The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

Calls optional 'setup' on 'tok' before launching 'TokenizeWithRules' using 'parallel_gen

parallel_tokenize(items, tok = NULL, rules = NULL, n_workers = 6)

<table summary="R argblock">
<tr valign="top">
<td><code>items</code></td>
<td>
items
</td>
</tr>
<tr valign="top">
<td><code>tok</code></td>
<td>
tokenizer
</td>
</tr>
<tr valign="top">
<td><code>rules</code></td>
<td>
rules
</td>
</tr>
<tr valign="top">
<td><code>n_workers</code></td>
<td>
n_workers
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#parallel_tokenize

parallel_tokenize

Description

Usage

Arguments

Value

fastai

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`items`	items
`tok`	tokenizer
`rules`	rules
`n_workers`	n_workers