lightgbm
LightGBM
LightGBM is Microsoft's gradient boosting library. It is often faster and uses less memory than XGBoost due to leaf-wise tree growth.
When to Use
- Huge Datasets: Optimized for efficiency.
- Ranking:
LGBMRankeris excellent for search/recommendation systems.
Core Concepts
Leaf-wise Growth
Grows the tree by splitting the leaf with max loss delta (creates deeper, unbalanced trees) vs Level-wise (balanced).
Histogram-based
Buckets continuous values into discrete bins for speed.
More from g1joshi/agent-skills
template
Expert [skill-name] assistance covering [feature 1], [feature 2], and [feature 3]. Use when [working with X], [debugging Y], or [implementing Z].
34mariadb
MariaDB MySQL-compatible database with Galera clustering. Use for MySQL-compatible database needs.
6claude
Anthropic Claude AI models for analysis and coding. Use for AI assistants.
5javascript
JavaScript ES6+ programming including async/await, DOM manipulation, modules, and Node.js. Use for .js files and web development.
4typescript
TypeScript static typing with interfaces, generics, decorators, and type inference. Use for .ts files.
4python
Python programming with type hints, async/await, decorators, and package management. Use for .py files and data science.
4