nim Composition Space Optimization是一种高性能工具，利用元编程来实现用于选择组合数据集中的组件（数据维度）的几种方法，以优化机器学习等应用的数据可用性和密度。
nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning. (2024-03-05, Nim, 0KB, 下载0次)