save_text_tokenizer: Save a text tokenizer to an external file

In keras: R Interface to 'Keras'

Save a text tokenizer to an external file

Description

Enables persistence of text tokenizers alongside saved models.

Usage

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

Other text tokenization: fit_text_tokenizer(), sequences_to_matrix(), text_tokenizer(), texts_to_matrix(), texts_to_sequences_generator(), texts_to_sequences()

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)


## End(Not run)

keras documentation built on Aug. 16, 2023, 1:07 a.m.