availableMethods

Returns a character vector of algorithm names available for either classification or regression tasks.

Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.

Selcuk Korkmaz

fastml

Fast Machine Learning Model Training and Evaluation

Dincer Goksuluk

Eda Karaismailoglu

availableMethods function

<dl><dt>type</dt>
<dd>A character string specifying the type of task. Must be either <code>"classification"</code> or <code>"regression"</code>. Defaults to <code>c("classification", "regression")</code> and uses <code><a href="/link/match.arg?package=fastml&version=0.5.0" data-mini-rdoc="fastml::match.arg">match.arg</a></code> to select one.</dd>
<dt>...</dt>
<dd>Additional arguments (currently not used).</dd></dl>

Arguments

Get Available Methods — availableMethods

<dl>

<dt>type</dt>
<dd>A character string specifying the type of task. Must be either <code>"classification"</code> or <code>"regression"</code>. Defaults to <code>c("classification", "regression")</code> and uses <code><a href='https://rdrr.io/r/base/match.arg.html'>match.arg</a></code> to select one.</dd>


<dt>...</dt>
<dd>Additional arguments (currently not used).</dd>

</dl>

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availableMethods: Get Available Methods

Description

Usage

Value

Arguments

Details