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

<p>Create a 'DataLoaders' object from 'source'
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>model</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional parameters to pass</p>
</td>
</tr>
</table>

## Not run: 

dls = TabularDataTable(df, procs, cat_names, cont_names,
y_names = dep_var, splits = list(tr_idx, ts_idx) ) %>%
  dataloaders(bs = 50)


## End(Not run)

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

dataloaders

Description

Usage

Arguments

Examples

fastai

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`object`	model
`...`	additional parameters to pass