Description Usage Arguments Value See Also Examples
View source: R/paragraph2vec.R
Save a paragraph2vec model as a binary file to disk
1 |
x |
an object of class |
file |
the path to the file where to store the model |
invisibly a logical if the resulting file exists and has been written on your hard disk
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | library(tokenizers.bpe)
data(belgium_parliament, package = "tokenizers.bpe")
x <- subset(belgium_parliament, language %in% "french")
x <- subset(x, nchar(text) > 0 & txt_count_words(text) < 1000)
model <- paragraph2vec(x = x, type = "PV-DM", dim = 100, iter = 20)
model <- paragraph2vec(x = x, type = "PV-DBOW", dim = 100, iter = 20)
path <- "mymodel.bin"
write.paragraph2vec(model, file = path)
model <- read.paragraph2vec(file = path)
vocab <- summary(model, type = "vocabulary", which = "docs")
vocab <- summary(model, type = "vocabulary", which = "words")
embedding <- as.matrix(model, which = "docs")
embedding <- as.matrix(model, which = "words")
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