tuneRanger (version 0.5)

restartTuneRanger: restartTuneRanger

Description

Restarts the tuning process if an error occured.

Usage

restartTuneRanger(save.file.path = "optpath.RData", task,
  measure = NULL)

Value

A list with elements

recommended.pars

Recommended hyperparameters.

results

A data.frame with all evaluated hyperparameters and performance and time results for each run.

No model is build.

Arguments

save.file.path

File name in the current working directory to which interim results were saved by tuneRanger.

task

The mlr task created by makeClassifTask or makeRegrTask.

measure

Performance measure that was already used in the original tuneRanger process.

Examples

if (FALSE) {
library(tuneRanger)
library(mlr)

# iris is a bit nonsense here
# A mlr task has to be created in order to use the package
# the already existing iris task is used here
estimateTimeTuneRanger(iris.task)
# temporarily file name to save results
path = tempfile()
res = tuneRanger(iris.task, measure = list(multiclass.brier), num.trees = 1000, 
  num.threads = 8, iters = 70, save.file.path = path)

# Mean of best 5 % of the results
res

# Restart after failing in one of the iterations:
res = restartTuneRanger(save.file.path = path, iris.task, 
measure = list(multiclass.brier))}

Run the code above in your browser using DataCamp Workspace