task.add.random.cols: Add Sampled Noise-Features to Task

In mosmafs: Multi-Objective Simultaneous Model and Feature Selection

Add Sampled Noise-Features to Task

Description

Adds num new features sampled from dist to task. New features are inserted at random positions in the task and named RANDOM.1...RANDOM.[num]

The returned Task has a $orig.features which is a logical vector indicating the features that were originally in the Task.

If the $orig.features slot is already present in the input task, then the output will have added FALSE entries at appropriate positions.

Usage

task.add.random.cols(task, num, dist = rnorm)

Arguments

task	[Task] the input task.
num	[integer(1)] number of noise features to add.
dist	[function] function n -> numeric(n) that samples random noise features.

Value

Task

See Also

Other Artificial Datasets: clonetask(), create.hypersphere.data(), create.linear.data(), create.linear.toy.data(), create.regr.task(), task.add.permuted.cols()

mosmafs documentation built on Nov. 3, 2022, 1:05 a.m.