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

Computes non-background accuracy for multiclass segmentation

foreground_acc(inp, targ, bkg_idx = 0, axis = 1)

<table summary="R argblock">
<tr valign="top">
<td><code>inp</code></td>
<td>
predictions
</td>
</tr>
<tr valign="top">
<td><code>targ</code></td>
<td>
targets
</td>
</tr>
<tr valign="top">
<td><code>bkg_idx</code></td>
<td>
bkg_idx
</td>
</tr>
<tr valign="top">
<td><code>axis</code></td>
<td>
axis
</td>
</tr>
</table>

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

foreground_acc

Description

Usage

Arguments

Value

fastai

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`inp`	predictions
`targ`	targets
`bkg_idx`	bkg_idx
`axis`	axis