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

Convenience method for 'Lookahead' with 'RAdam'

ranger(
  p,
  lr,
  mom = 0.95,
  wd = 0.01,
  eps = 1e-06,
  sqr_mom = 0.99,
  beta = 0,
  decouple_wd = TRUE
)

<table summary="R argblock">
<tr valign="top">
<td><code>p</code></td>
<td>
p
</td>
</tr>
<tr valign="top">
<td><code>lr</code></td>
<td>
learning rate
</td>
</tr>
<tr valign="top">
<td><code>mom</code></td>
<td>
momentum
</td>
</tr>
<tr valign="top">
<td><code>wd</code></td>
<td>
weight decay
</td>
</tr>
<tr valign="top">
<td><code>eps</code></td>
<td>
epsilon
</td>
</tr>
<tr valign="top">
<td><code>sqr_mom</code></td>
<td>
sqr momentum
</td>
</tr>
<tr valign="top">
<td><code>beta</code></td>
<td>
beta
</td>
</tr>
<tr valign="top">
<td><code>decouple_wd</code></td>
<td>
decouple weight decay
</td>
</tr>
</table>

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

`p`	p
`lr`	learning rate
`mom`	momentum
`wd`	weight decay
`eps`	epsilon
`sqr_mom`	sqr momentum
`beta`	beta
`decouple_wd`	decouple weight decay

ranger

Description

Usage

Arguments

Value

fastai

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