Split: Split

In DecisionScients/NLPStudio: Natural Language Processing in Objected Oriented R Environment

Description

Split Splits a corpus into a training, test and optional validation set.

Usage

Split

Arguments

corpus	Corpus object.
name	Character string indicating the name for the cross-validation set.
train	Numeric indicating the proportion of the Corpus to allocate to the training set. Acceptable values are between 0 and 1. The total of the values for the train, validation and test parameters must equal 1.
validation	Numeric indicating the proportion of the Corpus to allocate to the validation set. Acceptable values are between 0 and 1. The total of the values for the train, validation and test parameters must equal 1.
test	Numeric indicating the proportion of the Corpus to allocate to the test set. Acceptable values are between 0 and 1. The total of the values for the train, validation and test parameters must equal 1.
stratify	Logical. If TRUE (default), splits and sampling will be stratefied.
seed	Numeric used to initialize a pseudorandom number generator.

Format

An object of class R6ClassGenerator of length 24.

Details

Splits a corpus into a training, test and optional validation set. These corpora are combined into a single cross-validation set or CVSet object.

Value

CVSet object

Methods

• new()Initializes an object of the Split class.

• execute(x, train = 0.75, validation = 0, test = 0.25, stratify = TRUE, seed = NULL)Executes the corpus splits.

Author(s)

John James, [e-mail]

See Also

Other CorpusStudio Family of Classes: CorpusStudio, KFold, Sample0, Sample, Segment, TokenizerNLP, TokenizerQ, Tokenizer, Token

DecisionScients/NLPStudio documentation built on May 15, 2019, 12:51 p.m.