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

Compute accuracy after expanding 'y_true' to the size of 'y_pred'.

accuracy_thresh_expand(y_pred, y_true, thresh = 0.5, sigmoid = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>y_pred</code></td>
<td>
predictions
</td>
</tr>
<tr valign="top">
<td><code>y_true</code></td>
<td>
actuals
</td>
</tr>
<tr valign="top">
<td><code>thresh</code></td>
<td>
threshold point
</td>
</tr>
<tr valign="top">
<td><code>sigmoid</code></td>
<td>
sigmoid function
</td>
</tr>
</table>

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

accuracy_thresh_expand

Description

Usage

Arguments

Value

fastai

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`y_pred`	predictions
`y_true`	actuals
`thresh`	threshold point
`sigmoid`	sigmoid function