pathClassifier.
plotClassifierROC(mix)pathClassifier.mix\$posterior.probs)
and for each HME3M component (mix\$h). This gives information about what response
label each relates to. A ROC curve with an AUC < 0.5 relates to y = 0.
Conversely ROC curves with AUC > 0.5 relate to y = 1.
itemBottomThe likelihood convergence history for the HME3M model. If the parameters
alpha or lambda are set too large then the likelihood may decrease.
pathClassifier;
pathCluster; pathsToBinary;
plotClusterMatrix,
plotClusterProbs,
plotClusters;
plotPathClassifier;
plotPathCluster;
predictPathClassifier;
predictPathClusterOther Plotting methods: colorVertexByAttr;
layoutVertexByAttr;
plotAllNetworks;
plotClusterMatrix,
plotClusterProbs,
plotClusters; plotCytoscape,
plotCytoscapeGML;
plotNetwork;
plotPathClassifier; plotPaths