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/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 | [
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0.010650251992046833,
0.04522817209362984,
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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,
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-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,
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-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,
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-0.04805263876914978,
0.018299458548426628,
0.058865804225206375,
0.008781795389950275,
0.02... |
https://github.com/scikit-learn/scikit-learn/issues/29366 | [
"Bug",
"Needs Triage"
] | received ImportError: cannot import name '_deprecate_Xt_in_inverse_transform' from 'sklearn.utils.deprecation'
### Describe the bug
When I'm importing KMeans from sklearn.cluster, I received this import error saying that cannot import name '_deprecate_Xt_in_inverse_transform' from 'sklearn.utils.deprecation'
Curre... | 29,366 | [
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https://github.com/scikit-learn/scikit-learn/issues/29366 | [
"Bug",
"Needs Triage"
] | received ImportError: cannot import name '_deprecate_Xt_in_inverse_transform' from 'sklearn.utils.deprecation'
### Describe the bug
When I'm importing KMeans from sklearn.cluster, I received this import error saying that cannot import name '_deprecate_Xt_in_inverse_transform' from 'sklearn.utils.deprecation'
Curre... | 29,366 | [
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https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
If someone with the required privileges could label this as `Documentation` and assign to me, I'd ap... | 29,365 | [
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https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
Here are some old latex definitions I still had laying around back from when I wrote my thesis,
the... | 29,365 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
@Micky774 thanks for the assignment | 29,365 | [
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https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
Note that you can comment `/take` to assign yourself an issue as well :) | 29,365 | [
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https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
@Charlie-XIAO didn't know that, thank you! Should be useful in the future (: | 29,365 | [
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https://github.com/scikit-learn/scikit-learn/issues/29365 | [
"Documentation"
] | DOC missing User Guide for new unsupervised Clustering Validity metric (DBCV)
If #28244 gets merged, the new `dbcv_score` function will need a user guide. I'm just opening this so we don't lose track of that.
COMMENT:
Thanks for the issue. New features should always be documented in the user guide. Therefore I close. | 29,365 | [
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0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29364 | [
"Documentation"
] | Sponsors page: update with CZI / Wellcome Trust 2024 grant
### Describe the issue linked to the documentation
https://chanzuckerberg.com/eoss/proposals/?cycle=6
### Suggest a potential alternative/fix
_No response_
COMMENT:
/take
I'm on it. I'm preparing different material for different communication channel. | 29,364 | [
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0.030289849266409874,
0.034... |
https://github.com/scikit-learn/scikit-learn/issues/29361 | [
"Bug"
] | TransformedTargetRegressor warns about set_output set to pandas
### Describe the bug
If `set_output` is set to `"pandas"`, `TransformedTargetRegressor` warns unnecessarily.
### Steps/Code to Reproduce
```python
import numpy as np
import pandas as pd
from sklearn import set_config
from sklearn.compose import Tra... | 29,361 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29358 | [
"Documentation"
] | Sprints page
### Describe the issue linked to the documentation
The following sprints are listed:
https://scikit-learn.org/stable/about.html#sprints
But, that is a small subset, given the list here:
https://blog.scikit-learn.org/sprints/
Are the sprints posted on the "About Us" page of a certain criteria, s... | 29,358 | [
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0.0228... |
https://github.com/scikit-learn/scikit-learn/issues/29358 | [
"Documentation"
] | Sprints page
### Describe the issue linked to the documentation
The following sprints are listed:
https://scikit-learn.org/stable/about.html#sprints
But, that is a small subset, given the list here:
https://blog.scikit-learn.org/sprints/
Are the sprints posted on the "About Us" page of a certain criteria, s... | 29,358 | [
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https://github.com/scikit-learn/scikit-learn/issues/29358 | [
"Documentation"
] | Sprints page
### Describe the issue linked to the documentation
The following sprints are listed:
https://scikit-learn.org/stable/about.html#sprints
But, that is a small subset, given the list here:
https://blog.scikit-learn.org/sprints/
Are the sprints posted on the "About Us" page of a certain criteria, s... | 29,358 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29358 | [
"Documentation"
] | Sprints page
### Describe the issue linked to the documentation
The following sprints are listed:
https://scikit-learn.org/stable/about.html#sprints
But, that is a small subset, given the list here:
https://blog.scikit-learn.org/sprints/
Are the sprints posted on the "About Us" page of a certain criteria, s... | 29,358 | [
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https://github.com/scikit-learn/scikit-learn/issues/29358 | [
"Documentation"
] | Sprints page
### Describe the issue linked to the documentation
The following sprints are listed:
https://scikit-learn.org/stable/about.html#sprints
But, that is a small subset, given the list here:
https://blog.scikit-learn.org/sprints/
Are the sprints posted on the "About Us" page of a certain criteria, s... | 29,358 | [
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https://github.com/scikit-learn/scikit-learn/issues/29355 | [
"Bug",
"Easy",
"help wanted",
"module:impute"
] | Shape may mismatch in `IterativeImputer` if set `min_value` with array-like input and some features contain all missing values
### Describe the bug
In all Imputers, features with all missing values will be droped if `keep_empty_features` is set to `False`.
However, in `IterativeImputer`, if we set `min_value` and ... | 29,355 | [
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0.0315534844994545,
0.02688988670706749,
0.025552496314048767,
0.026891... |
https://github.com/scikit-learn/scikit-learn/issues/29355 | [
"Bug",
"Easy",
"help wanted",
"module:impute"
] | Shape may mismatch in `IterativeImputer` if set `min_value` with array-like input and some features contain all missing values
### Describe the bug
In all Imputers, features with all missing values will be droped if `keep_empty_features` is set to `False`.
However, in `IterativeImputer`, if we set `min_value` and ... | 29,355 | [
-0.00860742200165987,
-0.021251756697893143,
0.005202930886298418,
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0.0315534844994545,
0.02688988670706749,
0.025552496314048767,
0.026891... |
https://github.com/scikit-learn/scikit-learn/issues/29353 | [
"Bug"
] | kernel_approximation.Nystroem with precomputed kernel
### Describe the bug
I am trying to get a Nystroem approximation of a pre computed kernel but it throws an error if I use n_components anything less than the number of datapoints. Unless my understanding is wrong, does this not defeat the point of the approximatio... | 29,353 | [
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0.019762109965085983,
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0.046602021902799606,
0.044744543731212616,
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0.03778297081589699,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29353 | [
"Bug"
] | kernel_approximation.Nystroem with precomputed kernel
### Describe the bug
I am trying to get a Nystroem approximation of a pre computed kernel but it throws an error if I use n_components anything less than the number of datapoints. Unless my understanding is wrong, does this not defeat the point of the approximatio... | 29,353 | [
-0.008617465384304523,
-0.02777363359928131,
0.014878274872899055,
0.0030056603718549013,
0.07961004227399826,
-0.04146473482251167,
0.019762109965085983,
0.04368176311254501,
0.006235805805772543,
0.046602021902799606,
0.044744543731212616,
-0.020192107185721397,
0.03778297081589699,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29353 | [
"Bug"
] | kernel_approximation.Nystroem with precomputed kernel
### Describe the bug
I am trying to get a Nystroem approximation of a pre computed kernel but it throws an error if I use n_components anything less than the number of datapoints. Unless my understanding is wrong, does this not defeat the point of the approximatio... | 29,353 | [
-0.008617465384304523,
-0.02777363359928131,
0.014878274872899055,
0.0030056603718549013,
0.07961004227399826,
-0.04146473482251167,
0.019762109965085983,
0.04368176311254501,
0.006235805805772543,
0.046602021902799606,
0.044744543731212616,
-0.020192107185721397,
0.03778297081589699,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29353 | [
"Bug"
] | kernel_approximation.Nystroem with precomputed kernel
### Describe the bug
I am trying to get a Nystroem approximation of a pre computed kernel but it throws an error if I use n_components anything less than the number of datapoints. Unless my understanding is wrong, does this not defeat the point of the approximatio... | 29,353 | [
-0.008617465384304523,
-0.02777363359928131,
0.014878274872899055,
0.0030056603718549013,
0.07961004227399826,
-0.04146473482251167,
0.019762109965085983,
0.04368176311254501,
0.006235805805772543,
0.046602021902799606,
0.044744543731212616,
-0.020192107185721397,
0.03778297081589699,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29347 | [
"Documentation"
] | DOC Broken link: Working with Text Data Tutorial Setup
### Describe the issue linked to the documentation
In the setup section of the [Working With Text Data](https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html) tutorial, it says:
The source of this tutorial can be found within you... | 29,347 | [
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0.018427211791276932,
0.056326091289520264,
0.02466028556227684,
0.0027734243776649237,
-0.01605370081961155,
0.011832966469228268,
0.03158658742904663,
0.044036317616701126,
0.001... |
https://github.com/scikit-learn/scikit-learn/issues/29347 | [
"Documentation"
] | DOC Broken link: Working with Text Data Tutorial Setup
### Describe the issue linked to the documentation
In the setup section of the [Working With Text Data](https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html) tutorial, it says:
The source of this tutorial can be found within you... | 29,347 | [
0.03726675733923912,
0.034823477268218994,
-0.01053831446915865,
0.01628194935619831,
-0.004452595487236977,
0.027209553867578506,
0.06328833103179932,
0.022505812346935272,
-0.013315089046955109,
-0.01378899160772562,
0.00975758582353592,
0.03557977080345154,
0.04382302984595299,
-0.01683... |
https://github.com/scikit-learn/scikit-learn/issues/29347 | [
"Documentation"
] | DOC Broken link: Working with Text Data Tutorial Setup
### Describe the issue linked to the documentation
In the setup section of the [Working With Text Data](https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html) tutorial, it says:
The source of this tutorial can be found within you... | 29,347 | [
0.034637052565813065,
0.038693688809871674,
-0.009873657487332821,
0.020194917917251587,
-0.00480102002620697,
0.029515376314520836,
0.06734190881252289,
0.019554564729332924,
-0.017353210598230362,
-0.01462645921856165,
0.0046324520371854305,
0.03497609868645668,
0.04323441907763481,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29346 | [
"Build / CI",
"RFC"
] | RFC Remove setuptools-based build in scikit-learn 1.6
### Proposal
I would be in favour of removing setuptools i.e. all `setup.py` files in 1.6. Meson is our main building tool for some time, teething issues have been found and fixed, and no major blocker issues have been found. We discussed this at the monthly de... | 29,346 | [
0.009772686287760735,
0.07451466470956802,
0.0014992504147812724,
-0.05797196179628372,
0.013542949222028255,
0.00583907775580883,
0.0606212355196476,
-0.011978373862802982,
0.0005844107363373041,
-0.02385752648115158,
0.042010024189949036,
0.05193112790584564,
-0.03392611816525459,
0.0685... |
https://github.com/scikit-learn/scikit-learn/issues/29346 | [
"Build / CI",
"RFC"
] | RFC Remove setuptools-based build in scikit-learn 1.6
### Proposal
I would be in favour of removing setuptools i.e. all `setup.py` files in 1.6. Meson is our main building tool for some time, teething issues have been found and fixed, and no major blocker issues have been found. We discussed this at the monthly de... | 29,346 | [
0.009772686287760735,
0.07451466470956802,
0.0014992504147812724,
-0.05797196179628372,
0.013542949222028255,
0.00583907775580883,
0.0606212355196476,
-0.011978373862802982,
0.0005844107363373041,
-0.02385752648115158,
0.042010024189949036,
0.05193112790584564,
-0.03392611816525459,
0.0685... |
https://github.com/scikit-learn/scikit-learn/issues/29346 | [
"Build / CI",
"RFC"
] | RFC Remove setuptools-based build in scikit-learn 1.6
### Proposal
I would be in favour of removing setuptools i.e. all `setup.py` files in 1.6. Meson is our main building tool for some time, teething issues have been found and fixed, and no major blocker issues have been found. We discussed this at the monthly de... | 29,346 | [
0.009772686287760735,
0.07451466470956802,
0.0014992504147812724,
-0.05797196179628372,
0.013542949222028255,
0.00583907775580883,
0.0606212355196476,
-0.011978373862802982,
0.0005844107363373041,
-0.02385752648115158,
0.042010024189949036,
0.05193112790584564,
-0.03392611816525459,
0.0685... |
https://github.com/scikit-learn/scikit-learn/issues/29346 | [
"Build / CI",
"RFC"
] | RFC Remove setuptools-based build in scikit-learn 1.6
### Proposal
I would be in favour of removing setuptools i.e. all `setup.py` files in 1.6. Meson is our main building tool for some time, teething issues have been found and fixed, and no major blocker issues have been found. We discussed this at the monthly de... | 29,346 | [
0.009772686287760735,
0.07451466470956802,
0.0014992504147812724,
-0.05797196179628372,
0.013542949222028255,
0.00583907775580883,
0.0606212355196476,
-0.011978373862802982,
0.0005844107363373041,
-0.02385752648115158,
0.042010024189949036,
0.05193112790584564,
-0.03392611816525459,
0.0685... |
https://github.com/scikit-learn/scikit-learn/issues/29346 | [
"Build / CI",
"RFC"
] | RFC Remove setuptools-based build in scikit-learn 1.6
### Proposal
I would be in favour of removing setuptools i.e. all `setup.py` files in 1.6. Meson is our main building tool for some time, teething issues have been found and fixed, and no major blocker issues have been found. We discussed this at the monthly de... | 29,346 | [
0.009772686287760735,
0.07451466470956802,
0.0014992504147812724,
-0.05797196179628372,
0.013542949222028255,
0.00583907775580883,
0.0606212355196476,
-0.011978373862802982,
0.0005844107363373041,
-0.02385752648115158,
0.042010024189949036,
0.05193112790584564,
-0.03392611816525459,
0.0685... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.023442696779966354,
-0.016051026061177254,
0.01259249821305275,
-0.02059454657137394,
0.021044190973043442,
-0.01119981985539198,
0.024628065526485443,
-0.015690157189965248,
-0.04521213099360466,
-0.01477273739874363,
0.09002604335546494,
0.0148507971316576,
0.05383852869272232,
-0.0248... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.012984289787709713,
-0.008381404913961887,
0.014017817564308643,
-0.021682634949684143,
0.0194112379103899,
-0.016978180035948753,
0.0016114911995828152,
-0.014255409128963947,
-0.051436927169561386,
-0.013014581985771656,
0.09924229234457016,
0.015110879205167294,
0.04748759791254997,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.018325040116906166,
0.0008022334659472108,
0.0005217761499807239,
-0.02159980498254299,
0.034249838441610336,
-0.0069274320267140865,
0.022636733949184418,
-0.0010436322772875428,
-0.04225173965096474,
-0.015613864175975323,
0.08705079555511475,
0.01927943155169487,
0.039841506630182266,
... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.01999702863395214,
-0.004164648707956076,
0.004143585450947285,
-0.019644612446427345,
0.03361833468079567,
-0.008026929572224617,
0.026684308424592018,
-0.0030613369308412075,
-0.04112733528017998,
-0.011254007928073406,
0.08628284186124802,
0.017714954912662506,
0.04408822953701019,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.020864563062787056,
0.006816480308771133,
-0.0008176037226803601,
-0.03171965107321739,
0.032020751386880875,
-0.008552994579076767,
0.025612356141209602,
-0.0005219259182922542,
-0.03977322578430176,
-0.008145434781908989,
0.09056372940540314,
0.020775776356458664,
0.036481376737356186,
... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.021442806348204613,
-0.007910785265266895,
0.005541143007576466,
-0.018642529845237732,
0.030705370008945465,
-0.009651919826865196,
0.02946048229932785,
-0.0018079421715810895,
-0.04266071692109108,
-0.01013963483273983,
0.08623907715082169,
0.01770123653113842,
0.04352633282542229,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.01880462095141411,
-0.006968636065721512,
0.00643335934728384,
-0.020342105999588966,
0.030598822981119156,
-0.008367081172764301,
0.028632039204239845,
-0.003700464265421033,
-0.0399133525788784,
-0.010631650686264038,
0.08696182817220688,
0.017513765022158623,
0.04303990676999092,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29340 | [
"Documentation",
"good first issue"
] | Support Vector Machines - Multi-class classification --> wrong default approach
### Describe the issue linked to the documentation
Documentation on main page for Support Vector Machines (https://scikit-learn.org/stable/modules/svm.html) seems to be outdated. Under 1.4.1.1 it says: _**SVC and NuSVC implement the “one-... | 29,340 | [
0.020963113754987717,
-0.011255385354161263,
0.007229111157357693,
-0.01815902255475521,
0.027514418587088585,
-0.005873370915651321,
0.030554378405213356,
-0.007513845805078745,
-0.041822921484708786,
-0.012269814498722553,
0.08498864620923996,
0.015964729711413383,
0.047641415148973465,
... |
https://github.com/scikit-learn/scikit-learn/issues/29338 | [
"Bug",
"Needs Triage"
] | Unable to pass categorical feature columns into DecisionTreeClassifier
### Describe the bug
Heyy devs of scikit-learn,
While working with the famous penguins dataset to predict the species of a penguin based on a number of features, I was getting the error:
`ValueError: could not convert string to float: 'Torge... | 29,338 | [
0.028903203085064888,
0.008137541823089123,
0.004666049033403397,
-0.03573553264141083,
0.0895678699016571,
0.04833180084824562,
-0.006053071469068527,
0.03449849411845207,
-0.03024568408727646,
-0.07577601820230484,
0.013288971967995167,
0.0038032603915780783,
0.06347464770078659,
0.03023... |
https://github.com/scikit-learn/scikit-learn/issues/29338 | [
"Bug",
"Needs Triage"
] | Unable to pass categorical feature columns into DecisionTreeClassifier
### Describe the bug
Heyy devs of scikit-learn,
While working with the famous penguins dataset to predict the species of a penguin based on a number of features, I was getting the error:
`ValueError: could not convert string to float: 'Torge... | 29,338 | [
0.028903203085064888,
0.008137541823089123,
0.004666049033403397,
-0.03573553264141083,
0.0895678699016571,
0.04833180084824562,
-0.006053071469068527,
0.03449849411845207,
-0.03024568408727646,
-0.07577601820230484,
0.013288971967995167,
0.0038032603915780783,
0.06347464770078659,
0.03023... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.07162165641784668,
-0.03306518495082855,
-0.0036953268572688103,
0.010291216894984245,
0.039195239543914795,
0.03313204273581505,
0.027751334011554718,
0.03654346242547035,
-0.008661678992211819,
-0.032144397497177124,
0.01338652241975069,
-0.026710640639066696,
0.014844322577118874,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.07359959185123444,
-0.02182755619287491,
-0.0009563155472278595,
0.015104549936950207,
0.05136564373970032,
0.038619838654994965,
0.03752187266945839,
0.033117640763521194,
-0.028198791667819023,
-0.04711826518177986,
0.009263996966183186,
-0.024249110370874405,
0.02675485610961914,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06216311827301979,
-0.020906463265419006,
-0.005780727602541447,
0.016118038445711136,
0.03993627056479454,
0.02995593659579754,
0.02092444896697998,
0.04094671085476875,
-0.017808258533477783,
-0.039409101009368896,
0.01312915701419115,
-0.03135481849312782,
0.013203936628997326,
-0.041... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06216289848089218,
-0.014930052682757378,
-0.005313941277563572,
0.010420835576951504,
0.04543503373861313,
0.01553908921778202,
0.024857457727193832,
0.045100003480911255,
-0.01903018169105053,
-0.04404573142528534,
0.010784092359244823,
-0.027827361598610878,
0.013239947147667408,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06244121864438057,
-0.017779752612113953,
-0.005298278760164976,
0.011075599119067192,
0.04290447756648064,
0.027975743636488914,
0.015582747757434845,
0.04313322901725769,
-0.016344163566827774,
-0.040503766387701035,
0.015491541475057602,
-0.03027353063225746,
0.013495266437530518,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06133846566081047,
-0.026536080986261368,
-0.008450252935290337,
0.005947512574493885,
0.0452401302754879,
0.02392992191016674,
0.02014351636171341,
0.04587039723992348,
-0.02526550553739071,
-0.04229211434721947,
0.0067342352122068405,
-0.02382817491889,
0.015465937554836273,
-0.0626012... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06798286736011505,
-0.02452409267425537,
-0.004739586263895035,
0.018001772463321686,
0.04238753020763397,
0.03097650036215782,
0.01811853237450123,
0.04178212955594063,
-0.014405891299247742,
-0.040383994579315186,
0.014650145545601845,
-0.03205166757106781,
0.013199791312217712,
-0.044... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.0600133091211319,
-0.02263556979596615,
-0.009192608296871185,
0.008614673279225826,
0.04245652258396149,
0.028922559693455696,
0.022405128926038742,
0.04187316820025444,
-0.017763596028089523,
-0.03629717603325844,
0.016393490135669708,
-0.03234865516424179,
0.01404893584549427,
-0.0459... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06927875429391861,
-0.014915200881659985,
-0.00243173073977232,
0.017695674672722816,
0.041767850518226624,
0.026413675397634506,
0.014179028570652008,
0.049195945262908936,
-0.01384385209530592,
-0.043732982128858566,
0.010042494162917137,
-0.021737538278102875,
0.015369164757430553,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06625154614448547,
-0.019372938200831413,
-0.005690292455255985,
0.01957830786705017,
0.03732459247112274,
0.0416998453438282,
0.02250899001955986,
0.03326199948787689,
-0.02582380175590515,
-0.041666995733976364,
0.011020451784133911,
-0.028379708528518677,
0.020009618252515793,
-0.0460... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06848631799221039,
-0.019651995971798897,
-0.000855915539432317,
0.01430666446685791,
0.04162002354860306,
0.03695445507764816,
0.026918604969978333,
0.037976957857608795,
-0.01073364820331335,
-0.03776819631457329,
0.010929381474852562,
-0.023889316245913506,
0.017749890685081482,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.05590913072228432,
0.007457205094397068,
-0.015395961701869965,
0.020640302449464798,
0.044158320873975754,
0.022909069433808327,
0.030903823673725128,
0.037100836634635925,
-0.029809514060616493,
-0.03335042670369148,
0.010118307545781136,
-0.022833198308944702,
0.00429871678352356,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.06914965063333511,
-0.010960930958390236,
-0.005909387953579426,
0.006159045267850161,
0.04475722089409828,
0.03471066802740097,
0.020112834870815277,
0.03142620250582695,
-0.006668904330581427,
-0.04275856539607048,
-0.002656546188518405,
-0.024108977988362312,
0.0010915150633081794,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.0661938264966011,
-0.005636627320200205,
-0.005952771287411451,
0.01086211297661066,
0.039963800460100174,
0.03756025806069374,
0.01967763341963291,
0.024262914434075356,
-0.0026892125606536865,
-0.04401026666164398,
-0.004160070791840553,
-0.02305573597550392,
0.0032898681238293648,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29337 | [
"Needs Triage"
] | BUG: Stable docs intersphinx has a duplicate std:term:y
When building with intersphinx we get a warning which you can replicate with `intersphinx` directly
```
$ python -m sphinx.ext.intersphinx https://scikit-learn.org/stable/objects.inv | grep " y "
WARNING:sphinx.sphinx.util.inventory:inventory <> contains mu... | 29,337 | [
0.07127559185028076,
-0.014535459689795971,
0.008982772007584572,
0.027116427198052406,
0.04830236732959747,
0.03625442087650299,
0.027815382927656174,
0.044422030448913574,
-0.011190208606421947,
-0.03486587479710579,
0.008229250088334084,
-0.015949679538607597,
0.013776707462966442,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.05705571547150612,
-0.027576245367527008,
0.025571469217538834,
-0.046255964785814285,
-0.006382560823112726,
-0.0018047293415293097,
0.07292003184556961,
0.015980038791894913,
0.00032541778637096286,
-0.0559442900121212,
0.04022562503814697,
0.042199671268463135,
0.01948224939405918,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.05590606480836868,
-0.03610667958855629,
0.00764176482334733,
-0.04848168417811394,
0.012975870631635189,
0.012982477433979511,
0.052230797708034515,
0.031460657715797424,
0.010816850699484348,
-0.06265366077423096,
0.051580760627985,
0.055092304944992065,
0.031632840633392334,
-0.019095... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.037176795303821564,
-0.001172166201286018,
0.010027904063463211,
-0.059370893985033035,
-0.022292792797088623,
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0.04586101323366165,
0.02518637478351593,
-0.020996151491999626,
-0.06070895120501518,
0.051321376115083694,
0.029435984790325165,
0.030963042750954628,
-... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.03672737628221512,
-0.02293325401842594,
0.010149220936000347,
-0.04124992713332176,
-0.01900394819676876,
-0.006128341890871525,
0.04362153261899948,
0.020661775022745132,
-0.03059404157102108,
-0.06508224457502365,
0.027567941695451736,
0.034081682562828064,
0.033010564744472504,
-0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.05234330892562866,
-0.04270034655928612,
0.024609724059700966,
-0.04253793880343437,
0.0027344594709575176,
0.012768157757818699,
0.05931135639548302,
0.009909969754517078,
0.009213211014866829,
-0.06534623354673386,
0.03074369579553604,
0.06412016600370407,
0.03584587574005127,
0.003155... |
https://github.com/scikit-learn/scikit-learn/issues/29332 | [
"Easy",
"Documentation",
"help wanted"
] | Discussion: citation file
### Describe the issue linked to the documentation
Any thoughts to adding a citation.cff file to this repo?
Here is an example from Seaborn:
https://github.com/mwaskom/seaborn/blob/master/CITATION.cff
This example was shared in NASA Open Science training.
### GitHub
https://cit... | 29,332 | [
0.06006763502955437,
-0.01614448055624962,
-0.002624424174427986,
-0.04696326702833176,
-0.02022075094282627,
0.011681893840432167,
0.051569100469350815,
0.00795044656842947,
-0.027057142928242683,
-0.04910797253251076,
0.05896694213151932,
0.04760785773396492,
0.025964580476284027,
0.0119... |
https://github.com/scikit-learn/scikit-learn/issues/29326 | [
"Needs Triage"
] | ⚠️ CI failed on Wheel builder (last failure: Jun 21, 2024) ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/9607956232)** (Jun 21, 2024)
COMMENT:
"Carton plein" as we say in French :wink:
![image](https://github.com/scikit-learn/scikit-learn/assets/1680079/b446e90c-f312-4bd... | 29,326 | [
-0.02584274299442768,
0.03331732004880905,
-0.02449621818959713,
0.00954616628587246,
0.0022685895673930645,
0.02982737310230732,
0.008564849384129047,
0.04305547475814819,
-0.047784049063920975,
-0.002627256792038679,
0.09018766134977341,
0.05592051520943642,
-0.029553087428212166,
0.0634... |
https://github.com/scikit-learn/scikit-learn/issues/29325 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Jun 21, 2024) ⚠️
**CI failed on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=67841&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jun 21, 2024)
- test_check_inplace_ensure_writeabl... | 29,325 | [
0.022812018170952797,
0.021450720727443695,
-0.03381795808672905,
-0.050750039517879486,
0.03351394459605217,
0.011401860043406487,
0.004995602648705244,
0.045723963528871536,
0.004614014178514481,
-0.007083224132657051,
0.047446899116039276,
0.025571327656507492,
0.0011028314474970102,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29320 | [
"New Feature"
] | Suggest alternative implementation of transform interface in LatentDirichletAllocation.
### Describe the workflow you want to enable
The current transform method in LatentDirichletAllocation normalizes the $\gamma$ parameter from the paper. However, this normalization is not supported by the [original LDA paper](http... | 29,320 | [
0.011911843903362751,
0.03536500036716461,
-0.014274709858000278,
-0.010327428579330444,
-0.011399694718420506,
-0.01737918332219124,
-0.04460630193352699,
-0.019136108458042145,
-0.13926681876182556,
-0.0045226258225739,
-0.0022355106193572283,
0.022115174680948257,
-0.023049456998705864,
... |
https://github.com/scikit-learn/scikit-learn/issues/29320 | [
"New Feature"
] | Suggest alternative implementation of transform interface in LatentDirichletAllocation.
### Describe the workflow you want to enable
The current transform method in LatentDirichletAllocation normalizes the $\gamma$ parameter from the paper. However, this normalization is not supported by the [original LDA paper](http... | 29,320 | [
0.011911843903362751,
0.03536500036716461,
-0.014274709858000278,
-0.010327428579330444,
-0.011399694718420506,
-0.01737918332219124,
-0.04460630193352699,
-0.019136108458042145,
-0.13926681876182556,
-0.0045226258225739,
-0.0022355106193572283,
0.022115174680948257,
-0.023049456998705864,
... |
https://github.com/scikit-learn/scikit-learn/issues/29320 | [
"New Feature"
] | Suggest alternative implementation of transform interface in LatentDirichletAllocation.
### Describe the workflow you want to enable
The current transform method in LatentDirichletAllocation normalizes the $\gamma$ parameter from the paper. However, this normalization is not supported by the [original LDA paper](http... | 29,320 | [
0.011911843903362751,
0.03536500036716461,
-0.014274709858000278,
-0.010327428579330444,
-0.011399694718420506,
-0.01737918332219124,
-0.04460630193352699,
-0.019136108458042145,
-0.13926681876182556,
-0.0045226258225739,
-0.0022355106193572283,
0.022115174680948257,
-0.023049456998705864,
... |
https://github.com/scikit-learn/scikit-learn/issues/29317 | [
"Performance"
] | improve performance of cdist/pdist pairwise_distance for boolean matrices
### Describe the workflow you want to enable
If we have a boolean matrix, we can pack bits, use XOR and then `np.bitwise_count` (in numpy 2.0) to compute distances much faster than current `cdist` or `pdist` or `pairwise_distance`. It would be ... | 29,317 | [
-0.06379643082618713,
0.03671068698167801,
-0.002079367870464921,
0.023133160546422005,
-0.011295259930193424,
0.01600199192762375,
0.026947220787405968,
0.023502999916672707,
-0.021760063245892525,
-0.03655792772769928,
0.004506862256675959,
0.019545383751392365,
-0.016956934705376625,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29317 | [
"Performance"
] | improve performance of cdist/pdist pairwise_distance for boolean matrices
### Describe the workflow you want to enable
If we have a boolean matrix, we can pack bits, use XOR and then `np.bitwise_count` (in numpy 2.0) to compute distances much faster than current `cdist` or `pdist` or `pairwise_distance`. It would be ... | 29,317 | [
-0.06379643082618713,
0.03671068698167801,
-0.002079367870464921,
0.023133160546422005,
-0.011295259930193424,
0.01600199192762375,
0.026947220787405968,
0.023502999916672707,
-0.021760063245892525,
-0.03655792772769928,
0.004506862256675959,
0.019545383751392365,
-0.016956934705376625,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29317 | [
"Performance"
] | improve performance of cdist/pdist pairwise_distance for boolean matrices
### Describe the workflow you want to enable
If we have a boolean matrix, we can pack bits, use XOR and then `np.bitwise_count` (in numpy 2.0) to compute distances much faster than current `cdist` or `pdist` or `pairwise_distance`. It would be ... | 29,317 | [
-0.06379643082618713,
0.03671068698167801,
-0.002079367870464921,
0.023133160546422005,
-0.011295259930193424,
0.01600199192762375,
0.026947220787405968,
0.023502999916672707,
-0.021760063245892525,
-0.03655792772769928,
0.004506862256675959,
0.019545383751392365,
-0.016956934705376625,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29317 | [
"Performance"
] | improve performance of cdist/pdist pairwise_distance for boolean matrices
### Describe the workflow you want to enable
If we have a boolean matrix, we can pack bits, use XOR and then `np.bitwise_count` (in numpy 2.0) to compute distances much faster than current `cdist` or `pdist` or `pairwise_distance`. It would be ... | 29,317 | [
-0.06379643082618713,
0.03671068698167801,
-0.002079367870464921,
0.023133160546422005,
-0.011295259930193424,
0.01600199192762375,
0.026947220787405968,
0.023502999916672707,
-0.021760063245892525,
-0.03655792772769928,
0.004506862256675959,
0.019545383751392365,
-0.016956934705376625,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.002304644789546728,
0.06784295290708542,
0.04104413464665413,
-0.04146600514650345,
-0.05218879505991936,
-0.026539061218500137,
0.045407190918922424,
0.003453518496826291,
-0.06027170270681381,
-0.03195139020681381,
0.053223349153995514,
-0.013285663910210133,
-0.018877476453781128,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
0.0007170398021116853,
0.07239948958158493,
0.03940686956048012,
-0.03884882852435112,
-0.05471429228782654,
-0.027942532673478127,
0.042229533195495605,
0.005966825410723686,
-0.06505656987428665,
-0.0317513607442379,
0.04835796356201172,
-0.008950289338827133,
-0.022664817050099373,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.002478600014001131,
0.07188653200864792,
0.03844217583537102,
-0.04042232409119606,
-0.057550184428691864,
-0.030078597366809845,
0.043917667120695114,
0.007012815680354834,
-0.06048065051436424,
-0.03431262448430061,
0.05127439647912979,
-0.013823363929986954,
-0.020524628460407257,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.0037951248232275248,
0.07644253224134445,
0.03942014276981354,
-0.03834247216582298,
-0.05367277190089226,
-0.025205744430422783,
0.04208759590983391,
0.004279787186533213,
-0.05909961834549904,
-0.03013281151652336,
0.04992713779211044,
-0.0105206947773695,
-0.02055688574910164,
0.0139... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.0013481555506587029,
0.07271815091371536,
0.03771986812353134,
-0.03779154643416405,
-0.05181954801082611,
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0.04002736508846283,
0.00042281849891878664,
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-0.029849551618099213,
0.051177460700273514,
-0.013777928426861763,
-0.026373378932476044,
... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.00042337269405834377,
0.07034285366535187,
0.04371410980820656,
-0.041005607694387436,
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0.04213828593492508,
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0.05457881838083267,
-0.014478516764938831,
-0.02399754337966442,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29315 | [
"API",
"Needs Decision",
"RFC"
] | Using `rng=` keyword argument for NumPy randomness
In SPEC7 https://github.com/scientific-python/specs/pull/180, has two goals:
1. Deprecate the use of `RandomState` and `np.random.seed`
2. Standardize the usage of `rng` for setting seeding.
For 1, according to [NEP19](https://numpy.org/neps/nep-0019-rng-polic... | 29,315 | [
-0.0011325677623972297,
0.06769713014364243,
0.04157678410410881,
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-0.05316256359219551,
-0.027464449405670166,
0.043905120342969894,
0.004209477920085192,
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0.050320737063884735,
-0.014558330178260803,
-0.01595817133784294,
0... |
https://github.com/scikit-learn/scikit-learn/issues/29309 | [
"Needs Triage"
] | Why use the similarity matrix to determine the clusters instead of the A+R matrix?
Hi @GaelVaroquaux
Thanks for the great effort of putting together this implementation and maintaining it.
In the Affinity Propagation paper by Frey and Dueck, the `E=A+R` matrix is the one used to determine the cluster to which... | 29,309 | [
-0.008240575902163982,
-0.08805818855762482,
-0.010381973348557949,
0.009668109938502312,
-0.008014155551791191,
0.017969978973269463,
0.028293602168560028,
-0.006661782041192055,
0.012663913890719414,
0.04668530076742172,
0.004958692006766796,
0.02271229773759842,
0.05155766382813454,
-0.... |
https://github.com/scikit-learn/scikit-learn/issues/29309 | [
"Needs Triage"
] | Why use the similarity matrix to determine the clusters instead of the A+R matrix?
Hi @GaelVaroquaux
Thanks for the great effort of putting together this implementation and maintaining it.
In the Affinity Propagation paper by Frey and Dueck, the `E=A+R` matrix is the one used to determine the cluster to which... | 29,309 | [
-0.006397721357643604,
-0.09084098786115646,
-0.009299608878791332,
0.009541278705000877,
0.0001495938777225092,
0.0065260836854577065,
0.027135726064443588,
-0.01679515466094017,
0.0211540125310421,
0.04735998436808586,
0.0014637233689427376,
0.027492240071296692,
0.051202192902565,
-0.04... |
https://github.com/scikit-learn/scikit-learn/issues/29309 | [
"Needs Triage"
] | Why use the similarity matrix to determine the clusters instead of the A+R matrix?
Hi @GaelVaroquaux
Thanks for the great effort of putting together this implementation and maintaining it.
In the Affinity Propagation paper by Frey and Dueck, the `E=A+R` matrix is the one used to determine the cluster to which... | 29,309 | [
-0.011028409935534,
-0.08813843131065369,
-0.009072169661521912,
0.010303388349711895,
-0.0024783038534224033,
0.012474528513848782,
0.02383415587246418,
-0.012014773674309254,
0.019025178626179695,
0.04555998370051384,
0.0025764096062630415,
0.023183170706033707,
0.04982968419790268,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/29303 | [
"New Feature",
"Needs Triage"
] | Proposal to Add tau_metric as a New Classification Performance Measure
### Describe the workflow you want to enable
The goal is to introduce a new metric, the tau_metric, which evaluates classification accuracy through a geometric approach. This metric considers the distances from a model's predictions to a perfect... | 29,303 | [
-0.05696626007556915,
0.07109887897968292,
0.002989846747368574,
-0.0031692844349890947,
-0.031209221109747887,
-0.012740694917738438,
0.006756913382560015,
0.025053245946764946,
0.004381565377116203,
-0.0356832854449749,
0.005576586816459894,
-0.009561565704643726,
-0.003989272750914097,
... |
https://github.com/scikit-learn/scikit-learn/issues/29303 | [
"New Feature",
"Needs Triage"
] | Proposal to Add tau_metric as a New Classification Performance Measure
### Describe the workflow you want to enable
The goal is to introduce a new metric, the tau_metric, which evaluates classification accuracy through a geometric approach. This metric considers the distances from a model's predictions to a perfect... | 29,303 | [
-0.05696626007556915,
0.07109887897968292,
0.002989846747368574,
-0.0031692844349890947,
-0.031209221109747887,
-0.012740694917738438,
0.006756913382560015,
0.025053245946764946,
0.004381565377116203,
-0.0356832854449749,
0.005576586816459894,
-0.009561565704643726,
-0.003989272750914097,
... |
https://github.com/scikit-learn/scikit-learn/issues/29303 | [
"New Feature",
"Needs Triage"
] | Proposal to Add tau_metric as a New Classification Performance Measure
### Describe the workflow you want to enable
The goal is to introduce a new metric, the tau_metric, which evaluates classification accuracy through a geometric approach. This metric considers the distances from a model's predictions to a perfect... | 29,303 | [
-0.05696626007556915,
0.07109887897968292,
0.002989846747368574,
-0.0031692844349890947,
-0.031209221109747887,
-0.012740694917738438,
0.006756913382560015,
0.025053245946764946,
0.004381565377116203,
-0.0356832854449749,
0.005576586816459894,
-0.009561565704643726,
-0.003989272750914097,
... |
https://github.com/scikit-learn/scikit-learn/issues/29303 | [
"New Feature",
"Needs Triage"
] | Proposal to Add tau_metric as a New Classification Performance Measure
### Describe the workflow you want to enable
The goal is to introduce a new metric, the tau_metric, which evaluates classification accuracy through a geometric approach. This metric considers the distances from a model's predictions to a perfect... | 29,303 | [
-0.05696626007556915,
0.07109887897968292,
0.002989846747368574,
-0.0031692844349890947,
-0.031209221109747887,
-0.012740694917738438,
0.006756913382560015,
0.025053245946764946,
0.004381565377116203,
-0.0356832854449749,
0.005576586816459894,
-0.009561565704643726,
-0.003989272750914097,
... |
https://github.com/scikit-learn/scikit-learn/issues/29302 | [
"Build / CI",
"help wanted"
] | Remove uneeded SKLEARN_BUILD_PARALLEL environment variable
This is only actually used if we build with setuptools and most of our CI builds are with Meson, i.e. the only setuptools build has `BUILD_WITH_SETUPTOOLS: 'true'`
Here are the usages of SKLEARN_BUILD_PARALLEL, most should be removed some should be kept (at... | 29,302 | [
-0.01736072264611721,
-0.00690639391541481,
-0.04636562243103981,
-0.05181232839822769,
0.047402895987033844,
0.058273352682590485,
0.07268346846103668,
-0.0148384477943182,
-0.024993324652314186,
0.032376278191804886,
0.024452796205878258,
0.11778675019741058,
-0.019461367279291153,
0.021... |
https://github.com/scikit-learn/scikit-learn/issues/29302 | [
"Build / CI",
"help wanted"
] | Remove uneeded SKLEARN_BUILD_PARALLEL environment variable
This is only actually used if we build with setuptools and most of our CI builds are with Meson, i.e. the only setuptools build has `BUILD_WITH_SETUPTOOLS: 'true'`
Here are the usages of SKLEARN_BUILD_PARALLEL, most should be removed some should be kept (at... | 29,302 | [
-0.02762897126376629,
0.0019213242921978235,
-0.05800442397594452,
-0.053056877106428146,
0.05068493261933327,
0.03839091584086418,
0.060297463089227676,
-0.03938406705856323,
-0.057573940604925156,
0.044910117983818054,
0.020945638418197632,
0.1501445770263672,
-0.018239876255393028,
0.00... |
https://github.com/scikit-learn/scikit-learn/issues/29302 | [
"Build / CI",
"help wanted"
] | Remove uneeded SKLEARN_BUILD_PARALLEL environment variable
This is only actually used if we build with setuptools and most of our CI builds are with Meson, i.e. the only setuptools build has `BUILD_WITH_SETUPTOOLS: 'true'`
Here are the usages of SKLEARN_BUILD_PARALLEL, most should be removed some should be kept (at... | 29,302 | [
-0.018263036385178566,
-0.007074950262904167,
-0.054746173322200775,
-0.04945244640111923,
0.05335839092731476,
0.05270236358046532,
0.060280583798885345,
-0.013456206768751144,
-0.04187099635601044,
0.022502299398183823,
0.01917175017297268,
0.1248379722237587,
-0.013122055679559708,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/29302 | [
"Build / CI",
"help wanted"
] | Remove uneeded SKLEARN_BUILD_PARALLEL environment variable
This is only actually used if we build with setuptools and most of our CI builds are with Meson, i.e. the only setuptools build has `BUILD_WITH_SETUPTOOLS: 'true'`
Here are the usages of SKLEARN_BUILD_PARALLEL, most should be removed some should be kept (at... | 29,302 | [
-0.019475271925330162,
-0.010926967486739159,
-0.054419972002506256,
-0.047953907400369644,
0.05393368750810623,
0.052860863506793976,
0.06393864750862122,
-0.016729947179555893,
-0.04156690090894699,
0.021091440692543983,
0.02308611199259758,
0.12251665443181992,
-0.013099981471896172,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/29302 | [
"Build / CI",
"help wanted"
] | Remove uneeded SKLEARN_BUILD_PARALLEL environment variable
This is only actually used if we build with setuptools and most of our CI builds are with Meson, i.e. the only setuptools build has `BUILD_WITH_SETUPTOOLS: 'true'`
Here are the usages of SKLEARN_BUILD_PARALLEL, most should be removed some should be kept (at... | 29,302 | [
-0.03683259338140488,
0.01297194417566061,
-0.05945034697651863,
-0.03919340670108795,
0.05147404968738556,
0.0523063950240612,
0.07285911589860916,
-0.03924984112381935,
-0.057279348373413086,
0.02179327793419361,
0.020927680656313896,
0.1258581131696701,
-0.02557246945798397,
0.019163172... |
https://github.com/scikit-learn/scikit-learn/issues/29301 | [
"Build / CI"
] | Build wheels against Numpy 2 rather than numpy development version
Now that Numpy 2 has been released, I think we don't need to build against numpy-dev (we are using all dev dependencies so scipy-dev as well), i.e. we can revert https://github.com/scikit-learn/scikit-learn/pull/27735, i.e. I think we can just remove c... | 29,301 | [
-0.01125229150056839,
0.09312792867422104,
-0.014296534471213818,
-0.008771414868533611,
-0.01695881597697735,
0.021451352164149284,
0.03655613213777542,
0.02041294239461422,
-0.0666215568780899,
-0.007027382962405682,
0.06542309373617172,
0.03404780104756355,
-0.03609757870435715,
0.03026... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
https://github.com/scikit-learn/scikit-learn/issues/29294 | [
"Moderate",
"help wanted"
] | ConvergenceWarnings cannot be turned off
Hi, I'm unable to turn off convergence warnings from `GraphicalLassoCV`.
I've tried most of the solutions from, and none of them worked (see below for actual implementations):
https://stackoverflow.com/questions/879173/how-to-ignore-deprecation-warnings-in-python
https://s... | 29,294 | [
-0.043923258781433105,
0.03848806023597717,
0.01802109181880951,
0.020328551530838013,
0.0635845959186554,
0.033462684601545334,
-0.016784382984042168,
0.04044564068317413,
0.062211550772190094,
0.020692752674221992,
0.033692825585603714,
0.03115176595747471,
-0.043047744780778885,
0.01577... |
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