perplexity: [experimental] Compute perplexity of a model

In wordvector: Word and Document Vector Models

[experimental] Compute perplexity of a model

Description

Compute the perplexity of a trained word2vec model with data.

Usage

perplexity(x, targets, data, layer = c("words", "documents"))

Arguments

x	a trained textmodel_wordvector object.
targets	words for which probabilities are computed.
data	a quanteda::tokens or quanteda::dfm; the probabilities of words are tested against occurrences of words in it.
layer	the layer based on which probabilities are computed.

wordvector documentation built on July 28, 2026, 5:09 p.m.