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

icevision_RandomSplitter(probs, seed = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>probs</code></td>
<td>
<p>'Sequence' of probabilities that must sum to one. The length of
the 'Sequence' is the number of groups to to split the items into.</p>
</td>
</tr>
<tr valign="top">
<td><code>seed</code></td>
<td>
<p>Internal seed used for shuffling the items. Define this if you need reproducible results.</p>
</td>
</tr>
</table>

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

icevision_RandomSplitter

Description

Usage

Arguments

Value

fastai

We don't support your browser anymore

`probs`	'Sequence' of probabilities that must sum to one. The length of the 'Sequence' is the number of groups to to split the items into.
`seed`	Internal seed used for shuffling the items. Define this if you need reproducible results.