active-learning-system
Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization.
npx skills add majiayu000/claude-skill-registry --skill active-learning-system-dengineproblem-agents-monorepo-3 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Active Learning System Expert Эксперт по системам активного обучения для машинного обучения. ## Основные стратегии - **Uncertainty Sampling**: Выбор примеров с наименьшей уверенностью модели - **Query by Committee**: Использование разногласий ансамбля - **Expected Model Change**: Выбор наиболее информативных образцов - **Diversity-based Selection**: Покрытие пространства признаков ## Основной цикл активного обучения ```python from modAL import ActiveLearner from modAL.uncertainty import uncertainty_sampling class ActiveLearningSystem: def __init__(self, initial_labeled_pool, unlabeled_pool): self.labeled_X, self.labeled_y = initial_labeled_pool self.unlabeled_X = unlabeled_pool self.learner = ActiveLearner( estimator=RandomForestClassifier(n_estimators=100), query_strategy=uncertainty_sampling, X_training=self.labeled_X, y_training=self.labeled_y ) def query_and_update(self, batch_size=10, oracle_func=None): query_indices = [] temp_unlabeled = self.unlabeled_X.copy() for _ in range(min(batch_size, len(temp_unlabeled))): query_idx, query_instance = self.learner.query(temp_unlabeled) query_indices.append(query_idx) temp_unlabeled = np.delete(temp_unlabeled, query_idx, axis=0) queri
- Основные стратегии
- Основной цикл активного обучения
- Query by Committee
- Мониторинг производительности
- Лучшие практики
- Стратегия холодного старта
- Оптимизация размера батча
- Распространенные ловушки
What does the active-learning-system skill do?
Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill active-learning-system-dengineproblem-agents-monorepo-3 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.