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>Fit just 'pct' of an epoch, then stop
</p>

ShortEpochCallback(pct = 0.01, short_valid = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>pct</code></td>
<td>
<p>percentage</p>
</td>
</tr>
<tr valign="top">
<td><code>short_valid</code></td>
<td>
<p>short_valid or not</p>
</td>
</tr>
</table>

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

ShortEpochCallback

Description

Usage

Arguments

Value

fastai

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`pct`	percentage
`short_valid`	short_valid or not