{SLmetrics}: Machine Learning Performance Evaluation on Steroids
Version 0.3-3
Preface
{SLmetrics} began as a small personal project to learn C++. Over time, as the scope expanded and the number of commits grew, the name stuck, and releasing a fully functioning data science R package became the natural next step.
The primary goal of {SLmetrics} is to be a fast, memory efficient and reliable low-level successor to {MLmetrics}. Current benchmarks in 3 Benchmarking suggets that this goal has, in fact, been achieved. Implementations in {SLmetrics} draws inspirations from well-known libraries such as scikit-learn (Pedregosa et al. (2011)), SciPy (Virtanen et al. (2020)) and PyTorch (Ansel et al. (2024)).
By leveraging C++ under the hood, {SLmetrics} aims to minimize overhead and provide a robust suite of metrics. In the future, we plan to expand its coverage to additional metrics and reinforce integration with established R workflows.