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

Convert 'func' from sklearn$metrics to a fastai metric

skm_to_fastai(
  func,
  is_class = TRUE,
  thresh = NULL,
  axis = -1,
  activation = NULL,
  ...
)

<table summary="R argblock">
<tr valign="top">
<td><code>func</code></td>
<td>
function
</td>
</tr>
<tr valign="top">
<td><code>is_class</code></td>
<td>
is classification or not
</td>
</tr>
<tr valign="top">
<td><code>thresh</code></td>
<td>
threshold point
</td>
</tr>
<tr valign="top">
<td><code>axis</code></td>
<td>
axis
</td>
</tr>
<tr valign="top">
<td><code>activation</code></td>
<td>
activation
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
additional arguments to pass
</td>
</tr>
</table>

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

skm_to_fastai

Description

Usage

Arguments

Value

fastai

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`func`	function
`is_class`	is classification or not
`thresh`	threshold point
`axis`	axis
`activation`	activation
`...`	additional arguments to pass