print_default_differences

Prints a formatted table showing differences between fastml and parsnip
defaults for the specified task type.

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

print_default_differences function

<dl><dt>task</dt>
<dd>Task type ("classification", "regression", or "survival").</dd>
<dt>algorithms</dt>
<dd>Optional character vector of algorithms to check.
If NULL, checks all available algorithms for the task.</dd></dl>

Arguments

Print Default Differences Table — print_default_differences

<dl>

<dt>task</dt>
<dd>Task type ("classification", "regression", or "survival").</dd>


<dt>algorithms</dt>
<dd>Optional character vector of algorithms to check.
If NULL, checks all available algorithms for the task.</dd>

</dl>

print_default_differences: Print Default Differences Table

Description

Usage

Value

Arguments