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

competition_submit(file_name, message, competition, quiet = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>file_name</code></td>
<td>
<p>the competition metadata file</p>
</td>
</tr>
<tr valign="top">
<td><code>message</code></td>
<td>
<p>the submission description</p>
</td>
</tr>
<tr valign="top">
<td><code>competition</code></td>
<td>
<p>the competition name</p>
</td>
</tr>
<tr valign="top">
<td><code>quiet</code></td>
<td>
<p>suppress verbose output (default is FALSE)</p>
</td>
</tr>
</table>

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

competition_submit

Description

Usage

Arguments

Value

fastai

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`file_name`	the competition metadata file
`message`	the submission description
`competition`	the competition name
`quiet`	suppress verbose output (default is FALSE)