Plot Method for the gafs and safs Classes
Plot the performance values versus search iteration
## S3 method for class 'gafs'
plot(
x,
metric = x$control$metric["external"],
estimate = c("internal", "external"),
output = "ggplot",
...
)
## S3 method for class 'gafs'
ggplot(data = NULL, mapping = NULL, ..., environment = NULL)
## S3 method for class 'safs'
ggplot(data = NULL, mapping = NULL, ..., environment = NULL)x |
|
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" |
... |
For |
data, mapping, environment |
kept for consistency with
|
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.
Either a data frame, ggplot object or lattice object
Max Kuhn
## 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)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.