fit_text_tokenizer

Update tokenizer internal vocabulary based on a list of texts or list of
sequences.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

François Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

fit_text_tokenizer function

<dl><dt>object</dt>
<dd>Tokenizer returned by <code>text_tokenizer()</code></dd>
<dt>x</dt>
<dd>Vector/list of strings, or a generator of strings (for
memory-efficiency); Alternatively a list of "sequence" (a sequence is a
list of integer word indices).</dd></dl>

Arguments

Update tokenizer internal vocabulary based on a list of texts or list of
sequences. — fit_text_tokenizer

<dl>

<dt>object</dt>
<dd>Tokenizer returned by <code>text_tokenizer()</code></dd>


<dt>x</dt>
<dd>Vector/list of strings, or a generator of strings (for
memory-efficiency); Alternatively a list of "sequence" (a sequence is a
list of integer word indices).</dd>

</dl>

Update tokenizer internal vocabulary based on a list of texts or list of
sequences.

fit_text_tokenizer: Update tokenizer internal vocabulary based on a list of texts or list of sequences.

Description

Usage

Arguments

See Also