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>Prediction on 'item', fully decoded, loss function decoded and probabilities
</p>

## S3 method for class 'fastai.learner.Learner'
predict(object, row, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>the model</p>
</td>
</tr>
<tr valign="top">
<td><code>row</code></td>
<td>
<p>row</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments to pass</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#predict.fastai.learner.Learner

predict.fastai.learner.Learner

Description

Usage

Arguments

Value

fastai

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`object`	the model
`row`	row
`...`	additional arguments to pass