ecv.save: Custom Functions for Disk I/O in 'EnsembleCV' Package

In EnsembleCV: Extensible Package for Cross-Validation-Based Integration of Base Learners

Description

These functions can be used whether filemethod flag is set to TRUE or FALSE during the epcreg call. Note that ecv.load ‘returns’ the estimation object (in contrast to the standard load method).

Usage

ecv.save(obj, file)
ecv.load(file)

Arguments

obj	Object of classes "ecv.regression" and "ecv.file", usually the output of call to function ecv.regression with filemethod flag set to TRUE.
file	Filepath to where obj must be saved to / loaded from.

Value

Function ecv.load returns the saved obj, with estimation files automatically copied to R temporary directory, and filepaths inside the obj fields updated to point to these new filepaths.

Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani

See Also

ecv.regression

Examples

## Not run: 
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,]

est <- ecv.regression(myformula, data.train, ncores=2, filemethod=TRUE
  , baselearner.control=ecv.regression.baselearner.control(baselearners="knn"))
ecv.save(est, "somefile")
rm(est) # alternatively, exit and re-launch R session
est.loaded <- ecv.load("somefile")
newpred <- predict(est.loaded, data.predict)

# can also be used with filemethod set to FALSE
est <- ecv.regression(myformula, data.train, ncores=2, filemethod=FALSE
  , baselearner.control=ecv.regression.baselearner.control(baselearners="knn"))
ecv.save(est, "somefile")
rm(est) # alternatively, exit and re-launch R session
est.loaded <- ecv.load("somefile")
newpred <- predict(est.loaded, data.predict)

## End(Not run)

EnsembleCV documentation built on May 1, 2019, 9:12 p.m.