runSVM: Fit a SupportVectorMachines model.

In metamaden/cmlmanuscript: Resource to reproduce manuscript analyses

Description

This function runs support vector machines (SVM) using a SummarizedExperiment object. Credit base code: Sean Maden.

Usage

runSVM(seed, kerneltype = "linear", seset, weightfilt = FALSE)

Arguments

seed	Set a random seed for the SVM run.
kerneltype	Choose the kernel type for the SVM run.
weightfilt	False or numeric float. Float specifies the fraction of absolute weights to retain in the fitted model.
sest	A valid SummarizedExperiment object, including variable for test and training subsets.

Value

A 'resultslist' object containing the fitted model, predictions, and performacne metrics.

metamaden/cmlmanuscript documentation built on Dec. 12, 2019, 7:53 a.m.