train_svm: Output SVM model results over multiple folds

In awqx/qsarr: Useful Functions for Building a QSAR in R

Description

Output SVM model results over multiple folds

Usage

train_svm(folds, kernel, param, fold_avg = T)

Arguments

folds	A list of folds (training data)
kernel	The SVM kernel
param	A list of the parameters that can be passed to the SVM. Requires that the list names are the model's arguments.
fold_avg	Default TRUE. Returns the average RMSE and R2 for the set of folds. Set as F to retain individual performance.

Value

Either a data frame of the averaged results or a data frame of the individual performance on each fold.

awqx/qsarr documentation built on Oct. 2, 2021, 7:05 a.m.