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

A transform that before_call its state at each '__call__'

RandTransform(p = 1, nm = NULL, before_call = NULL, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>p</code></td>
<td>
probability
</td>
</tr>
<tr valign="top">
<td><code>nm</code></td>
<td>
nm
</td>
</tr>
<tr valign="top">
<td><code>before_call</code></td>
<td>
before call
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
additional arguments to pass
</td>
</tr>
</table>

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

RandTransform

Description

Usage

Arguments

Value

fastai

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`p`	probability
`nm`	nm
`before_call`	before call
`...`	additional arguments to pass