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/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29421 | [
"Bug"
] | Don't print the estimator like a dict (`{...}`) beyond `maxlevels`
### Describe the bug
Estimator pretty printer doesn't render deeply-nested estimators correctly.
### Steps/Code to Reproduce
```pycon
>>> from sklearn.base import BaseEstimator
>>> from sklearn.utils._pprint import _EstimatorPrettyPrinter
>>>
>>... | 29,421 | [
-0.0037161202635616064,
0.019524307921528816,
0.03309021517634392,
0.05063518136739731,
0.06834014505147934,
0.02145214192569256,
0.0310570877045393,
0.034342870116233826,
-0.002696259180083871,
-0.007856554351747036,
0.04410210996866226,
0.04730875790119171,
-0.0049897367134690285,
0.0420... |
https://github.com/scikit-learn/scikit-learn/issues/29420 | [
"New Feature",
"Needs Triage"
] | provide a reconstruct method for `Transformer` classes
### Describe the workflow you want to enable
provide a reconstruct method for `Transformer` classes, for convenience.
### Describe your proposed solution
def reconstruct(self, X):
Y = self.transform(X)
return self.inverse_transform(Y)
###... | 29,420 | [
-0.017711959779262543,
0.10969983041286469,
0.03976106271147728,
-0.02700839564204216,
0.006117317359894514,
0.0011525063309818506,
0.011064521968364716,
0.005060514900833368,
-0.019806163385510445,
0.0014177040429785848,
0.02149173989892006,
0.06696406751871109,
-0.002887788927182555,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
0.008506683632731438,
-0.013884061016142368,
0.051483988761901855,
0.0012919571017846465,
0.029231108725070953,
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-0.002445528982207179,
0.021067043766379356,
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-0.028395380824804306,
0.024600030854344368,
0.022306088358163834,
0.01292688399553299,
... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
-0.013650468550622463,
-0.009294568561017513,
0.03536311909556389,
0.004480134230107069,
0.019172368571162224,
-0.008753959089517593,
-0.012856158427894115,
0.01849348284304142,
-0.05228128284215927,
-0.025147559121251106,
0.029522357508540154,
0.01028133649379015,
0.020550237968564034,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
-0.012245604768395424,
-0.002317148493602872,
0.034595366567373276,
0.005173089448362589,
0.019252674654126167,
-0.00742726307362318,
-0.014056462794542313,
0.01968785561621189,
-0.05478886514902115,
-0.028561105951666832,
0.02844318374991417,
0.011244744062423706,
0.0188321303576231,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
-0.010016754269599915,
-0.009195661172270775,
0.045432981103658676,
0.005362090654671192,
0.02150813117623329,
-0.00594203919172287,
-0.016445161774754524,
0.019151167944073677,
-0.04685372859239578,
-0.024095283821225166,
0.02499699406325817,
0.007869274355471134,
0.019053474068641663,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
-0.0114667983725667,
0.0009972674306482077,
0.035211678594350815,
0.0042289793491363525,
0.020527267828583717,
-0.008695434778928757,
-0.016504213213920593,
0.021547231823205948,
-0.05523264780640602,
-0.02726001851260662,
0.02706574834883213,
0.01187936495989561,
0.01582697033882141,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29417 | [
"Documentation"
] | Documentation section 3.4.1.1 has incorrect description that would be correct if the `max_loss` metric were to be tweaked and renamed
### Describe the issue linked to the documentation
(Very similar to issue #13887 which was reported and fixed 5 years ago, so I have borrowed much of the text.)
In the documentation... | 29,417 | [
-0.004958518780767918,
-0.003709702519699931,
0.038050126284360886,
0.004279658664017916,
0.02343796193599701,
-0.0009504660265520215,
-0.005665325094014406,
0.015215040184557438,
-0.04683646559715271,
-0.02675638347864151,
0.028082849457859993,
0.00832604430615902,
0.020748239010572433,
0... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29416 | [
"Bug",
"Metadata Routing"
] | LogisticRegressionCV does not handle sample weights as expected when using liblinear solver
Note: this is a special case of a the wider problem described in:
- https://github.com/scikit-learn/scikit-learn/issues/15657
### Describe the bug
`_log_reg_scoring_path` used within `LogisticRegressionCV` with `libl... | 29,416 | [
0.026709135621786118,
0.025906000286340714,
0.033353619277477264,
0.007544084917753935,
0.02708357758820057,
-0.028997201472520828,
0.04938767850399017,
0.021817799657583237,
0.011677343398332596,
-0.0014928254531696439,
0.0497746467590332,
0.03775639086961746,
-0.01657520979642868,
0.0053... |
https://github.com/scikit-learn/scikit-learn/issues/29407 | [
"Needs Triage"
] | Test assign workflow
COMMENT:
/take | 29,407 | [
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0.03385879471898079,
0.04961263760924339,
0.009345226921141148,
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0.05229610949754715,
0.02896246500313282,
-0.05087609589099884,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29407 | [
"Needs Triage"
] | Test assign workflow
COMMENT:
Sorry wrong repo | 29,407 | [
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0.0036... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29396 | [
"Bug",
"Array API"
] | Array API tests fail on main
### Describe the bug
I ran the Array API tests on main and got 10 failing tests.
(Last week, with an older main and everything else the same, I had 4 failing tests.)
array_api_compat==1.7.1
I only ran the cpu tests.
### Steps/Code to Reproduce
`pytest sklearn/utils/tests/t... | 29,396 | [
0.006773173809051514,
0.01067394856363535,
-0.029933534562587738,
0.03776685521006584,
0.05990027263760567,
0.0025209321174770594,
0.05941649526357651,
0.06336259841918945,
0.06066666543483734,
0.009601455181837082,
0.042999010533094406,
0.04151440039277077,
-0.021892910823225975,
-0.01741... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.05408177897334099,
0.020094232633709908,
0.01024392619729042,
-0.015093360096216202,
-0.0017022199463099241,
-0.008607573807239532,
0.028701482340693474,
0.009289090521633625,
-0.009714493528008461,
-0.032331086695194244,
0.022949732840061188,
0.05644945427775383,
-0.03518559783697128,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.05408177897334099,
0.020094232633709908,
0.01024392619729042,
-0.015093360096216202,
-0.0017022199463099241,
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0.028701482340693474,
0.009289090521633625,
-0.009714493528008461,
-0.032331086695194244,
0.022949732840061188,
0.05644945427775383,
-0.03518559783697128,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.05408177897334099,
0.020094232633709908,
0.01024392619729042,
-0.015093360096216202,
-0.0017022199463099241,
-0.008607573807239532,
0.028701482340693474,
0.009289090521633625,
-0.009714493528008461,
-0.032331086695194244,
0.022949732840061188,
0.05644945427775383,
-0.03518559783697128,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.06574718654155731,
-0.002452986780554056,
0.009759749285876751,
-0.01694004237651825,
0.00309020490385592,
-0.009123271331191063,
0.027285540476441383,
0.002674596384167671,
-0.007635451853275299,
-0.03574647381901741,
0.009219439700245857,
0.06180787459015846,
-0.03101310133934021,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.0479728989303112,
0.0225687213242054,
0.011684561148285866,
-0.012981305830180645,
0.004244649317115545,
-0.005683720111846924,
0.02594081312417984,
0.006667792331427336,
-0.0040588038973510265,
-0.029538070783019066,
0.020929625257849693,
0.06594212353229523,
-0.03840404748916626,
-0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
0.0673612430691719,
0.015448736026883125,
0.008214673958718777,
-0.012960105203092098,
0.009306355379521847,
-0.003765538800507784,
0.02957175113260746,
0.0026642701122909784,
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-0.022159403190016747,
0.017237013205885887,
0.052581433206796646,
-0.030965907499194145,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
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-... |
https://github.com/scikit-learn/scikit-learn/issues/29395 | [
"Build / CI"
] | Assign (aka `/take` in comment) workflow broken for non maintainers
See https://github.com/scikit-learn/scikit-learn/actions/workflows/assign.yml
Edit: so actually this works as a maintainer but not as a normal user. It is more useful as a normal user ... maybe a permission thing that was changed at one point to be... | 29,395 | [
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https://github.com/scikit-learn/scikit-learn/issues/29394 | [
"Enhancement",
"Build / CI"
] | Single-sourcing the package version?
If `version` is declared as a dynamic attribute in the `pyproject.toml`, meson will use the one specified in `meson.build`. This would avoid having to update the version in both `__init__.py` and `pyproject.toml`:
```diff
diff --git a/pyproject.toml b/pyproject.toml
index ff7d... | 29,394 | [
0.011961136944591999,
0.05742930993437767,
-0.012701902538537979,
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0.06486710906028748,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29394 | [
"Enhancement",
"Build / CI"
] | Single-sourcing the package version?
If `version` is declared as a dynamic attribute in the `pyproject.toml`, meson will use the one specified in `meson.build`. This would avoid having to update the version in both `__init__.py` and `pyproject.toml`:
```diff
diff --git a/pyproject.toml b/pyproject.toml
index ff7d... | 29,394 | [
0.01751883141696453,
0.01141879428178072,
-0.016400860622525215,
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0.01197815127670765,
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0.029921041801571846,
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0.015538793057203293,
0.061916135251522064,
0.07883992046117783,
0.02321266569197178,
0.04327... |
https://github.com/scikit-learn/scikit-learn/issues/29392 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jul 03, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9771534239)** (Jul 03, 2024)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://github.com/scikit-learn/scikit-learn/actions/runs/9771534239) on Jul 03, ... | 29,392 | [
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0.02649998851120472,
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0.07894194... |
https://github.com/scikit-learn/scikit-learn/issues/29390 | [
"Documentation"
] | Broken ref in datasets.rst
There's a reference in `datasets.rst` that no longer points to anything after #29104 was merged:
https://github.com/scikit-learn/scikit-learn/blob/5bbe346de43fd402b9a4af7b6383cd644d7fb7b6/doc/datasets.rst?plain=1#L9-L10
I don't understand why it wasn't caught by the CI in #29104. I saw i... | 29,390 | [
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0.035143520683050156,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29390 | [
"Documentation"
] | Broken ref in datasets.rst
There's a reference in `datasets.rst` that no longer points to anything after #29104 was merged:
https://github.com/scikit-learn/scikit-learn/blob/5bbe346de43fd402b9a4af7b6383cd644d7fb7b6/doc/datasets.rst?plain=1#L9-L10
I don't understand why it wasn't caught by the CI in #29104. I saw i... | 29,390 | [
0.042621076107025146,
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0.027095507830381393,
... |
https://github.com/scikit-learn/scikit-learn/issues/29383 | [
"RFC",
"module:tree"
] | API Change default argument for `proportion` to be `True` in `tree.plot_tree`
### Summary
#27639 changed the default behavior of `tree_.value` to be proportions rather than absolute weighted sample counts. This then caused some discrepancies in how the tree is to be interested and plotted in the examples.
#29331... | 29,383 | [
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0.012191933579742908,
0.010470384731888771,
-0.02362961322069168,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
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0.03379051014780998,
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0.06763727962970734,
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0.05987682193517685,
0.01492211502045393,
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-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29381 | [
"Easy",
"Enhancement"
] | SimpleImputer's fill_value validation seems too strict
### Describe the bug
The `SimpleImputer` checks whether the _type_ of the `fill_value` can be cast with numpy to the dtype of the input data (`X`) using `np.can_cast(fill_value_dtype, X.dtype, casting="same_kind")`: https://github.com/scikit-learn/scikit-learn/bl... | 29,381 | [
-0.028508516028523445,
0.012281631119549274,
0.03379051014780998,
-0.03897092863917351,
0.06763727962970734,
-0.0060590156354010105,
0.05987682193517685,
0.01492211502045393,
-0.017555227503180504,
-0.020034657791256905,
0.03520680591464043,
-0.008605287410318851,
0.04693128541111946,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29378 | [
"Documentation"
] | DOC Improve maintainers page
I've found the [maintainers page](https://scikit-learn.org/stable/developers/maintainer.html) a bit messy and badly structured for a while. It gives a lot of room for mistakes. The recent switch to the new pydata sphinx theme is good opportunity to rework it. I imagine that we could have t... | 29,378 | [
0.04656790941953659,
0.03999838978052139,
-0.025355041027069092,
0.0027865711599588394,
0.028960268944501877,
0.0052821277640759945,
0.004662110470235348,
0.05294215306639671,
0.028680630028247833,
-0.023907126858830452,
0.03542838618159294,
0.02499169111251831,
-0.01175910234451294,
0.033... |
https://github.com/scikit-learn/scikit-learn/issues/29378 | [
"Documentation"
] | DOC Improve maintainers page
I've found the [maintainers page](https://scikit-learn.org/stable/developers/maintainer.html) a bit messy and badly structured for a while. It gives a lot of room for mistakes. The recent switch to the new pydata sphinx theme is good opportunity to rework it. I imagine that we could have t... | 29,378 | [
0.046570297330617905,
0.03695961460471153,
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-0.001609962317161262,
0.032261788845062256,
0.005350491497665644,
0.006436340510845184,
0.055838692933321,
0.02897360734641552,
-0.02260902337729931,
0.03383946418762207,
0.028320569545030594,
-0.009304694831371307,
0.02712... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
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0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29375 | [
"Bug"
] | `IterativeImputer` skip iterative part if `keep_empty_features` is set to `True`
### Describe the bug
The mask is set to all True, so that the iterative imputation will be skipped.
https://github.com/scikit-learn/scikit-learn/blob/a4ebe19a95ffbb3cf6abf3e98d737d0d097f5de3/sklearn/impute/_iterative.py#L649-L651
###... | 29,375 | [
0.012197446078062057,
-0.02121770940721035,
0.023352771997451782,
-0.02350902557373047,
0.026803314685821533,
0.0035895081236958504,
0.0779404491186142,
0.020514992997050285,
0.01800977624952793,
0.008227834478020668,
0.040773771703243256,
-0.0030077702831476927,
0.04313765466213226,
0.011... |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 | [
0.03172279894351959,
-0.0034291441552340984,
0.02829567715525627,
-0.004546316806226969,
0.061150018125772476,
-0.010188307613134384,
0.1050402894616127,
0.01220356673002243,
-0.008281548507511616,
-0.015228142961859703,
0.0488482229411602,
0.02831452526152134,
0.04206646978855133,
0.01808... |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 | [
0.03172279894351959,
-0.0034291441552340984,
0.02829567715525627,
-0.004546316806226969,
0.061150018125772476,
-0.010188307613134384,
0.1050402894616127,
0.01220356673002243,
-0.008281548507511616,
-0.015228142961859703,
0.0488482229411602,
0.02831452526152134,
0.04206646978855133,
0.01808... |
https://github.com/scikit-learn/scikit-learn/issues/29369 | [
"Bug",
"Easy"
] | Erroneous optional status for y parameter in RepeatedStratifiedKFold.split
### Describe the bug
For context, there is a small difference in the `split` function between the variants of the `KFold` class:
In class `sklearn.model_selection.KFold`, the [split function](https://scikit-learn.org/stable/modules/genera... | 29,369 | [
0.03172279894351959,
-0.0034291441552340984,
0.02829567715525627,
-0.004546316806226969,
0.061150018125772476,
-0.010188307613134384,
0.1050402894616127,
0.01220356673002243,
-0.008281548507511616,
-0.015228142961859703,
0.0488482229411602,
0.02831452526152134,
0.04206646978855133,
0.01808... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29367 | [
"Build / CI",
"Low Priority"
] | Build failure under Termux: can not execute sklearn/_build_utils/version.py
### Describe the bug
When attempting to install the newest (and older) versions of scikit-learn-1.6.dev0 using regular pip install, the installation fails due to a missing version.py file. This issue occurs on an Android system using Termux... | 29,367 | [
0.06612811237573624,
-0.02339627966284752,
-0.019227130338549614,
-0.07395339757204056,
0.05917847901582718,
0.010650251992046833,
0.04522817209362984,
-0.019441040232777596,
-0.014623116701841354,
-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
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