Regression.CV.Batch.Fit: CV Batch Training and Diagnostics of Regression Base Learners

In EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling

Description

CV Batch Training and Diagnostics of Regression Base Learners.

Usage

Regression.CV.Batch.Fit(instance.list, formula, data
  , ncores = 1, filemethod = FALSE, print.level = 1
  , preschedule = TRUE
  , schedule.method = c("random", "as.is", "task.length")
  , task.length)
## S3 method for class 'Regression.CV.Batch.FitObj'
predict(object, ..., ncores=1
  , preschedule = TRUE)
## S3 method for class 'Regression.CV.Batch.FitObj'
plot(x, errfun=rmse.error, ylim.adj = NULL, ...)

Arguments

instance.list	An object of class Instance.List, containing all combinations of base learner configurations and data partitions to perform CV batch training.
formula	Formula object expressing response variable and covariates.
data	Data frame expressing response variable and covariates.
ncores	Number of cores in parallel training.
filemethod	Boolean flag, indicating whether to save estimation objects to file or not.
print.level	Verbosity level.
preschedule	Boolean flag, indicating whether parallel jobs must be scheduled statically (TRUE) or dynamically (FALSE).
schedule.method	Method used for scheduling tasks across threads. In as.is, tasks are distributed in round-robin fashion. In random, tasks are randomly shuffled before round-robin distribution. In task.length, estimated task execution times are used to allocate them to threads to maximize load balance.
task.length	Estimation task execution times, to be used for loading balancing during parallel execution.
object	Output of Regression.CV.Batch.Fit, object of class Regression.CV.Batch.FitObj.
...	Arguments passed from/to other functions.
x	Object of class Regression.CV.Batch.FitObj, to creates a plot from.
errfun	Error function used in generating plot.
ylim.adj	Optional numeric argument to use for adjusting the range of y-axis.

Value

Function Regression.CV.Batch.Fit produces an object of class Regression.CV.Batch.FitObj. The predict method produces a matrix, whose columns each represent training-set predictions from one of the batch of base learners (in CV fashion).

Author(s)

Alireza S. Mahani, Mansour T.A. Sharabiani

See Also

Regression.CV.Batch.FitObj

Examples

data(servo)
myformula <- class~motor+screw+pgain+vgain

perc.train <- 0.7
index.train <- sample(1:nrow(servo)
  , size = round(perc.train*nrow(servo)))
data.train <- servo[index.train,]
data.predict <- servo[-index.train,]

parts <- generate.partitions(1, nrow(data.train))
myconfigs <- make.configs("knn"
  , config.df = expand.grid(kernel = "rectangular", k = c(5, 10)))
instances <- make.instances(myconfigs, parts)

ret <- Regression.CV.Batch.Fit(instances, myformula, data.train)
newpred <- predict(ret, data.predict)

EnsembleBase documentation built on May 2, 2019, 2:10 p.m.