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 the model on this learner with 'lr' learning rate, 'wd' weight decay for 'epochs' with 'callbacks'.
</p>

## S3 method for class 'fastai.tabular.learner.TabularLearner'
fit(object, ...)

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

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#fit.fastai.tabular.learner.TabularLearner

fit.fastai.tabular.learner.TabularLearner

Description

Usage

Arguments

Value

fastai

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`object`	model
`...`	additional arguments