sample_combinations: Helper function to sample a combination of training and...

Description Usage Arguments Value Author(s)

View source: R/sampling.R

Description

Helper function to sample a combination of training and testing rows, which does not risk getting the same observation twice. Need to improve this help file.

Usage

1
sample_combinations(ntrain, ntest, nsamples, joint_sampling = TRUE)

Arguments

ntrain

Positive integer. Number of training observations to sample from.

ntest

Positive integer. Number of test observations to sample from.

nsamples

Positive integer. Number of samples.

joint_sampling

Logical. Indicates whether train- and test data should be sampled separately or in a joint sampling space. If they are sampled separately (which typically would be used when optimizing more than one distribution at once) we sample with replacement if nsamples > ntrain. Note that this solution is not optimal. Be careful if you're doing optimization over every test observation when nsamples > ntrain.

Value

data.frame

Author(s)

Martin Jullum


shapr documentation built on Jan. 28, 2021, 5:06 p.m.