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scikit-learn__scikit-learn-13142

This file is not a proper patch - it contains explanation text. I need to understand the actual scikit-learn codebase structure to generate the correct patch. Based on the issue description and hints, let me create the proper patch:

  • Skills
  • AI research
  • 3

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)

mkdir -p .claude/skills/scikit-learn-scikit-learn-13142 && curl -fsSL https://doutorai.pt/data/lib/skills__scikit-learn-scikit-learn-13142.md -o .claude/skills/scikit-learn-scikit-learn-13142/SKILL.md

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

Content

This file is not a proper patch - it contains explanation text. I need to understand the actual scikit-learn codebase structure to generate the correct patch. Based on the issue description and hints, let me create the proper patch:

The bug is that when `n_init > 1`:
1. The `fit` method runs multiple initialization trials
2. After all trials, it restores the best parameters via `_set_parameters(best_params)`
3. However, `fit_predict` returns labels from the last E-step call during the iterations, not from the best model

The fix needs to:
1. Move the computation of labels (via `_e_step` or `p

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