safe_sample

R's sample() has quirky behavior: sample(5, 1) samples from 1:5, not from c(5).
This function ensures we sample from the actual vector provided.

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

safe_sample function

<dl><dt>x</dt>
<dd>Vector to sample from</dd>
<dt>size</dt>
<dd>Number of samples</dd>
<dt>replace</dt>
<dd>Sample with replacement?</dd></dl>

Arguments

Safe sampling function — safe_sample

<dl>

<dt>x</dt>
<dd>Vector to sample from</dd>


<dt>size</dt>
<dd>Number of samples</dd>


<dt>replace</dt>
<dd>Sample with replacement?</dd>

</dl>

safe_sample: Safe sampling function

Description

Usage

Arguments