dotmat: Dot product similarity between a vector and matrix

In superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

Dot product similarity between a vector and matrix

Description

Computes the dot product between a vector and a given matrix. The vector returned has a dot product similarity value for each row in the matrix.

Usage

dotmat(a, b, norm = TRUE)

Arguments

a	numeric vector
b	numeric matrix
norm	logical, compute normalised dot product, default=True

Value

numeric vector containing dot product scores

superml documentation built on Nov. 14, 2022, 9:05 a.m.