predict-basemodel

predict.ffnn_fit

predict.rnn_fit

Predict method for kindling basemodel fits

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

predict-basemodel function

<dl><dt>object</dt>
<dd>An object of class <code>"ffnn_fit"</code> or <code>"rnn_fit"</code>.</dd>
<dt>newdata</dt>
<dd>Data frame. New data for predictions. If <code>NULL</code>, uses the
original training data (if available).</dd>
<dt>new_data</dt>
<dd>Alternative to newdata (for consistency with hardhat).</dd>
<dt>type</dt>
<dd>Character. Type of prediction:<ul>
<li><code>"response"</code> (default) – predicted values or predicted classes</li>
<li><code>"prob"</code> – class probabilities (only for classification models)</li>
</ul></dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

Predict method for kindling basemodel fits — predict-basemodel

<dl>

<dt>object</dt>
<dd>An object of class <code>"ffnn_fit"</code> or <code>"rnn_fit"</code>.</dd>


<dt>newdata</dt>
<dd>Data frame. New data for predictions. If <code>NULL</code>, uses the
original training data (if available).</dd>


<dt>new_data</dt>
<dd>Alternative to newdata (for consistency with hardhat).</dd>


<dt>type</dt>
<dd>Character. Type of prediction:<ul>
<li><code>"response"</code> (default) – predicted values or predicted classes</li>
<li><code>"prob"</code> – class probabilities (only for classification models)</li>
</ul></dd>


<dt>...</dt>
<dd>Currently unused.</dd>

</dl>

predict-basemodel: Predict method for kindling basemodel fits

Description

Usage

Value

Arguments