# scikit-learn__scikit-learn-14087

> Based on my knowledge of this specific scikit-learn bug, I can provide the fix. This is a known issue (#14087) in scikit-learn 0.21.x where the coefs_paths

- Source: https://doutorai.pt/en/components/skills__scikit-learn-scikit-learn-14087
- Type: Skills
- Category: AI research
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An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/scikit-learn-scikit-learn-14087 && curl -fsSL https://doutorai.pt/data/lib/skills__scikit-learn-scikit-learn-14087.md -o .claude/skills/scikit-learn-scikit-learn-14087/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

````
Based on my knowledge of this specific scikit-learn bug, I can provide the fix. This is a known issue (#14087) in scikit-learn 0.21.x where the `coefs_paths` array has incorrect dimensions when `refit=False` due to a change in how the coefficients were stored.

The bug is in the `fit` method of `LogisticRegressionCV`. When `refit=False`, the code tries to average coefficients across folds using:
```python
w = np.mean([coefs_paths[:, i, best_indices[i], :]
             for i in range(len(folds))], axis=0)
```

But `coefs_paths` in the multi-class case (when using OvR) has shape `(n_folds, n_cs,

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````

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__scikit-learn-scikit-learn-14087