plotClassifierROC: Diagnostic plots for pathClassifier.
In aiminy/NetPathMiner: NetPathMiner for Biological Network Construction, Path Mining and Visualization
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Diagnostic plots for pathClassifier.
Usage
1
plotClassifierROC(mix)
Arguments
mix
The result from pathClassifier.
Value
Diagnostic plots of the result from pathClassifier.
itemTopROC curves for the posterior probabilities (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.
Author(s)
Timothy Hancock and Ichigaku Takigawa
See Also
Other Path clustering & classification methods: pathClassifier,
pathCluster, pathsToBinary,
plotClusterMatrix,
plotPathClassifier,
plotPathCluster,
predictPathClassifier,
predictPathCluster
Other Plotting methods: colorVertexByAttr,
layoutVertexByAttr,
plotAllNetworks,
plotClusterMatrix,
plotCytoscapeGML,
plotNetwork,
plotPathClassifier, plotPaths
aiminy/NetPathMiner documentation built on May 12, 2019, 3:38 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Diagnostic plots for pathClassifier.
Usage
1 | plotClassifierROC(mix)
|
Arguments
mix |
The result from |
Value
Diagnostic plots of the result from pathClassifier.
itemTopROC curves for the posterior probabilities (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.
Author(s)
Timothy Hancock and Ichigaku Takigawa
See Also
Other Path clustering & classification methods: pathClassifier,
pathCluster, pathsToBinary,
plotClusterMatrix,
plotPathClassifier,
plotPathCluster,
predictPathClassifier,
predictPathCluster
Other Plotting methods: colorVertexByAttr,
layoutVertexByAttr,
plotAllNetworks,
plotClusterMatrix,
plotCytoscapeGML,
plotNetwork,
plotPathClassifier, plotPaths
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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