trainKNN: train k-nearest neighbours model with pca scores as feature...

In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli

Description

train k-nearest neighbours model with pca scores as feature vectors and interaction modes as classifications

Usage

trainKNN(my_train_scores, my_train_modes)

Arguments

my_train_scores	matrix where each row represents a feature vector (gene)
my_train_modes	character vector of length n where each element indicates the interaction mode classification for a gene

Value

caret k-nearest neighbours model

Examples

## Not run: 
knn_model <- trainKNN(my_pca_scores, my_modes)

## End(Not run)

taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.