dotmat: Dot product similarity between a vector and matrix
In superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

dotmat

R Documentation

Dot product similarity between a vector and matrix

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.

dotmat(a, b, norm = TRUE)

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

numeric vector containing dot product scores

superml documentation built on May 29, 2024, 1:09 a.m.

superml index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.