resampleOverfit: Resampling Generating the Necessary Data for Analysis

In jakob-r/mlrOverfit: Detect and Visualize Overfitting Effects

Description

Calls resample with all the arguments that are nesseccary to generate the data for the overfitting analysis.

Usage

resampleOverfit(learner.tuned, task, resampling, measures = NULL, ...)

Arguments

learner.tuned	[Learner] Learner wrapped with [makeTuneWrapper]
task	[Task]
resampling	[ResampleDesc | ResampleInstance ]
measures	[Measure] Only the first measure will be used for analysis
...	[...] Arguments passed do resample

Value

[ResampleOverfitResult]

jakob-r/mlrOverfit documentation built on July 4, 2020, 2:06 a.m.