substitute_dot

Recursively Substitute . with Expression

internal

Provides a higher-level interface to the 'torch' package for defining,
training, and fine-tuning neural networks, including its depth, powered by code generation.
This package supports few to several architectures, including feedforward (multi-layer perceptron)
and recurrent neural networks (Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU)),
while also reduces boilerplate 'torch' code while enabling seamless integration with 'torch'. The model methods
to train neural networks from this package also bridges to titanic ML frameworks in R, namely
'tidymodels' ecosystem, which enables the 'parsnip' model specifications, workflows, recipes,
and tuning tools.

Joshua Marie

kindling

Higher-Level Interface of 'torch' Package to Auto-Train Neural
Networks

Antoine Soetewey

substitute_dot function

<dl><dt>expr</dt>
<dd>Expression containing <code>.</code> placeholders</dd>
<dt>replacement</dt>
<dd>Expression to substitute for <code>.</code></dd></dl>

Arguments

Recursively Substitute . with Expression — substitute_dot

<dl>

<dt>expr</dt>
<dd>Expression containing <code>.</code> placeholders</dd>


<dt>replacement</dt>
<dd>Expression to substitute for <code>.</code></dd>

</dl>

substitute_dot: Recursively Substitute . with Expression

Description

Usage

Value

Arguments