Save a text tokenizer to an external file

Enables persistence of text tokenizers alongside saved models.

save_text_tokenizer(object, filename)

load_text_tokenizer(filename)

Arguments

object

Text tokenizer fit with fit_text_tokenizer()

filename

File to save/load

Details

You should always use the same text tokenizer for training and prediction. In many cases however prediction will occur in another session with a version of the model loaded via load_model_hdf5().

In this case you need to save the text tokenizer object after training and then reload it prior to prediction.

See also

Examples

# NOT RUN {
# vectorize texts then save for use in prediction
tokenizer <- text_tokenizer(num_words = 10000) %>%
fit_text_tokenizer(tokenizer, texts)
save_text_tokenizer(tokenizer, "tokenizer")

# (train model, etc.)

# ...later in another session
tokenizer <- load_text_tokenizer("tokenizer")

# (use tokenizer to preprocess data for prediction)

# }