print.ffnn_fit

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 currently supports few to several architectures, namely 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

print.ffnn_fit function

<dl><dt>x</dt>
<dd>An object of class "ffnn_fit"</dd>
<dt>...</dt>
<dd>Additional arguments (unused)</dd></dl>

Arguments

Print method for ffnn_fit objects — print.ffnn_fit

<dl>

<dt>x</dt>
<dd>An object of class "ffnn_fit"</dd>


<dt>...</dt>
<dd>Additional arguments (unused)</dd>

</dl>

print.ffnn_fit: Print method for ffnn_fit objects

Description

Usage

Value

Arguments