fit_to_df

a one-row overview of a fuzzy system with the usage of variables, the fitness, number of generations and optionally
a metric

Provides and extends the 'Fuzzy Coco' algorithm by wrapping the
'FuzzyCoCo' 'C++' Library, cf
<https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco'
constructs systems that predict the outcome of a human decision-making
process while providing an understandable explanation of a possible
reasoning leading to it. The constructed fuzzy systems are composed
of rules and linguistic variables. This package provides a 'S3' classic
interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip'
interface, a custom engine with custom iteration stop criterion and
progress bar support as well as a systematic implementation that do
not rely on genetic programming but rather explore all possible
combinations.

Karl Forner

Rfuzzycoco

Provides an R Interface to the 'FuzzyCoCo' C++ Library and
Extends It

fit_to_df function

<dl><dt>fit</dt>
<dd>a fit object, as returned by [fit.</dd>
<dt>metric</dt>
<dd>an optional metric name to report (e.g. <code>rmse</code>)</dd></dl>

Arguments

a one-row overview of a fuzzy system with the usage of variables, the fitness, number of generations and optionally
a metric — fit_to_df

<dl>

<dt>fit</dt>
<dd>a fit object, as returned by [fit.</dd>


<dt>metric</dt>
<dd>an optional metric name to report (e.g. <code>rmse</code>)</dd>

</dl>

fit_to_df: a one-row overview of a fuzzy system with the usage of variables, the fitness, number of generations and optionally a metric

Description

Usage

Value

Arguments

See Also

Examples