ml‑kernel‑polynomial is a small JavaScript library that implements the polynomial kernel function used in kernel‑based machine‑learning algorithms. It lets developers create a kernel with configurable degree, constant and scale, and compute the dot product of two vectors in the induced feature space via a simple `kernel.compute(x, y)` call. The package is aimed at Node.js/JavaScript developers building or experimenting with kernel methods such as SVMs or kernel PCA.