Description Usage Arguments See Also Examples
Generates a 4x3 histogram panel plot using the optimization result from optimize.features.
1 2 3 4 | features.plot(R,
first = FALSE,
para = c(5, 40, 50, 10, 10, 10, 10, 5, 1, 5, 5, 5, 10),
skip=FALSE,column=4,row=3)
|
R |
Output from optimize.features |
first |
If TRUE, plot only the first replicate. If FALSE, plot results from all independent replicates. |
para |
The default feature weights to be plotted in the histogram. |
skip |
If TRUE, inlcude a 13th histogram for the SkipCost parameter. |
column |
Number of parameter histogram plots in each row |
row |
Number of parameter histogram plots in each column |
generate.training,optimize.features
1 2 3 4 5 | data<-data.frame(dog=c('dog','perro'),cat=c('cat','gato'),rat=c('rat','rata'))
M1<-generate.training(raw.data=data,search.size=100,table=FALSE)
M2<-optimize.features(set=M1,ranking=c(1,1,1),
num=20,step=5,replication=2,list=TRUE)
features.plot(M2)
|
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