get_hamming_loss: Hamming loss
In fastrtext: 'fastText' Wrapper for Text Classification and Word Representation

Description Usage Arguments Value Examples

Compute the hamming loss. When there is only one category, this measure the accuracy.

1	get_hamming_loss(labels, predictions)

`labels`	list of labels
`predictions`	list returned by the predict command (including both the probability and the categories)

a scalar with the loss

library(fastrtext)
data("test_sentences")
model_test_path <- system.file("extdata", "model_classification_test.bin", package = "fastrtext")
model <- load_model(model_test_path)
sentences <- test_sentences[, "text"]
test_labels <- test_sentences[, "class.text"]
predictions <- predict(model, sentences)
get_hamming_loss(as.list(test_labels), predictions)