get_parsnip_default_engine

Returns the default engine that parsnip would use for a given algorithm,
allowing comparison with fastml's optimized defaults.

internal

Provides a guarded resampling workflow for training and evaluating machine-learning models.
When the guarded resampling path is used, preprocessing and model fitting are re-estimated within
each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates
with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by
coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight
AutoML-style workflow by automating model training, resampling, and tuning across multiple algorithms,
while keeping evaluation design explicit and user-controlled.

Selcuk Korkmaz

fastml

Guarded Resampling Workflows for Safe and Automated Machine
Learning in R

Dincer Goksuluk

Eda Karaismailoglu

get_parsnip_default_engine function

<dl><dt>algo</dt>
<dd>Character string specifying the algorithm name.</dd>
<dt>task</dt>
<dd>Character string specifying the task type ("classification",
"regression", or "survival").</dd></dl>

Arguments

Get Parsnip Default Engine for an Algorithm — get_parsnip_default_engine

<dl>

<dt>algo</dt>
<dd>Character string specifying the algorithm name.</dd>


<dt>task</dt>
<dd>Character string specifying the task type ("classification",
"regression", or "survival").</dd>

</dl>

get_parsnip_default_engine: Get Parsnip Default Engine for an Algorithm

Description

Usage

Value

Arguments

Details