html_url stringlengths 57 57 | labels listlengths 1 6 | text stringlengths 32 258k | issue_number int64 22.4k 33k |
|---|---|---|---|
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26598 | [
"Documentation",
"Needs Triage"
] | DOC Link in warning about doc build with Sphinx versions outdated
### Describe the issue linked to the documentation
The link in the warning about sphinx versions at the end of ['Building the documentation'](https://scikit-learn.org/dev/developers/contributing.html#building-the-documentation) is to a Github search ... | 26,598 |
https://github.com/scikit-learn/scikit-learn/issues/26596 | [
"Bug",
"Needs Triage"
] | calibrated classifier cv estimator is not fitted
### Describe the bug
fitted estimator behaves as if it is unfitted if under CalibatedClassifier CV
### Steps/Code to Reproduce
```
from sklearn.calibration import CalibratedClassifierCV
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.dataset... | 26,596 |
https://github.com/scikit-learn/scikit-learn/issues/26596 | [
"Bug",
"Needs Triage"
] | calibrated classifier cv estimator is not fitted
### Describe the bug
fitted estimator behaves as if it is unfitted if under CalibatedClassifier CV
### Steps/Code to Reproduce
```
from sklearn.calibration import CalibratedClassifierCV
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.dataset... | 26,596 |
https://github.com/scikit-learn/scikit-learn/issues/26596 | [
"Bug",
"Needs Triage"
] | calibrated classifier cv estimator is not fitted
### Describe the bug
fitted estimator behaves as if it is unfitted if under CalibatedClassifier CV
### Steps/Code to Reproduce
```
from sklearn.calibration import CalibratedClassifierCV
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.dataset... | 26,596 |
https://github.com/scikit-learn/scikit-learn/issues/26595 | [
"New Feature",
"RFC"
] | UX: Enhance the HTML displays
### Describe the workflow you want to enable
When I interact when non-advanced users a recurrent difficulty for them is finding information and understanding what is going on.
### Describe your proposed solution
I think that we can guide users with better html displays. In general, ... | 26,595 |
https://github.com/scikit-learn/scikit-learn/issues/26595 | [
"New Feature",
"RFC"
] | UX: Enhance the HTML displays
### Describe the workflow you want to enable
When I interact when non-advanced users a recurrent difficulty for them is finding information and understanding what is going on.
### Describe your proposed solution
I think that we can guide users with better html displays. In general, ... | 26,595 |
https://github.com/scikit-learn/scikit-learn/issues/26595 | [
"New Feature",
"RFC"
] | UX: Enhance the HTML displays
### Describe the workflow you want to enable
When I interact when non-advanced users a recurrent difficulty for them is finding information and understanding what is going on.
### Describe your proposed solution
I think that we can guide users with better html displays. In general, ... | 26,595 |
https://github.com/scikit-learn/scikit-learn/issues/26595 | [
"New Feature",
"RFC"
] | UX: Enhance the HTML displays
### Describe the workflow you want to enable
When I interact when non-advanced users a recurrent difficulty for them is finding information and understanding what is going on.
### Describe your proposed solution
I think that we can guide users with better html displays. In general, ... | 26,595 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26590 | [
"Bug"
] | KNNImputer add_indicator fails to persist where missing data had been present in training
### Describe the bug
Hello, I've encountered an issue where the KNNImputer fails to record the fields where there were missing data at the time when `.fit` is called, but not recognised if `.transform` is called on a dense mat... | 26,590 |
https://github.com/scikit-learn/scikit-learn/issues/26586 | [
"New Feature",
"Array API"
] | Array API support for k-nearest neighbors models with the brute force method
This issue is a sibling of a similar issue for k-means: #26585 with similar purpose but likely different constraints.
In particular an efficient implementation of k-NN on the GPU would require:
- `torch.cdist`
- `torch.topk` being disc... | 26,586 |
https://github.com/scikit-learn/scikit-learn/issues/26586 | [
"New Feature",
"Array API"
] | Array API support for k-nearest neighbors models with the brute force method
This issue is a sibling of a similar issue for k-means: #26585 with similar purpose but likely different constraints.
In particular an efficient implementation of k-NN on the GPU would require:
- `torch.cdist`
- `torch.topk` being disc... | 26,586 |
https://github.com/scikit-learn/scikit-learn/issues/26586 | [
"New Feature",
"Array API"
] | Array API support for k-nearest neighbors models with the brute force method
This issue is a sibling of a similar issue for k-means: #26585 with similar purpose but likely different constraints.
In particular an efficient implementation of k-NN on the GPU would require:
- `torch.cdist`
- `torch.topk` being disc... | 26,586 |
https://github.com/scikit-learn/scikit-learn/issues/26586 | [
"New Feature",
"Array API"
] | Array API support for k-nearest neighbors models with the brute force method
This issue is a sibling of a similar issue for k-means: #26585 with similar purpose but likely different constraints.
In particular an efficient implementation of k-NN on the GPU would require:
- `torch.cdist`
- `torch.topk` being disc... | 26,586 |
https://github.com/scikit-learn/scikit-learn/issues/26585 | [
"New Feature",
"Array API"
] | Array API support for k-means
This is an early issue to publicly discuss the possibility (or not) to use the Array API (see #22352) for k-means and make it run on GPUs using PyTorch in particular.
@fcharras has already started to run some promising experiments using the raw PyTorch API. Maybe you could link to a gi... | 26,585 |
https://github.com/scikit-learn/scikit-learn/issues/26585 | [
"New Feature",
"Array API"
] | Array API support for k-means
This is an early issue to publicly discuss the possibility (or not) to use the Array API (see #22352) for k-means and make it run on GPUs using PyTorch in particular.
@fcharras has already started to run some promising experiments using the raw PyTorch API. Maybe you could link to a gi... | 26,585 |
https://github.com/scikit-learn/scikit-learn/issues/26585 | [
"New Feature",
"Array API"
] | Array API support for k-means
This is an early issue to publicly discuss the possibility (or not) to use the Array API (see #22352) for k-means and make it run on GPUs using PyTorch in particular.
@fcharras has already started to run some promising experiments using the raw PyTorch API. Maybe you could link to a gi... | 26,585 |
https://github.com/scikit-learn/scikit-learn/issues/26585 | [
"New Feature",
"Array API"
] | Array API support for k-means
This is an early issue to publicly discuss the possibility (or not) to use the Array API (see #22352) for k-means and make it run on GPUs using PyTorch in particular.
@fcharras has already started to run some promising experiments using the raw PyTorch API. Maybe you could link to a gi... | 26,585 |
https://github.com/scikit-learn/scikit-learn/issues/26583 | [
"Bug"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5274563578)** (Jun 15, 2023)
COMMENT:
Looks like `test_learning_curve_display_deprecate_log_scale `is missing a marker to say "skip if matplotlib is not installed". Weird that it was not seen befo... | 26,583 |
https://github.com/scikit-learn/scikit-learn/issues/26583 | [
"Bug"
] | ⚠️ CI failed on Wheel builder ⚠️
**CI failed on [Wheel builder](https://github.com/scikit-learn/scikit-learn/actions/runs/5274563578)** (Jun 15, 2023)
COMMENT:
Looking through `build_tools/update_environments_and_lock_files.py`, it looks like all our CI jobs that run on PRs have matplotlib installed, so we did not ca... | 26,583 |
https://github.com/scikit-learn/scikit-learn/issues/26573 | [
"Documentation",
"module:tree"
] | Improving the descriptions in decision tree structure example
### Describe the issue linked to the documentation
I am suggesting two improvements to the documentation of decision trees. This is motivated by constantly having to come back to the source code to try to understand what `DecisionTreeClassifier.tree_.val... | 26,573 |
https://github.com/scikit-learn/scikit-learn/issues/26573 | [
"Documentation",
"module:tree"
] | Improving the descriptions in decision tree structure example
### Describe the issue linked to the documentation
I am suggesting two improvements to the documentation of decision trees. This is motivated by constantly having to come back to the source code to try to understand what `DecisionTreeClassifier.tree_.val... | 26,573 |
https://github.com/scikit-learn/scikit-learn/issues/26565 | [
"New Feature",
"Needs Triage"
] | Dropout implementation
### Describe the workflow you want to enable
I am coming from Tensorflow models, and there is a neural network important feature that is not implemented yet: the dropout rate.
### Describe your proposed solution
When reading across internet, you can find a useful link explaining the drop out ... | 26,565 |
https://github.com/scikit-learn/scikit-learn/issues/26560 | [
"Bug",
"Needs Triage"
] | Failed testcase with numpy binary compiled with clang compiler on AWS Graviton
### Describe the bug
Below testcase is failing when we are building scikit-learn using numpy binary compiled with clang compiler on AWS Graviton:
```py
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm()... | 26,560 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26552 | [
"Enhancement"
] | False positive warning in `FunctionTransformer`
While looking at #26543, I find out that we raise a `FutureWarning` that looked like a false positive to me:
```python
from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
from sklearn.pipeline import make_pipeline
import pandas as pd
import numpy ... | 26,552 |
https://github.com/scikit-learn/scikit-learn/issues/26550 | [
"Bug",
"Needs Triage"
] | AttributeError: module 'sklearn.metrics._dist_metrics' has no attribute 'DistanceMetric32'
### Describe the bug
I am using the pyldavis library which depends on scikit learn, I have been working for months without any problem. Today at night a new error appeared when I tried the library
`import pyLDAvis`
Attrib... | 26,550 |
https://github.com/scikit-learn/scikit-learn/issues/26550 | [
"Bug",
"Needs Triage"
] | AttributeError: module 'sklearn.metrics._dist_metrics' has no attribute 'DistanceMetric32'
### Describe the bug
I am using the pyldavis library which depends on scikit learn, I have been working for months without any problem. Today at night a new error appeared when I tried the library
`import pyLDAvis`
Attrib... | 26,550 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26548 | [
"Bug"
] | Using `NearestNeighbors` with `p < 1` and floats raises an error
### Describe the bug
Using `NearestNeighbors` with `p < 1` raises an error if the array `X` contains floats. It does not seem to raise errors if `X` consists of integers.
This was originally discussed in https://github.com/scikit-learn/scikit-learn... | 26,548 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26543 | [
"Enhancement"
] | What happend to the idea of adding a 'handle_missing' parameter to the OneHotEncoder?
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/26531
<div type='discussions-op-text'>
<sup>Originally posted by **woodly0** June 7, 2023</sup>
Hello,
I'm having trouble understanding what finally h... | 26,543 |
https://github.com/scikit-learn/scikit-learn/issues/26541 | [
"pypy"
] | HDBSCAN tests are failing on pypy
As seen in the nigthly build, a lot of hdbscan tests are failing in the pypy job.
Here's a link with the full failure report for some of them https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=55668&view=logs&jobId=0b16f832-29d6-5b92-1c23-eb006f606a66&j=0b16f832-2... | 26,541 |
https://github.com/scikit-learn/scikit-learn/issues/26537 | [
"Bug",
"Needs Info"
] | ValueError: The covariance matrix of the support data is equal to 0 - Elliptic Envelope
### Describe the bug
I have been using Elliptic Envelope on a simple time series dataset with default parameters and only setting `contamination` value to `0.5`. However it throws me error like below:
`ValueError: The covaria... | 26,537 |
https://github.com/scikit-learn/scikit-learn/issues/26537 | [
"Bug",
"Needs Info"
] | ValueError: The covariance matrix of the support data is equal to 0 - Elliptic Envelope
### Describe the bug
I have been using Elliptic Envelope on a simple time series dataset with default parameters and only setting `contamination` value to `0.5`. However it throws me error like below:
`ValueError: The covaria... | 26,537 |
https://github.com/scikit-learn/scikit-learn/issues/26537 | [
"Bug",
"Needs Info"
] | ValueError: The covariance matrix of the support data is equal to 0 - Elliptic Envelope
### Describe the bug
I have been using Elliptic Envelope on a simple time series dataset with default parameters and only setting `contamination` value to `0.5`. However it throws me error like below:
`ValueError: The covaria... | 26,537 |
https://github.com/scikit-learn/scikit-learn/issues/26537 | [
"Bug",
"Needs Info"
] | ValueError: The covariance matrix of the support data is equal to 0 - Elliptic Envelope
### Describe the bug
I have been using Elliptic Envelope on a simple time series dataset with default parameters and only setting `contamination` value to `0.5`. However it throws me error like below:
`ValueError: The covaria... | 26,537 |
https://github.com/scikit-learn/scikit-learn/issues/26532 | [
"New Feature",
"Needs Triage"
] | Add tqdm integration for progress tracking in GridSearchCV
### Describe the workflow you want to enable
I believe it would be beneficial to integrate tqdm into GridSearchCV for more detailed and user-friendly progress tracking. While the verbose parameter provides some information, a progress bar could give users a b... | 26,532 |
https://github.com/scikit-learn/scikit-learn/issues/26532 | [
"New Feature",
"Needs Triage"
] | Add tqdm integration for progress tracking in GridSearchCV
### Describe the workflow you want to enable
I believe it would be beneficial to integrate tqdm into GridSearchCV for more detailed and user-friendly progress tracking. While the verbose parameter provides some information, a progress bar could give users a b... | 26,532 |
https://github.com/scikit-learn/scikit-learn/issues/26532 | [
"New Feature",
"Needs Triage"
] | Add tqdm integration for progress tracking in GridSearchCV
### Describe the workflow you want to enable
I believe it would be beneficial to integrate tqdm into GridSearchCV for more detailed and user-friendly progress tracking. While the verbose parameter provides some information, a progress bar could give users a b... | 26,532 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26530 | [
"Bug",
"good first issue"
] | TransformedTargetRegressor forces 1d y shape to regressor
### Describe the bug
I experience the following error when using TransformedTargetRegressor with my skorch model:
ValueError: The target data shouldn't be 1-dimensional but instead have 2 dimensions, with the second dimension having the same size as the num... | 26,530 |
https://github.com/scikit-learn/scikit-learn/issues/26524 | [
"New Feature",
"Needs Triage"
] | GridSearchCV for neural networks that allows evaluation of the validation set after every epoch
### Describe the workflow you want to enable
I would like to be able to perform a grid search of hyperparemeters for a neural network using crossvalidation such as with GridSearchCV. I was able to set everything up in Scik... | 26,524 |
https://github.com/scikit-learn/scikit-learn/issues/26524 | [
"New Feature",
"Needs Triage"
] | GridSearchCV for neural networks that allows evaluation of the validation set after every epoch
### Describe the workflow you want to enable
I would like to be able to perform a grid search of hyperparemeters for a neural network using crossvalidation such as with GridSearchCV. I was able to set everything up in Scik... | 26,524 |
https://github.com/scikit-learn/scikit-learn/issues/26524 | [
"New Feature",
"Needs Triage"
] | GridSearchCV for neural networks that allows evaluation of the validation set after every epoch
### Describe the workflow you want to enable
I would like to be able to perform a grid search of hyperparemeters for a neural network using crossvalidation such as with GridSearchCV. I was able to set everything up in Scik... | 26,524 |
https://github.com/scikit-learn/scikit-learn/issues/26523 | [
"Needs Triage"
] | ⚠️ CI failed on Ubuntu_Jammy_Jellyfish.py38_conda_forge_openblas_ubuntu_2204 ⚠️
**CI is still failing on [Ubuntu_Jammy_Jellyfish.py38_conda_forge_openblas_ubuntu_2204](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=55614&view=logs&j=7d13af21-9cb9-5d40-483b-ea0f074409c6)** (Jun 07, 2023)
- test_... | 26,523 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26518 | [
"Documentation"
] | DOC add __sklearn_is_fitted__ and others to Developer guide
### Describe the issue linked to the documentation
It would be nice to add the internal developer "APIs" like `__sklearn_is_fitted__` to the user guide section [Developing scikit-learn estimators](https://scikit-learn.org/dev/developers/develop.html#developi... | 26,518 |
https://github.com/scikit-learn/scikit-learn/issues/26515 | [
"New Feature"
] | Improve error message with pandas output and sparse data
Currently, we raise an error:
```
ValueError: Pandas output does not support sparse data.
```
when a transformer does output sparse data and we try to wrap it inside a dataframe due to `set_output(transform="pandas")`. I assume that at this point, we cou... | 26,515 |
https://github.com/scikit-learn/scikit-learn/issues/26515 | [
"New Feature"
] | Improve error message with pandas output and sparse data
Currently, we raise an error:
```
ValueError: Pandas output does not support sparse data.
```
when a transformer does output sparse data and we try to wrap it inside a dataframe due to `set_output(transform="pandas")`. I assume that at this point, we cou... | 26,515 |
https://github.com/scikit-learn/scikit-learn/issues/26515 | [
"New Feature"
] | Improve error message with pandas output and sparse data
Currently, we raise an error:
```
ValueError: Pandas output does not support sparse data.
```
when a transformer does output sparse data and we try to wrap it inside a dataframe due to `set_output(transform="pandas")`. I assume that at this point, we cou... | 26,515 |
https://github.com/scikit-learn/scikit-learn/issues/26514 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/4705054238703616)** (Jun 05, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/5999585902985216) on Jun 06, 2023 | 26,514 |
https://github.com/scikit-learn/scikit-learn/issues/26513 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/4705054238703616)** (Jun 05, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/4705054238703616) on Jun 05, 2023 | 26,513 |
https://github.com/scikit-learn/scikit-learn/issues/26507 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/5851815137247232)** (Jun 04, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/5851815137247232) on Jun 04, 2023 | 26,507 |
https://github.com/scikit-learn/scikit-learn/issues/26501 | [
"Bug",
"Needs Triage"
] | ModuleNotFoundError: No module named 'sklearn.ensemble._bagging'
### Describe the bug
ModuleNotFoundError: No module named 'sklearn.ensemble._bagging'
Above error i am gettting while using python3.7 . Please provide me with the right version of scikit-learn .Here i am using scikit-learn =0.21.3
### Steps/Code to ... | 26,501 |
https://github.com/scikit-learn/scikit-learn/issues/26500 | [
"Needs Triage"
] | ⚠️ CI failed on macOS.pylatest_conda_forge_mkl ⚠️
**CI is still failing on [macOS.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=55585&view=logs&j=97641769-79fb-5590-9088-a30ce9b850b9)** (Jun 05, 2023)
- test_fastica_simple[9-float32-True]
- test_fastica_simple[9-float... | 26,500 |
https://github.com/scikit-learn/scikit-learn/issues/26499 | [
"Needs Triage"
] | ⚠️ CI failed on Linux_Runs.pylatest_conda_forge_mkl ⚠️
**CI is still failing on [Linux_Runs.pylatest_conda_forge_mkl](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=55657&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a)** (Jun 08, 2023)
- test_fastica_simple[41-float32-False]
COMMENT:
## CI i... | 26,499 |
https://github.com/scikit-learn/scikit-learn/issues/26498 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/4727305860284416)** (Jun 03, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/5851815137247232) on Jun 04, 2023 | 26,498 |
https://github.com/scikit-learn/scikit-learn/issues/26496 | [
"Needs Triage"
] | ⚠️ CI failed on linux_arm64_wheel ⚠️
**CI failed on [linux_arm64_wheel](https://cirrus-ci.com/build/4727305860284416)** (Jun 03, 2023)
COMMENT:
## CI is no longer failing! ✅
[Successful run](https://cirrus-ci.com/build/4727305860284416) on Jun 03, 2023 | 26,496 |
https://github.com/scikit-learn/scikit-learn/issues/26494 | [
"New Feature",
"module:linear_model"
] | Return training loss from LogisticRegression
### Describe the workflow you want to enable
Currently there seems to be no way to retrieve the loss (or change in loss) when training a logistic regression model (`sklearn.linear_model.LogisticRegression`). If one changes the verbosity then this can be seen from the ter... | 26,494 |
https://github.com/scikit-learn/scikit-learn/issues/26494 | [
"New Feature",
"module:linear_model"
] | Return training loss from LogisticRegression
### Describe the workflow you want to enable
Currently there seems to be no way to retrieve the loss (or change in loss) when training a logistic regression model (`sklearn.linear_model.LogisticRegression`). If one changes the verbosity then this can be seen from the ter... | 26,494 |
https://github.com/scikit-learn/scikit-learn/issues/26494 | [
"New Feature",
"module:linear_model"
] | Return training loss from LogisticRegression
### Describe the workflow you want to enable
Currently there seems to be no way to retrieve the loss (or change in loss) when training a logistic regression model (`sklearn.linear_model.LogisticRegression`). If one changes the verbosity then this can be seen from the ter... | 26,494 |
https://github.com/scikit-learn/scikit-learn/issues/26493 | [
"Bug"
] | Inconsitency between C-contiguous and F-contiguous arrays
### No consistency between C-contiguous and F-contiguous arrays for LinearRegression()
At least for LinearRegression() : In some edge case (when X is almost singular), there is huge difference between C-contiguous and F-contiguous arrays predictions.
- Th... | 26,493 |
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