655,
0.03810112923383713,
0.077381... |
https://github.com/scikit-learn/scikit-learn/issues/28983 | [
"Bug",
"Needs Triage"
] | Saving and loading calibratedclassifierCV model (ensemble)
### Describe the bug
Unable to load the saved calibratedclassifierCV model to a pickle file (.pkl) trained with cv=n
as that is a list of models
### Steps/Code to Reproduce
calibratedclassifier.dump('model.pkl')
model= pickle.load('model.pkl')
### Expect... | 28,983 | [
-0.011021286249160767,
0.005693117156624794,
0.021642319858074188,
0.004336570389568806,
0.04086422920227051,
0.023129254579544067,
0.02755531296133995,
0.0209545586258173,
0.049655452370643616,
-0.0193308237940073,
0.005874099209904671,
0.08112736791372299,
0.014089012518525124,
-0.023987... |
https://github.com/scikit-learn/scikit-learn/issues/28983 | [
"Bug",
"Needs Triage"
] | Saving and loading calibratedclassifierCV model (ensemble)
### Describe the bug
Unable to load the saved calibratedclassifierCV model to a pickle file (.pkl) trained with cv=n
as that is a list of models
### Steps/Code to Reproduce
calibratedclassifier.dump('model.pkl')
model= pickle.load('model.pkl')
### Expect... | 28,983 | [
-0.014334672130644321,
-0.007559380494058132,
0.017236560583114624,
0.0056441486813127995,
0.05178380757570267,
0.026083456352353096,
0.0302931759506464,
0.01730365864932537,
0.06601755321025848,
-0.008475661277770996,
0.006170032080262899,
0.07498762011528015,
0.00934007577598095,
-0.0012... |
https://github.com/scikit-learn/scikit-learn/issues/28983 | [
"Bug",
"Needs Triage"
] | Saving and loading calibratedclassifierCV model (ensemble)
### Describe the bug
Unable to load the saved calibratedclassifierCV model to a pickle file (.pkl) trained with cv=n
as that is a list of models
### Steps/Code to Reproduce
calibratedclassifier.dump('model.pkl')
model= pickle.load('model.pkl')
### Expect... | 28,983 | [
-0.013591731898486614,
0.004029980394989252,
0.020727772265672684,
-0.0035197956021875143,
0.030603915452957153,
0.01661400869488716,
0.021903088316321373,
0.01601565070450306,
0.063931904733181,
-0.016021881252527237,
0.0261515025049448,
0.07820668816566467,
0.011440301313996315,
0.011024... |
https://github.com/scikit-learn/scikit-learn/issues/28982 | [
"Enhancement"
] | Add zero_division for single class prediction in MCC
### Describe the bug
I have found a potential edge case issue with _sklearn.metrics.matthews_corrcoef_. The example provided in the documentation works as expected:
```python
from sklearn.metrics import matthews_corrcoef
matthews_corrcoef([1, 1, 1, -1], [1, -1... | 28,982 | [
-0.023953184485435486,
0.0012343137059360743,
0.04545677825808525,
-0.007837574928998947,
0.04109347239136696,
-0.013743645511567593,
0.04764343053102493,
-0.004151601810008287,
-0.07999181002378464,
-0.03227755054831505,
0.05730704963207245,
0.040024418383836746,
-0.00938377808779478,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28982 | [
"Enhancement"
] | Add zero_division for single class prediction in MCC
### Describe the bug
I have found a potential edge case issue with _sklearn.metrics.matthews_corrcoef_. The example provided in the documentation works as expected:
```python
from sklearn.metrics import matthews_corrcoef
matthews_corrcoef([1, 1, 1, -1], [1, -1... | 28,982 | [
-0.023953184485435486,
0.0012343137059360743,
0.04545677825808525,
-0.007837574928998947,
0.04109347239136696,
-0.013743645511567593,
0.04764343053102493,
-0.004151601810008287,
-0.07999181002378464,
-0.03227755054831505,
0.05730704963207245,
0.040024418383836746,
-0.00938377808779478,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28982 | [
"Enhancement"
] | Add zero_division for single class prediction in MCC
### Describe the bug
I have found a potential edge case issue with _sklearn.metrics.matthews_corrcoef_. The example provided in the documentation works as expected:
```python
from sklearn.metrics import matthews_corrcoef
matthews_corrcoef([1, 1, 1, -1], [1, -1... | 28,982 | [
-0.023953184485435486,
0.0012343137059360743,
0.04545677825808525,
-0.007837574928998947,
0.04109347239136696,
-0.013743645511567593,
0.04764343053102493,
-0.004151601810008287,
-0.07999181002378464,
-0.03227755054831505,
0.05730704963207245,
0.040024418383836746,
-0.00938377808779478,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28982 | [
"Enhancement"
] | Add zero_division for single class prediction in MCC
### Describe the bug
I have found a potential edge case issue with _sklearn.metrics.matthews_corrcoef_. The example provided in the documentation works as expected:
```python
from sklearn.metrics import matthews_corrcoef
matthews_corrcoef([1, 1, 1, -1], [1, -1... | 28,982 | [
-0.023953184485435486,
0.0012343137059360743,
0.04545677825808525,
-0.007837574928998947,
0.04109347239136696,
-0.013743645511567593,
0.04764343053102493,
-0.004151601810008287,
-0.07999181002378464,
-0.03227755054831505,
0.05730704963207245,
0.040024418383836746,
-0.00938377808779478,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28979 | [
"Documentation"
] | Documentation says scikit-learn latest versions still supports Python 3.8
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html#installing-the-latest-release
"Scikit-learn 1.1 and later requires Python 3.8 or newer"
The latest versions of scikit-learn require Python 3.9 o... | 28,979 | [
0.0253765769302845,
-0.014478230848908424,
-0.00475273234769702,
-0.07681506872177124,
0.004183504730463028,
0.02101021073758602,
0.037928398698568344,
0.03594814985990524,
0.03958902880549431,
-0.05460791662335396,
0.05541306361556053,
0.07798753678798676,
-0.01219113264232874,
0.01823966... |
https://github.com/scikit-learn/scikit-learn/issues/28979 | [
"Documentation"
] | Documentation says scikit-learn latest versions still supports Python 3.8
### Describe the issue linked to the documentation
https://scikit-learn.org/stable/install.html#installing-the-latest-release
"Scikit-learn 1.1 and later requires Python 3.8 or newer"
The latest versions of scikit-learn require Python 3.9 o... | 28,979 | [
0.019907061010599136,
-0.01625428907573223,
0.0030371618922799826,
-0.06513991206884384,
0.007569344714283943,
0.028811965137720108,
0.04367075860500336,
0.03836365416646004,
0.07435378432273865,
-0.051363781094551086,
0.04526970535516739,
0.08314931392669678,
-0.020789504051208496,
0.0174... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28978 | [
"Enhancement",
"Build / CI",
"free-threading"
] | Add support for Python 3.13 free-threaded build
I'm currently working on adding support for the Python 3.13 free-threaded build to projects in the scientific python ecosystem. We are tracking this work at https://github.com/Quansight-Labs/free-threaded-compatibility. Right now we're focusing on projects relatively low... | 28,978 | [
-0.03406526520848274,
0.031072910875082016,
-0.014937670901417732,
-0.033101193606853485,
0.014081696979701519,
0.057966239750385284,
0.03666118159890175,
0.060641657561063766,
0.05072163790464401,
-0.012288719415664673,
0.02741960994899273,
0.07102297991514206,
-0.038458772003650665,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/28977 | [
"Bug",
"free-threading"
] | Consider bumping C standard in meson.build from C99 to C17
### Describe the bug
Currently, trying to build scikit-learn with the python 3.13 free-threaded build leads to a compilation error related to usage of `static_assert` in CPython internals. This leaks into public code via cython's adding `#include "internal/py... | 28,977 | [
-0.011413424275815487,
0.020646750926971436,
0.00240618665702641,
-0.010219220072031021,
0.04794389382004738,
0.04026980698108673,
-0.032476894557476044,
0.005306183360517025,
-0.04096498712897301,
-0.032038651406764984,
0.057861898094415665,
0.060229938477277756,
-0.02992292121052742,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28977 | [
"Bug",
"free-threading"
] | Consider bumping C standard in meson.build from C99 to C17
### Describe the bug
Currently, trying to build scikit-learn with the python 3.13 free-threaded build leads to a compilation error related to usage of `static_assert` in CPython internals. This leaks into public code via cython's adding `#include "internal/py... | 28,977 | [
-0.011413424275815487,
0.020646750926971436,
0.00240618665702641,
-0.010219220072031021,
0.04794389382004738,
0.04026980698108673,
-0.032476894557476044,
0.005306183360517025,
-0.04096498712897301,
-0.032038651406764984,
0.057861898094415665,
0.060229938477277756,
-0.02992292121052742,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28976 | [
"Documentation",
"help wanted"
] | `min_samples` in HDSCAN
### Describe the issue linked to the documentation
I find the description of the `min_samples` argument in sklearn.cluster.HDBSCAN confusing.
It says "The number of samples in a neighborhood for a point to be considered as a core point. This includes the point itself."
But if I understan... | 28,976 | [
-0.016177332028746605,
-0.12555009126663208,
0.0021672651637345552,
-0.0409870371222496,
-0.07424838095903397,
0.02903672121465206,
0.055093955248594284,
0.012715560384094715,
0.02934245578944683,
0.038583047688007355,
0.048613812774419785,
0.001634593354538083,
0.052212346345186234,
-0.04... |
https://github.com/scikit-learn/scikit-learn/issues/28976 | [
"Documentation",
"help wanted"
] | `min_samples` in HDSCAN
### Describe the issue linked to the documentation
I find the description of the `min_samples` argument in sklearn.cluster.HDBSCAN confusing.
It says "The number of samples in a neighborhood for a point to be considered as a core point. This includes the point itself."
But if I understan... | 28,976 | [
-0.016177332028746605,
-0.12555009126663208,
0.0021672651637345552,
-0.0409870371222496,
-0.07424838095903397,
0.02903672121465206,
0.055093955248594284,
0.012715560384094715,
0.02934245578944683,
0.038583047688007355,
0.048613812774419785,
0.001634593354538083,
0.052212346345186234,
-0.04... |
https://github.com/scikit-learn/scikit-learn/issues/28976 | [
"Documentation",
"help wanted"
] | `min_samples` in HDSCAN
### Describe the issue linked to the documentation
I find the description of the `min_samples` argument in sklearn.cluster.HDBSCAN confusing.
It says "The number of samples in a neighborhood for a point to be considered as a core point. This includes the point itself."
But if I understan... | 28,976 | [
-0.016177332028746605,
-0.12555009126663208,
0.0021672651637345552,
-0.0409870371222496,
-0.07424838095903397,
0.02903672121465206,
0.055093955248594284,
0.012715560384094715,
0.02934245578944683,
0.038583047688007355,
0.048613812774419785,
0.001634593354538083,
0.052212346345186234,
-0.04... |
https://github.com/scikit-learn/scikit-learn/issues/28970 | [
"New Feature",
"Needs Triage"
] | User Should Have An Option To Assign Different criterions With Different Percentage Of Trees In Random Forest
## Describe the workflow you want to enable
### **Detailed Explanation Of Proposed Workflow**
User can mention how many percentage of trees in `sklearn.ensemble.RandomForestClassifier` & `sklearn.ensembl... | 28,970 | [
0.04678104817867279,
0.013721492141485214,
0.01503198966383934,
-0.022904638200998306,
-0.005829210393130779,
-0.024493753910064697,
-0.04277343675494194,
0.022958720102906227,
-0.01677621714770794,
-0.03856397420167923,
-0.015632594004273415,
0.01122595090419054,
-0.04384559392929077,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28970 | [
"New Feature",
"Needs Triage"
] | User Should Have An Option To Assign Different criterions With Different Percentage Of Trees In Random Forest
## Describe the workflow you want to enable
### **Detailed Explanation Of Proposed Workflow**
User can mention how many percentage of trees in `sklearn.ensemble.RandomForestClassifier` & `sklearn.ensembl... | 28,970 | [
0.04678104817867279,
0.013721492141485214,
0.01503198966383934,
-0.022904638200998306,
-0.005829210393130779,
-0.024493753910064697,
-0.04277343675494194,
0.022958720102906227,
-0.01677621714770794,
-0.03856397420167923,
-0.015632594004273415,
0.01122595090419054,
-0.04384559392929077,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28970 | [
"New Feature",
"Needs Triage"
] | User Should Have An Option To Assign Different criterions With Different Percentage Of Trees In Random Forest
## Describe the workflow you want to enable
### **Detailed Explanation Of Proposed Workflow**
User can mention how many percentage of trees in `sklearn.ensemble.RandomForestClassifier` & `sklearn.ensembl... | 28,970 | [
0.04678104817867279,
0.013721492141485214,
0.01503198966383934,
-0.022904638200998306,
-0.005829210393130779,
-0.024493753910064697,
-0.04277343675494194,
0.022958720102906227,
-0.01677621714770794,
-0.03856397420167923,
-0.015632594004273415,
0.01122595090419054,
-0.04384559392929077,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28966 | [
"Documentation",
"Developer API"
] | Is it intention to drop `check_estimator_sparse_data` in 1.5?
### Describe the bug
While running the 1.5.0 release candidate, my collaborator @FBruzzesi on scikit-lego ran our testing suite and [noticed something breaking](https://github.com/FBruzzesi/scikit-lego/actions/runs/8975596456/job/24650556520). Here's the e... | 28,966 | [
0.013902181759476662,
0.05720460042357445,
0.004220428876578808,
-0.012677812948822975,
0.007223752327263355,
0.0015129304956644773,
0.07057303190231323,
0.026346584782004356,
0.0027288724668323994,
0.0011211953824386,
0.04373392090201378,
0.012030712328851223,
-0.001041959272697568,
0.008... |
https://github.com/scikit-learn/scikit-learn/issues/28960 | [
"New Feature"
] | Base function to check if the model is a clusterer (analogous to `base.is_classifier()` and `base.is_regressor()`)?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/28904
<div type='discussions-op-text'>
<sup>Originally posted by **aoot** April 26, 2024</sup>
According to [the note on f... | 28,960 | [
-0.02800382487475872,
-0.0014613610692322254,
0.02543913759291172,
0.01675877347588539,
0.019644059240818024,
0.008897200226783752,
0.062208909541368484,
0.03699275851249695,
0.06500978022813797,
-0.0031746409367769957,
0.08312278240919113,
0.04070024937391281,
-0.015527194365859032,
0.013... |
https://github.com/scikit-learn/scikit-learn/issues/28960 | [
"New Feature"
] | Base function to check if the model is a clusterer (analogous to `base.is_classifier()` and `base.is_regressor()`)?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/28904
<div type='discussions-op-text'>
<sup>Originally posted by **aoot** April 26, 2024</sup>
According to [the note on f... | 28,960 | [
-0.025502383708953857,
0.008901095949113369,
0.020251654088497162,
0.023681819438934326,
0.02692021057009697,
0.007412453182041645,
0.06660919636487961,
0.03564107418060303,
0.08394210785627365,
-0.00784099381417036,
0.08531206101179123,
0.04064013436436653,
-0.01444484293460846,
0.0128881... |
https://github.com/scikit-learn/scikit-learn/issues/28960 | [
"New Feature"
] | Base function to check if the model is a clusterer (analogous to `base.is_classifier()` and `base.is_regressor()`)?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/28904
<div type='discussions-op-text'>
<sup>Originally posted by **aoot** April 26, 2024</sup>
According to [the note on f... | 28,960 | [
-0.024279799312353134,
-0.0026380065828561783,
0.029007326811552048,
0.03221869096159935,
0.03412521630525589,
0.002819554414600134,
0.05147305876016617,
0.030588848516345024,
0.08281151950359344,
-0.008129783906042576,
0.07453527301549911,
0.04336317256093025,
-0.010112077929079533,
0.018... |
https://github.com/scikit-learn/scikit-learn/issues/28960 | [
"New Feature"
] | Base function to check if the model is a clusterer (analogous to `base.is_classifier()` and `base.is_regressor()`)?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/28904
<div type='discussions-op-text'>
<sup>Originally posted by **aoot** April 26, 2024</sup>
According to [the note on f... | 28,960 | [
-0.024909058585762978,
-0.0038773061241954565,
0.030445978045463562,
0.030717525631189346,
0.036437761038541794,
0.007295833434909582,
0.053210578858852386,
0.03317328914999962,
0.09357025474309921,
-0.005821790546178818,
0.07644832134246826,
0.045806556940078735,
-0.018720950931310654,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/28959 | [
"Numerical Stability"
] | Local testing of global_random_seed is not enough
When adding ``global_random_seed`` to a test, it's not enough to check it locally, i.e. on a single machine. Numerical precision issues can come from various factors like OS, CPU, BLAS, ...
When adding ``global_random_seed``, it's important to test **all** random se... | 28,959 | [
-0.030640991404652596,
0.018861111253499985,
-0.020819708704948425,
0.0008432423346675932,
0.0225635077804327,
0.004955739714205265,
0.06861560046672821,
0.008051990531384945,
0.03802475333213806,
0.03937596455216408,
0.05791868641972542,
-0.021988006308674812,
-0.015741098672151566,
0.029... |
https://github.com/scikit-learn/scikit-learn/issues/28959 | [
"Numerical Stability"
] | Local testing of global_random_seed is not enough
When adding ``global_random_seed`` to a test, it's not enough to check it locally, i.e. on a single machine. Numerical precision issues can come from various factors like OS, CPU, BLAS, ...
When adding ``global_random_seed``, it's important to test **all** random se... | 28,959 | [
-0.028521202504634857,
0.01068254467099905,
-0.012629833072423935,
-0.009770467877388,
0.030230648815631866,
-0.0027272733859717846,
0.0346069261431694,
0.02713317796587944,
0.022628942504525185,
0.015811895951628685,
0.06658817827701569,
-0.011984946206212044,
-0.012884283438324928,
0.033... |
https://github.com/scikit-learn/scikit-learn/issues/28959 | [
"Numerical Stability"
] | Local testing of global_random_seed is not enough
When adding ``global_random_seed`` to a test, it's not enough to check it locally, i.e. on a single machine. Numerical precision issues can come from various factors like OS, CPU, BLAS, ...
When adding ``global_random_seed``, it's important to test **all** random se... | 28,959 | [
-0.03419569134712219,
0.0007433209102600813,
-0.007698507513850927,
-0.0007268705521710217,
0.02883254922926426,
-0.01352972723543644,
0.028877273201942444,
0.023348834365606308,
0.031140390783548355,
0.02013787068426609,
0.07065332680940628,
-0.010916572995483875,
-0.017756586894392967,
0... |
https://github.com/scikit-learn/scikit-learn/issues/28959 | [
"Numerical Stability"
] | Local testing of global_random_seed is not enough
When adding ``global_random_seed`` to a test, it's not enough to check it locally, i.e. on a single machine. Numerical precision issues can come from various factors like OS, CPU, BLAS, ...
When adding ``global_random_seed``, it's important to test **all** random se... | 28,959 | [
-0.0213957317173481,
0.007399781607091427,
-0.014898724853992462,
-0.0008749138214625418,
0.017907535657286644,
0.004122027195990086,
0.05888619273900986,
0.026089992374181747,
0.04038548097014427,
0.02793530561029911,
0.0765501856803894,
-0.012027678079903126,
-0.010804344899952412,
0.040... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.