perplexity: [experimental] Compute perplexity of a model
In wordvector: Word and Document Vector Models
perplexity R Documentation
[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.
data
a quanteda::tokens or quanteda::dfm; the probabilities of words are
tested against occurrences of words in it.
wordvector documentation built on Sept. 12, 2026, 1:07 a.m.
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| perplexity | R Documentation |
[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 |
data |
a quanteda::tokens or quanteda::dfm; the probabilities of words are tested against occurrences of words in it. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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