plot.tweaked.suggestion: Plot statistics for suggestion of tweaked instances...

In katokohaku/featureTweakR: Calculate Actionable Feature Tweaking

Description

Plot statistics for suggestion of tweaked instances (population)

Usage

## S3 method for class 'tweaked.suggestion'
plot(x, ..., type = c("absoluteSum", "direction",
  "frequency"), .invisible = FALSE)

Arguments

x	an object returned by tweak().
...	Other arguments passed on to methods. Not currently used.
type	what type of plot should be drawn. Possible types are "absoluteSum" draw baplot for absolute sum of suggestions. "direction" draw boxplot for suggestions among instances. "frequency" draw baplot for total number of tweaked among instances. "absoluteSum" is defult.
.invisible	a logical. If .invisible = TRUE, plot won't be shown.

Value

a list of

• "stats" a data.frame of statistics for each feature.

• "plot" a ggplot object (for replot).

Default is "absoluteSum".

Examples

## Not run: 
X <- iris[, 1:(ncol(iris)-1)]
scaled.X <- scale(X)
true.y <- iris[, ncol(iris)]

rf.iris <- randomForest(scaled.X, true.y, ntree=30)
es.rf <- set.eSatisfactory(forest.rf, ntree = 30, epsiron = 0.3, resample = TRUE)
tweaked <- tweak(es.rf, newdata= scaled.X, label.from = "spam", label.to = "nonspam",
                 .dopar = TRUE)
plot(tweaked)
plot(tweaked, type="a")
plot(tweaked, type="d")
plot(tweaked, type="f")

## End(Not run)

katokohaku/featureTweakR documentation built on May 17, 2019, 11:17 p.m.