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
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Interface to 'fastai'

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

Pearson correlation coefficient for regression problem

PearsonCorrCoef(
  dim_argmax = NULL,
  activation = "no",
  thresh = NULL,
  to_np = FALSE,
  invert_arg = FALSE,
  flatten = TRUE
)

<table summary="R argblock">
<tr valign="top">
<td><code>dim_argmax</code></td>
<td>
dim_argmax
</td>
</tr>
<tr valign="top">
<td><code>activation</code></td>
<td>
activation
</td>
</tr>
<tr valign="top">
<td><code>thresh</code></td>
<td>
thresh
</td>
</tr>
<tr valign="top">
<td><code>to_np</code></td>
<td>
to_np
</td>
</tr>
<tr valign="top">
<td><code>invert_arg</code></td>
<td>
invert_arg
</td>
</tr>
<tr valign="top">
<td><code>flatten</code></td>
<td>
flatten
</td>
</tr>
</table>

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

PearsonCorrCoef

Description

Usage

Arguments

Value

fastai

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`dim_argmax`	dim_argmax
`activation`	activation
`thresh`	thresh
`to_np`	to_np
`invert_arg`	invert_arg
`flatten`	flatten