Sampling strategies for large-scale datasets
Project description
Sampling Strategies Framework
Гибкий фреймворк для стратегий семплирования данных в задачах машинного обучения и глубокого обучения.
Особенности
- Универсальность: Работа с временными рядами, табличными данными и гибридными наборами
- Гибкость: Легко расширяемая архитектура с поддержкой пользовательских стратегий
- Производительность: Оптимизированные реализации для больших наборов данных
- Интеграция: Простой API для интеграции в существующие пайплайны
Установка
git clone https://github.com/your-username/sampling-strategies.git
cd sampling-strategies
pip install -e .
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