caret (version 6.0-81)

plot.gafs: Plot Method for the gafs and safs Classes

Description

Plot the performance values versus search iteration

Usage

# S3 method for gafs
plot(x, metric = x$control$metric["external"],
  estimate = c("internal", "external"), output = "ggplot", ...)

Arguments

x

an object of class gafs or safs

metric

the measure of performance to plot (e.g. RMSE, accuracy, etc)

estimate

the type of estimate: either "internal" or "external"

output

either "data", "ggplot" or "lattice"

…

options passed to xyplot

Value

Either a data frame, ggplot object or lattice object

Details

The mean (averaged over the resamples) is plotted against the search iteration using a scatter plot.

When output = "data", the unaveraged data are returned with columns for all the performance metrics and the resample indicator.

See Also

gafs, safs, ggplot, xyplot

Examples

# NOT RUN {
# }
# NOT RUN {
set.seed(1)
train_data <- twoClassSim(100, noiseVars = 10)
test_data  <- twoClassSim(10,  noiseVars = 10)

## A short example
ctrl <- safsControl(functions = rfSA,
                    method = "cv",
                    number = 3)

rf_search <- safs(x = train_data[, -ncol(train_data)],
                  y = train_data$Class,
                  iters = 50,
                  safsControl = ctrl)

plot(rf_search)
plot(rf_search,
	 output = "lattice",
	 auto.key = list(columns = 2))

plot_data <- plot(rf_search, output = "data")
summary(plot_data)
    
# }
# NOT RUN {
# }