checkFull {DSAM}

Check whether the sample set is full

Description

Built-in function: This function includes four arguments, where the first one contains the information of the original dataset as well as the three subsets, and the remaining three augments are the maximum sample sizes for the training, test and validation subsets respectively.

Usage

checkFull(split.info, num.train, num.test, num.valid)

Arguments

split.info

List type, which contains the original data set, three sampling subsets, termination signal and other relevant sampling information.

num.train

The number of training data points specified by the user.

num.test

The number of test data points specified by the user.

num.valid

The number of validation data points specified by the user.

Value

A list with sampling information.