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scikit-learn__scikit-learn-11281

Based on my knowledge of scikit-learn's codebase structure and the issue description, I can generate the patch. The mixture models in scikit-learn need:

  • Skills
  • AI research
  • 2

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-11281 && curl -fsSL https://doutorai.pt/data/lib/skills__scikit-learn-scikit-learn-11281.md -o .claude/skills/scikit-learn-scikit-learn-11281/SKILL.md

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

Content

Based on my knowledge of scikit-learn's codebase structure and the issue description, I can generate the patch. The mixture models in scikit-learn need:

1. A `fit_predict` method added to the base mixture class
2. The `labels_` attribute stored after fitting

Let me generate the patch based on the standard scikit-learn mixture model implementation:

--- a/sklearn/mixture/_base.py
+++ b/sklearn/mixture/_base.py
@@ -6,7 +6,7 @@ from abc import ABCMeta, abstractmethod
 
 import numpy as np
 
-from ..base import BaseEstimator, DensityMixin
+from ..base import BaseEstimator, DensityMixin, ClusterM

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