save_text_tokenizer: Save a text tokenizer to an external file
In dfalbel/keras: R Interface to 'Keras'

Description Usage Arguments Details See Also Examples

Enables persistence of text tokenizers alongside saved models.

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save_text_tokenizer(object, filename)

load_text_tokenizer(filename)

`object`	Text tokenizer fit with `fit_text_tokenizer()`
`filename`	File to save/load

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.

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

## 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)