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/23918 | [
"Refactor"
] | Refactor metadata routing classes used in tests
The work related to metadata routing has introduced quite a few classes in the test files in order to test different functionalities and different cases.
Once we have advanced more in the implementation, we should refactor those classes, find common patterns, and clea... | 23,918 | [
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https://github.com/scikit-learn/scikit-learn/issues/23918 | [
"Refactor"
] | Refactor metadata routing classes used in tests
The work related to metadata routing has introduced quite a few classes in the test files in order to test different functionalities and different cases.
Once we have advanced more in the implementation, we should refactor those classes, find common patterns, and clea... | 23,918 | [
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https://github.com/scikit-learn/scikit-learn/issues/23918 | [
"Refactor"
] | Refactor metadata routing classes used in tests
The work related to metadata routing has introduced quite a few classes in the test files in order to test different functionalities and different cases.
Once we have advanced more in the implementation, we should refactor those classes, find common patterns, and clea... | 23,918 | [
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https://github.com/scikit-learn/scikit-learn/issues/23904 | [
"module:neighbors"
] | KNeighborsTransformer and RadiusNeighborsTransformer have n_jobs=1 as default (instead of None)
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/23888
<div type='discussions-op-text'>
<sup>Originally posted by **Valentin-Laurent** July 12, 2022</sup>
While working on #22348, I realized ... | 23,904 | [
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https://github.com/scikit-learn/scikit-learn/issues/23904 | [
"module:neighbors"
] | KNeighborsTransformer and RadiusNeighborsTransformer have n_jobs=1 as default (instead of None)
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/23888
<div type='discussions-op-text'>
<sup>Originally posted by **Valentin-Laurent** July 12, 2022</sup>
While working on #22348, I realized ... | 23,904 | [
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https://github.com/scikit-learn/scikit-learn/issues/23903 | [
"New Feature",
"Needs Triage"
] | Add fit_predict to linear_models?
### Describe the workflow you want to enable
AFAICT, the regressor classes in `sklearn.linear_models` do not implement a fit_predict method (which is present in many other estimator classes). Having it would be a nice convenience.
### Describe your proposed solution
Add something ... | 23,903 | [
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https://github.com/scikit-learn/scikit-learn/issues/23899 | [
"Bug",
"Needs Triage"
] | AUC differences between cross_validate and cross_val_predict
### Describe the bug
I am working through a binary classification problem and I need to generate an ROC curve. When comparing the performances of the function cross_validate (which returns performance metrics), with cross_val_predict (which can return pro... | 23,899 | [
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https://github.com/scikit-learn/scikit-learn/issues/23899 | [
"Bug",
"Needs Triage"
] | AUC differences between cross_validate and cross_val_predict
### Describe the bug
I am working through a binary classification problem and I need to generate an ROC curve. When comparing the performances of the function cross_validate (which returns performance metrics), with cross_val_predict (which can return pro... | 23,899 | [
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https://github.com/scikit-learn/scikit-learn/issues/23898 | [
"Needs Triage"
] | Figure out when to initialize the histogram class
In the histogrammed gradient boosting, the histogram class is initialized at the forest level but our MAB solution requires we have a histogram per node. Look into this
COMMENT:
It does not seem to be linked if any bug in scikit-learn | 23,898 | [
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https://github.com/scikit-learn/scikit-learn/issues/23897 | [
"Bug",
"module:cluster"
] | Issue with affinity propagation and dtype np.float32
While working on https://github.com/scikit-learn/scikit-learn/pull/23838, it seems that the issue observed in https://github.com/scikit-learn/scikit-learn/issues/10832 was not solved since it breaks for different random seeds.
Therefore, we should revisit the ori... | 23,897 | [
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https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
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https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
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https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
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0.009845633059740067,
0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
-0.046269819140434265,
-0.02926262840628624,
0.06186295673251152,
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0.009845633059740067,
0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
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0.06186295673251152,
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0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
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-0.02926262840628624,
0.06186295673251152,
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
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-0.02926262840628624,
0.06186295673251152,
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
-0.046269819140434265,
-0.02926262840628624,
0.06186295673251152,
0.021531755104660988,
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0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
-0.046269819140434265,
-0.02926262840628624,
0.06186295673251152,
0.021531755104660988,
0.007628373336046934,
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0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
-0.046269819140434265,
-0.02926262840628624,
0.06186295673251152,
0.021531755104660988,
0.007628373336046934,
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-0.00009834653610596433,
0.04214722290635109,
0.009845633059740067,
0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23896 | [
"Documentation",
"good first issue"
] | Vector Quantization Example increases rather than decreases memory use
### Describe the issue linked to the documentation
The [Vector Quantization Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html) doesn't seem to demonstrate Vector Quantization.
As written, the kmeans clus... | 23,896 | [
-0.017952384427189827,
-0.046269819140434265,
-0.02926262840628624,
0.06186295673251152,
0.021531755104660988,
0.007628373336046934,
0.04571865499019623,
0.05117979645729065,
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0.04214722290635109,
0.009845633059740067,
0.018841693177819252,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23891 | [
"Bug",
"Needs Triage"
] | _get_tags() missing 1 required positional argument: 'self'
### Describe the bug
I made an error when I used RFECV.fit,
### Steps/Code to Reproduce
```python
import pandas as pd
from sklearn.model_selection import StratifiedKFold
import matplotlib.pyplot as plt
from sklearn.feature_selection import RFECV... | 23,891 | [
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0.04293... |
https://github.com/scikit-learn/scikit-learn/issues/23890 | [
"Bug",
"module:neighbors"
] | NearestCentroid not handling properly distance metrics other than Manhattan or Euclidean.
### Describe the bug
Three issues, quite related.
* Using a metric that is not Manhattan or Euclidean triggers the following warning: `UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The a... | 23,890 | [
0.0352913998067379,
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0.02522805519402027,
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0.012966077774763107,
0.0015365013387054205,
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-0... |
https://github.com/scikit-learn/scikit-learn/issues/23890 | [
"Bug",
"module:neighbors"
] | NearestCentroid not handling properly distance metrics other than Manhattan or Euclidean.
### Describe the bug
Three issues, quite related.
* Using a metric that is not Manhattan or Euclidean triggers the following warning: `UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The a... | 23,890 | [
0.0352913998067379,
0.009373847395181656,
0.0037113893777132034,
-0.025138946250081062,
0.07980649918317795,
-0.00244639883749187,
0.02522805519402027,
0.019521178677678108,
0.044418249279260635,
-0.0034454423002898693,
0.012966077774763107,
0.0015365013387054205,
-0.013580971397459507,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/23890 | [
"Bug",
"module:neighbors"
] | NearestCentroid not handling properly distance metrics other than Manhattan or Euclidean.
### Describe the bug
Three issues, quite related.
* Using a metric that is not Manhattan or Euclidean triggers the following warning: `UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The a... | 23,890 | [
0.0352913998067379,
0.009373847395181656,
0.0037113893777132034,
-0.025138946250081062,
0.07980649918317795,
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0.02522805519402027,
0.019521178677678108,
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-0.0034454423002898693,
0.012966077774763107,
0.0015365013387054205,
-0.013580971397459507,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/23890 | [
"Bug",
"module:neighbors"
] | NearestCentroid not handling properly distance metrics other than Manhattan or Euclidean.
### Describe the bug
Three issues, quite related.
* Using a metric that is not Manhattan or Euclidean triggers the following warning: `UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The a... | 23,890 | [
0.0352913998067379,
0.009373847395181656,
0.0037113893777132034,
-0.025138946250081062,
0.07980649918317795,
-0.00244639883749187,
0.02522805519402027,
0.019521178677678108,
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-0.0034454423002898693,
0.012966077774763107,
0.0015365013387054205,
-0.013580971397459507,
-0... |
https://github.com/scikit-learn/scikit-learn/issues/23886 | [
"module:cluster"
] | Different inertia values even with random_state set
### Describe the bug
Im trying to make my algorithm, which involves KMeans, reproducible, but even If I set random_state value I always get different inertia values.
I'm using this [page](https://github.com/danielgribel/hg-means/blob/master/data/page.txt) datase... | 23,886 | [
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-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23886 | [
"module:cluster"
] | Different inertia values even with random_state set
### Describe the bug
Im trying to make my algorithm, which involves KMeans, reproducible, but even If I set random_state value I always get different inertia values.
I'm using this [page](https://github.com/danielgribel/hg-means/blob/master/data/page.txt) datase... | 23,886 | [
-0.027279512956738472,
-0.10703255981206894,
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0.043109092861413956,
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0.019791530445218086,
-0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23885 | [
"Bug",
"module:test-suite",
"Developer API"
] | check_estimator() not respecting custom estimator constraints via check_estimators_fit_returns_self()
### Describe the bug
# check_estimators_fit_returns_self() does not pass with n_feature constraints
Building a custom estimator extending BaseEstimator with certain constraints such as:
## Example of constraints ... | 23,885 | [
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https://github.com/scikit-learn/scikit-learn/issues/23880 | [
"Bug",
"Needs Triage"
] | TfidfVectorizer Argument "Input" Overrides Python Keyword
### Describe the bug
The first argument for the TfidfVectorizer class is named `input` (shown on the documentation page [here](https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html)), but this is already the n... | 23,880 | [
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0.04920771... |
https://github.com/scikit-learn/scikit-learn/issues/23872 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux.ubuntu_atlas ⚠️
**CI is still failing on [Linux.ubuntu_atlas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44652&view=logs&j=0a287ed6-22f4-5cb4-88b1-d5fcdc4d8b7e)** (Jul 17, 2022)
- test_fastica_simple_different_solvers[6-False]
COMMENT:
## CI is no longer failing! ✅
[... | 23,872 | [
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https://github.com/scikit-learn/scikit-learn/issues/23872 | [
"Bug",
"Build / CI"
] | ⚠️ CI failed on Linux.ubuntu_atlas ⚠️
**CI is still failing on [Linux.ubuntu_atlas](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44652&view=logs&j=0a287ed6-22f4-5cb4-88b1-d5fcdc4d8b7e)** (Jul 17, 2022)
- test_fastica_simple_different_solvers[6-False]
COMMENT:
This one looks like a real issue... | 23,872 | [
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0.07062... |
https://github.com/scikit-learn/scikit-learn/issues/23871 | [
"Build / CI"
] | ⚠️ CI failed on Linux_Docker.debian_atlas_32bit ⚠️
**CI failed on [Linux_Docker.debian_atlas_32bit](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44486&view=logs&j=aabdcdc3-bb64-5414-b357-ed024fe8659e)**
Unable to find junit file. Please see link for details.
COMMENT:
This issue should resolv... | 23,871 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23871 | [
"Build / CI"
] | ⚠️ CI failed on Linux_Docker.debian_atlas_32bit ⚠️
**CI failed on [Linux_Docker.debian_atlas_32bit](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44486&view=logs&j=aabdcdc3-bb64-5414-b357-ed024fe8659e)**
Unable to find junit file. Please see link for details.
COMMENT:
## CI is no longer faili... | 23,871 | [
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0.003760357154533267,
0.01... |
https://github.com/scikit-learn/scikit-learn/issues/23871 | [
"Build / CI"
] | ⚠️ CI failed on Linux_Docker.debian_atlas_32bit ⚠️
**CI failed on [Linux_Docker.debian_atlas_32bit](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=44486&view=logs&j=aabdcdc3-bb64-5414-b357-ed024fe8659e)**
Unable to find junit file. Please see link for details.
COMMENT:
I'm closing this issue b... | 23,871 | [
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0.006257700268179178,
... |
https://github.com/scikit-learn/scikit-learn/issues/23863 | [
"Bug",
"Needs Triage"
] | Using sklearnex produces 'AttributeError: 'PCA' object has no attribute 'n_oversamples''
### Describe the bug
Attempting to run the code below results in an error when `sklearnex` is combined with `PCA`. This line produces the error shown below
> python -m sklearnex PCA_test.py
this line does not
> python PC... | 23,863 | [
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0.039959002286195755,
0.03477... |
https://github.com/scikit-learn/scikit-learn/issues/23856 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer fails inside GridSearchCV
### Describe the bug
I am trying to create a pipeline, that first imputes the missing value in a specific column using KNN-Imputer, and then uses a column transformer to discretize a specific column with KBinsDiscrtizer. The pipeline fits/transforms perfectly, but when I put... | 23,856 | [
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-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/23856 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer fails inside GridSearchCV
### Describe the bug
I am trying to create a pipeline, that first imputes the missing value in a specific column using KNN-Imputer, and then uses a column transformer to discretize a specific column with KBinsDiscrtizer. The pipeline fits/transforms perfectly, but when I put... | 23,856 | [
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0.05977107211947441,
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0.012476769275963306,
0.03427627310156822,
0.03705316781997681,
0.01853495091199875,
0.035778310149908066,
0.031481679528951645,
0.027417145669460297,
-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/23856 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer fails inside GridSearchCV
### Describe the bug
I am trying to create a pipeline, that first imputes the missing value in a specific column using KNN-Imputer, and then uses a column transformer to discretize a specific column with KBinsDiscrtizer. The pipeline fits/transforms perfectly, but when I put... | 23,856 | [
0.018050003796815872,
-0.009236344136297703,
0.024547945708036423,
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0.05977107211947441,
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0.012476769275963306,
0.03427627310156822,
0.03705316781997681,
0.01853495091199875,
0.035778310149908066,
0.031481679528951645,
0.027417145669460297,
-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/23856 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer fails inside GridSearchCV
### Describe the bug
I am trying to create a pipeline, that first imputes the missing value in a specific column using KNN-Imputer, and then uses a column transformer to discretize a specific column with KBinsDiscrtizer. The pipeline fits/transforms perfectly, but when I put... | 23,856 | [
0.018050003796815872,
-0.009236344136297703,
0.024547945708036423,
-0.06859706342220306,
0.05977107211947441,
-0.005688680335879326,
0.012476769275963306,
0.03427627310156822,
0.03705316781997681,
0.01853495091199875,
0.035778310149908066,
0.031481679528951645,
0.027417145669460297,
-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/23856 | [
"Bug",
"Needs Triage"
] | KBinsDiscretizer fails inside GridSearchCV
### Describe the bug
I am trying to create a pipeline, that first imputes the missing value in a specific column using KNN-Imputer, and then uses a column transformer to discretize a specific column with KBinsDiscrtizer. The pipeline fits/transforms perfectly, but when I put... | 23,856 | [
0.018050003796815872,
-0.009236344136297703,
0.024547945708036423,
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0.05977107211947441,
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0.012476769275963306,
0.03427627310156822,
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0.01853495091199875,
0.035778310149908066,
0.031481679528951645,
0.027417145669460297,
-0.001... |
https://github.com/scikit-learn/scikit-learn/issues/23854 | [
"Needs Triage"
] | partial plot for MultiOutputRegressor
Not sure whether this is a bug or not.
I tried to use `PartialDependenceDisplay.from_estimator` to see some Parial Dependece plot for couple of features.
I just grab the example code available in the website and changed it as follows:
```python
pipe = make_pipeline(
Mi... | 23,854 | [
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0.... |
https://github.com/scikit-learn/scikit-learn/issues/23854 | [
"Needs Triage"
] | partial plot for MultiOutputRegressor
Not sure whether this is a bug or not.
I tried to use `PartialDependenceDisplay.from_estimator` to see some Parial Dependece plot for couple of features.
I just grab the example code available in the website and changed it as follows:
```python
pipe = make_pipeline(
Mi... | 23,854 | [
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https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
0.053361035883426666,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
0.053361035883426666,
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0.01864425465464592,
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0.04395659640431404,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
0.053361035883426666,
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0.0029114431235939264,
0.01864425465464592,
0.016695255413651466,
0.04395659640431404,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23840 | [
"Easy",
"Documentation"
] | page on the website that provides direction to users on how to reach out
from @amueller
>Hey! Is there a page on the website that summarizes how to reach out and how we prefer people reach out? So far I only see collections of links. I kind of expected the "community" menu item to tell me how to engage with the comm... | 23,840 | [
0.053361035883426666,
-0.06646639853715897,
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0.01864425465464592,
0.016695255413651466,
0.04395659640431404,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
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https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
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https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
0.03414367511868477,
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0.012359843589365482,
0.002520199166610837,
0.049... |
https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
0.029782839119434357,
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0.03809479996562004,
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0.007523436099290848,
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0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
0.019992059096693993,
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0.047554511576890945,
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0.015930453315377235,
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0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23839 | [
"Documentation"
] | Navigation on FAQ is not the best
### Describe the issue linked to the documentation
https://scikit-learn.org/dev/faq.html
The menu on the left is showing the full questions, which is hard to read.
The main page contains questions and answers so there's some scrolling.
### Suggest a potential alternative/fix
I ... | 23,839 | [
0.02026393823325634,
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0.04722902178764343,
0.02752389945089817,
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0.0324... |
https://github.com/scikit-learn/scikit-learn/issues/23837 | [
"module:neighbors",
"Needs Investigation"
] | Unclear selection of LOF threshold
In https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/neighbors/_lof.py#L103-L104 the documentation states that if the parameter 'contamination' is set to 'auto', the threshold for LOF will be calculated as outlined in the original pape... | 23,837 | [
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0.015214790590107441,
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0.06686463207006454,
0.026376748457551003,
0.005033139605075121,
... |
https://github.com/scikit-learn/scikit-learn/issues/23837 | [
"module:neighbors",
"Needs Investigation"
] | Unclear selection of LOF threshold
In https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/neighbors/_lof.py#L103-L104 the documentation states that if the parameter 'contamination' is set to 'auto', the threshold for LOF will be calculated as outlined in the original pape... | 23,837 | [
-0.026179850101470947,
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0.015214790590107441,
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0.010794776491820812,
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0.0002882973349187523,
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0.06686463207006454,
0.026376748457551003,
0.005033139605075121,
... |
https://github.com/scikit-learn/scikit-learn/issues/23837 | [
"module:neighbors",
"Needs Investigation"
] | Unclear selection of LOF threshold
In https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/neighbors/_lof.py#L103-L104 the documentation states that if the parameter 'contamination' is set to 'auto', the threshold for LOF will be calculated as outlined in the original pape... | 23,837 | [
-0.026179850101470947,
-0.07640565186738968,
0.015214790590107441,
-0.016182916238904,
-0.047040097415447235,
-0.021396398544311523,
0.010794776491820812,
-0.012609541416168213,
0.0002882973349187523,
-0.0005455478676594794,
0.06686463207006454,
0.026376748457551003,
0.005033139605075121,
... |
https://github.com/scikit-learn/scikit-learn/issues/23837 | [
"module:neighbors",
"Needs Investigation"
] | Unclear selection of LOF threshold
In https://github.com/scikit-learn/scikit-learn/blob/baf0ea25d6dd034403370fea552b21a6776bef18/sklearn/neighbors/_lof.py#L103-L104 the documentation states that if the parameter 'contamination' is set to 'auto', the threshold for LOF will be calculated as outlined in the original pape... | 23,837 | [
-0.026179850101470947,
-0.07640565186738968,
0.015214790590107441,
-0.016182916238904,
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-0.021396398544311523,
0.010794776491820812,
-0.012609541416168213,
0.0002882973349187523,
-0.0005455478676594794,
0.06686463207006454,
0.026376748457551003,
0.005033139605075121,
... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23832 | [
"Bug",
"Needs Investigation"
] | MeanShift extremely slow when multiple processes are run in parallel
### Describe the bug
I have a script which computes clustering of points using `sklearn.cluster.MeanShift`. As a part of my pipeline, I have to run this script many times on different data. The data changes, but the number of points is roughly the... | 23,832 | [
-0.02571779116988182,
-0.026680687442421913,
-0.016717489808797836,
0.028062619268894196,
0.022521771490573883,
-0.00197758711874485,
0.017609715461730957,
0.0165653508156538,
0.020805958658456802,
0.020386438816785812,
0.04219832643866539,
0.04972662031650543,
-0.019734902307391167,
-0.03... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23830 | [
"Bug",
"Build / CI"
] | "segmentation fault python3" error when trying to import scikit-learn
### Describe the bug
When I try to import scikit-learn, I get a segmentation error. All the other libraries I try to use work fine.
### Steps/Code to Reproduce
First I installed it using `pip3 install scikit-learn`, then I tried `pip3 install s... | 23,830 | [
0.02482718974351883,
-0.041813310235738754,
0.0055688247084617615,
-0.038938008248806,
0.06070883199572563,
0.027749840170145035,
0.036361899226903915,
0.03547940403223038,
0.031539320945739746,
-0.045632485300302505,
0.010029707103967667,
0.07949289679527283,
-0.009812161326408386,
0.0340... |
https://github.com/scikit-learn/scikit-learn/issues/23828 | [
"Bug",
"Documentation"
] | Seaborn raising warning on the DOC
### Describe the bug
Some examples in the documentation are raising
```python-traceback
UserWarning: Trying to register the cmap 'rocket' which already exists.
```
Example: https://scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html... | 23,828 | [
0.042048946022987366,
0.021535521373152733,
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0.07584179937839508,
0.038143374025821686,
0.05751674622297287,
0.00594003451988101,
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0.027867399156093597,
0.06992477178573608,
0.0356246642768383,
-0.0069... |
https://github.com/scikit-learn/scikit-learn/issues/23828 | [
"Bug",
"Documentation"
] | Seaborn raising warning on the DOC
### Describe the bug
Some examples in the documentation are raising
```python-traceback
UserWarning: Trying to register the cmap 'rocket' which already exists.
```
Example: https://scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html... | 23,828 | [
0.042048946022987366,
0.021535521373152733,
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0.07584179937839508,
0.038143374025821686,
0.05751674622297287,
0.00594003451988101,
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-0.017293483018875122,
0.027867399156093597,
0.06992477178573608,
0.0356246642768383,
-0.0069... |
https://github.com/scikit-learn/scikit-learn/issues/23823 | [
"Bug",
"Needs Investigation"
] | KMeans not working with multiprocessing
TL;DR: it seems that kmeans need to somehow release processors after running, otherwise multiprocessing package cannot call it properly.
I found this issue when I tried to build a multiprocessing tool that iteratively calls KMeans. It works fine if KMeans is only executed in... | 23,823 | [
-0.022418975830078125,
0.002407592022791505,
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0.008964340202510357,
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0.004009156953543425,
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-0.00032382560311816633,
0.07217339426279068,
-0.004885398782789707... |
https://github.com/scikit-learn/scikit-learn/issues/23823 | [
"Bug",
"Needs Investigation"
] | KMeans not working with multiprocessing
TL;DR: it seems that kmeans need to somehow release processors after running, otherwise multiprocessing package cannot call it properly.
I found this issue when I tried to build a multiprocessing tool that iteratively calls KMeans. It works fine if KMeans is only executed in... | 23,823 | [
-0.023557743057608604,
-0.026530897244811058,
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0.008125191554427147,
0.021705107763409615,
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0.03704507648944855,
0.0008319375338032842,
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-0.0026098189409822226,
0.019900931045413017,
0.07283017039299011,
-0.019955184310674667,
... |
https://github.com/scikit-learn/scikit-learn/issues/23817 | [
"New Feature",
"Needs Decision - Include Feature"
] | Add a LearningCurveSplitter to test sample efficiency
### Describe the workflow you want to enable
In applications of machine learning the error of the model typically follows a power law with the number of training examples. In the ML for material science and molecules community there is lots of interest in using su... | 23,817 | [
-0.05381312221288681,
0.03197716176509857,
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0.04324427619576454,
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0.045933060348033905,
0.06731496006250381,
0.011757010594010353,
0.02171233296394348,
0.013889352791011333,
0.009999343194067478,
-0.0826147124171257,
0.062... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.024352524429559708,
0.05866309255361557,
0.029552722349762917,
-0.01712389662861824,
0.03517615795135498,
0.0021459865383803844,
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0.019370615482330322,
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-0.021985504776239395,
0.049750376492738724,
0.005399457179009914,
-0.009310153312981129,
... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.024690575897693634,
0.061363909393548965,
0.029742030426859856,
-0.020501984283328056,
0.0346977524459362,
0.0026508690789341927,
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0.014826014637947083,
-0.00910684559494257,
-0.024102922528982162,
0.04820090904831886,
0.008604730479419231,
-0.007518567610532045,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.025256557390093803,
0.05816706642508507,
0.0310103427618742,
-0.015814775601029396,
0.03516886755824089,
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0.0213815588504076,
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-0.02191104367375374,
0.049407925456762314,
0.005848307628184557,
-0.011296907439827919,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.024109678342938423,
0.06312893331050873,
0.03287920728325844,
-0.019210945814847946,
0.03362126275897026,
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0.014799898490309715,
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-0.024292470887303352,
0.05180586501955986,
0.0049337963573634624,
-0.009686373174190521,
0... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.024690575897693634,
0.061363909393548965,
0.029742030426859856,
-0.020501984283328056,
0.0346977524459362,
0.0026508690789341927,
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0.014826014637947083,
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-0.024102922528982162,
0.04820090904831886,
0.008604730479419231,
-0.007518567610532045,
0.0... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.025116387754678726,
0.0642971470952034,
0.030661767348647118,
-0.02177521586418152,
0.03518211841583252,
0.002321220701560378,
-0.022298431023955345,
0.017415950074791908,
-0.009213845245540142,
-0.022058287635445595,
0.04986318200826645,
0.01064233761280775,
-0.007916643284261227,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/23810 | [
"Bug",
"Validation"
] | Unexpected interaction between param validation and _get_tags in TweedieRegressor
Calling ``_get_tags`` on a ``TweedieRegressor`` with invalid value for the ``link`` or ``power`` parameter raises an error.
This is because the tag "requires_positive_y" is computed dynamically and depends on these 2 parameters.
It c... | 23,810 | [
0.02179645001888275,
0.06156359985470772,
0.030046185478568077,
-0.019614452496170998,
0.03582167625427246,
0.0016146699199452996,
-0.01880933903157711,
0.01604270003736019,
-0.008584137074649334,
-0.02347351424396038,
0.04937755689024925,
0.007686958648264408,
-0.011986427940428257,
0.043... |
https://github.com/scikit-learn/scikit-learn/issues/23801 | [
"New Feature",
"module:calibration",
"Needs Decision - Include Feature"
] | Add `ref_line_kwargs` to CalibrationDisplay
### Describe the workflow you want to enable
**I would like to style the `CalibrationDisplay` reference line by passing styling arguments via a kwargs object.**
If I need the reference line colored `'white'`, I would like to enable the following workflow:
```python
fi... | 23,801 | [
0.012161239050328732,
0.02518099918961525,
0.022914612665772438,
0.0019564353860914707,
0.0037612514570355415,
-0.027670925483107567,
0.06363844126462936,
0.018719103187322617,
0.010109918192029,
-0.027043618261814117,
-0.05548669025301933,
0.07396011799573898,
0.010807686485350132,
0.0045... |
https://github.com/scikit-learn/scikit-learn/issues/23801 | [
"New Feature",
"module:calibration",
"Needs Decision - Include Feature"
] | Add `ref_line_kwargs` to CalibrationDisplay
### Describe the workflow you want to enable
**I would like to style the `CalibrationDisplay` reference line by passing styling arguments via a kwargs object.**
If I need the reference line colored `'white'`, I would like to enable the following workflow:
```python
fi... | 23,801 | [
0.012161239050328732,
0.02518099918961525,
0.022914612665772438,
0.0019564353860914707,
0.0037612514570355415,
-0.027670925483107567,
0.06363844126462936,
0.018719103187322617,
0.010109918192029,
-0.027043618261814117,
-0.05548669025301933,
0.07396011799573898,
0.010807686485350132,
0.0045... |
https://github.com/scikit-learn/scikit-learn/issues/23792 | [
"Build / CI"
] | CI Windows py38_pip_openblas_32bit failure
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=43998&view=logs&j=734b5312-468f-561d-b673-ced664ca0924&t=f7d15bce-29b2-54d8-4dda-fe465082bd42
- probably a global random seed thing, it failed with `global_random_seed = 50`, failing test is `test_inver... | 23,792 | [
-0.02821003831923008,
-0.04117058217525482,
-0.002835458843037486,
0.011982924304902554,
0.0607910230755806,
0.008666868321597576,
0.01016669999808073,
0.008120914921164513,
-0.025970615446567535,
-0.00626644492149353,
-0.00035328464582562447,
-0.010183514095842838,
0.03116798587143421,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/23792 | [
"Build / CI"
] | CI Windows py38_pip_openblas_32bit failure
https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=43998&view=logs&j=734b5312-468f-561d-b673-ced664ca0924&t=f7d15bce-29b2-54d8-4dda-fe465082bd42
- probably a global random seed thing, it failed with `global_random_seed = 50`, failing test is `test_inver... | 23,792 | [
-0.030165700241923332,
-0.011386631987988949,
-0.011251071467995644,
0.002500637201592326,
0.06875298917293549,
0.01249295100569725,
0.02763119712471962,
0.02908467687666416,
-0.022874966263771057,
-0.022206740453839302,
0.023613590747117996,
0.007848362438380718,
0.0039327507838606834,
0.... |
https://github.com/scikit-learn/scikit-learn/issues/23788 | [
"New Feature",
"module:pipeline"
] | allow sklearn pipeline cache to ignore certain arguments
### Describe the workflow you want to enable
To the best of my understanding, sklearn pipeline cache helps reduce computation when the full argument list matches what has been cached. The main motivation of caching seems to cache the transformer steps, and tran... | 23,788 | [
-0.030644292011857033,
0.06261659413576126,
0.006288429722189903,
-0.003516519907861948,
0.04391616955399513,
0.0036712842993438244,
0.009258956648409367,
-0.002537206746637821,
0.06646886467933655,
-0.013619593344628811,
0.016235655173659325,
0.021779805421829224,
-0.0029202012810856104,
... |
https://github.com/scikit-learn/scikit-learn/issues/23788 | [
"New Feature",
"module:pipeline"
] | allow sklearn pipeline cache to ignore certain arguments
### Describe the workflow you want to enable
To the best of my understanding, sklearn pipeline cache helps reduce computation when the full argument list matches what has been cached. The main motivation of caching seems to cache the transformer steps, and tran... | 23,788 | [
-0.030644292011857033,
0.06261659413576126,
0.006288429722189903,
-0.003516519907861948,
0.04391616955399513,
0.0036712842993438244,
0.009258956648409367,
-0.002537206746637821,
0.06646886467933655,
-0.013619593344628811,
0.016235655173659325,
0.021779805421829224,
-0.0029202012810856104,
... |
https://github.com/scikit-learn/scikit-learn/issues/23788 | [
"New Feature",
"module:pipeline"
] | allow sklearn pipeline cache to ignore certain arguments
### Describe the workflow you want to enable
To the best of my understanding, sklearn pipeline cache helps reduce computation when the full argument list matches what has been cached. The main motivation of caching seems to cache the transformer steps, and tran... | 23,788 | [
-0.030644292011857033,
0.06261659413576126,
0.006288429722189903,
-0.003516519907861948,
0.04391616955399513,
0.0036712842993438244,
0.009258956648409367,
-0.002537206746637821,
0.06646886467933655,
-0.013619593344628811,
0.016235655173659325,
0.021779805421829224,
-0.0029202012810856104,
... |
https://github.com/scikit-learn/scikit-learn/issues/23788 | [
"New Feature",
"module:pipeline"
] | allow sklearn pipeline cache to ignore certain arguments
### Describe the workflow you want to enable
To the best of my understanding, sklearn pipeline cache helps reduce computation when the full argument list matches what has been cached. The main motivation of caching seems to cache the transformer steps, and tran... | 23,788 | [
-0.030644292011857033,
0.06261659413576126,
0.006288429722189903,
-0.003516519907861948,
0.04391616955399513,
0.0036712842993438244,
0.009258956648409367,
-0.002537206746637821,
0.06646886467933655,
-0.013619593344628811,
0.016235655173659325,
0.021779805421829224,
-0.0029202012810856104,
... |
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