extract_depth_param

Extract depth parameter values from n_hlayer argument

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

extract_depth_param function

<dl><dt>n_hlayer</dt>
<dd>Either an integer vector or a param object</dd>
<dt>param_list</dt>
<dd>List of parameters (for extracting n_hlayers if present)</dd>
<dt>levels</dt>
<dd>Number of levels for regular grids</dd></dl>

Arguments

Extract depth parameter values from n_hlayer argument — extract_depth_param

<dl>

<dt>n_hlayer</dt>
<dd>Either an integer vector or a param object</dd>


<dt>param_list</dt>
<dd>List of parameters (for extracting n_hlayers if present)</dd>


<dt>levels</dt>
<dd>Number of levels for regular grids</dd>

</dl>

extract_depth_param: Extract depth parameter values from n_hlayer argument

Description

Usage

Value

Arguments