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

Plot the losses from 'skip_start' and onward

plot_loss(object, skip_start = 5, with_valid = TRUE, dpi = 200)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
model
</td>
</tr>
<tr valign="top">
<td><code>skip_start</code></td>
<td>
n points to skip the start
</td>
</tr>
<tr valign="top">
<td><code>with_valid</code></td>
<td>
with validation
</td>
</tr>
<tr valign="top">
<td><code>dpi</code></td>
<td>
dots per inch
</td>
</tr>
</table>

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

plot_loss

Description

Usage

Arguments

Value

fastai

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`object`	model
`skip_start`	n points to skip the start
`with_valid`	with validation
`dpi`	dots per inch