scikit-learn vs umap-learn
Сравнение двух Agent Skills бок о бок. Выбери подходящий для Claude Code или Claude Desktop.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensi
Use UMAP-learn for nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and
Сравнение
| Параметр | scikit-learn | umap-learn |
|---|---|---|
| Скрипты | есть | нет |
| Разрешённые инструменты | 1 | любые |
| Тип установки | personal | personal |
| Категория | learning | learning |
| Проверен | — | — |
| Лицензия | BSD-3-Clause license | BSD-3-Clause license |
| Автор | K-Dense AI | K-Dense AI |
| Repo | K-Dense-AI/scientific-agent-skills | K-Dense-AI/scientific-agent-skills |
Когда брать scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Когда брать umap-learn
Use UMAP-learn for nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.
Ищешь другое? Все скиллы.