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

<p>Create function that splits 'items' between train/val with 'valid_pct' randomly.
</p>

RandomSplitter(valid_pct = 0.2, seed = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>valid_pct</code></td>
<td>
<p>validation percenatge split</p>
</td>
</tr>
<tr valign="top">
<td><code>seed</code></td>
<td>
<p>random seed</p>
</td>
</tr>
</table>

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

RandomSplitter

Description

Usage

Arguments

Value

fastai

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`valid_pct`	validation percenatge split
`seed`	random seed