Gsvmod: G SVM models.

In malani: Machine Learning Assisted Network Inference

Description

Returns accuracy performance of all genes. G support vector machine (SVM) classifiers trained using G different data matrixes, are used to predict labels in test data. Models are ranked based on prediction performances.

Usage

Gsvmod(dat.train, lab.train, dat.test, lab.test)

Arguments

dat.train	Train data with G features and (k-1)*S/k samples. Parameter k comes from cross-validation scheme and is specified by user (default is 2).
lab.train	Class labels for train data.
dat.test	Test data with G features and S/k samples.
lab.test	Class labels for test data.

Value

Accuracy scores for models. Each model represents one gene.

malani documentation built on May 2, 2019, 12:21 p.m.