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>Plot the result of an LR Finder test
(won't work if you didn't do 'lr_find(learn)' before)
</p>

plot_lr_find(object, skip_end = 5, dpi = 250)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>model</p>
</td>
</tr>
<tr valign="top">
<td><code>skip_end</code></td>
<td>
<p>n points to skip the end</p>
</td>
</tr>
<tr valign="top">
<td><code>dpi</code></td>
<td>
<p>dots per inch</p>
</td>
</tr>
</table>

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

plot_lr_find

Description

Usage

Arguments

Value

fastai

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`object`	model
`skip_end`	n points to skip the end
`dpi`	dots per inch