ordinal_gen

This function is originally from <code>numform::f_ordinal()</code>.

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

ordinal_gen function

<dl><dt>x</dt>
<dd>Vector of numbers. Could be a string equivalent</dd></dl>

Arguments

<div class="sourceCode r"></div><pre><code>kindling:::ordinal_gen(1:10)
</code></pre>
Note: This is not exported into public namespace.
So please, refer to <code>numform::f_ordinal()</code> instead.

This is how you use it

Ordinal Suffixes Generator — ordinal_gen

<dl>

<dt>x</dt>
<dd>Vector of numbers. Could be a string equivalent</dd>

</dl>

<div class="sourceCode r"><pre><code>kindling:::ordinal_gen(1:10)
</code></pre></div>
Note: This is not exported into public namespace.
So please, refer to <code>numform::f_ordinal()</code> instead.

ordinal_gen: Ordinal Suffixes Generator

Description

Usage

Value

Arguments

This is how you use it

References