predict.graphSVM: Predict Method for Graph-SVM Fits

In pathClass: Classification using biological pathways as prior knowledge

Description

Obtains predictions from a fitted graphSVM object.

Usage

  ## S3 method for class 'graphSVM'
predict(object, newdata, type = "response", ...)

Arguments

object	a fitted object of class inheriting from 'graphSVM'
newdata	a matrix with variables to predict
type	response gives the predictions class gives the predicted classes.
...	currently ignored.

Value

the predictions.

Author(s)

Marc Johannes [e-mail]

Examples

## Not run: 
library(pathClass)
data(example_data)
matched <- matchMatrices(x=x, adjacency=adjacency.matrix, mapping=mapping)
dk <- calc.diffusionKernel(L=matched$adjacency, is.adjacency=TRUE, beta=0) # beta should be tuned
fit <- fit.graph.svm(matched$x[1:5,], y[1:5], DEBUG=TRUE, mapping=matched$mapping, 
diffusionKernel=dk)
predict(fit, newdata=matched$x[6:10,])

## End(Not run)

pathClass documentation built on May 29, 2017, 11:44 p.m.