Package index • Rfuzzycoco

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`Rfuzzycoco` `Rfuzzycoco-package`	Rfuzzycoco: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
`compute_optimal_quantile_fuzzy_set_positions()`	computes the optimal fuzzy set positions based on the distribution of the data
`evaluate(<fuzzycoco_fit>)`	evaluate the fuzzy system from a fit on some given data
`evaluate_fuzzy_system()`	evaluate the fuzzy system from a fit on some given data
`example_iris36()`	model parameters and data for the IRIS36 classification example
`example_iris_binary_categorical()`	model parameters and data for the IRIS36 classification example
`example_mtcars()`	model parameters and data for the mtcars regression example
`fit(<fuzzycoco_model>)`	fit the FuzzyCoco model using the formula interface
`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
`fit_xy(<fuzzycoco_model>)`	fit the FuzzyCoco model using the dataframe interface
`fs_rules_to_df()`	format the fuzzy rules as a data frame
`fs_used_vars_to_df()`	extract the usage of the variables by a fuzzy system
`fuzzy_coco_parsnip()`	parsnip model function
`fuzzy_coco_systematic_fit()`	systematic search
`fuzzycoco()`	creates a model for the Fuzzy Coco algorithm
`fuzzycoco_fit_df_hybrid()`	lowest-level implementation of the fitting of a fuzzy coco model using the hybrid engine
`params()`	utility to build the Fuzzy Coco parameters data structure
`predict(<fuzzycoco_fit>)`	predict the outcome on some input data using a fitted model
`predict_fuzzy_system()`	predict the outcome of a fuzzy system on some input data
`stop_engine_if_stalling()`	an utility function to easily generate a stop function that stops when the convergence is stalling
`stop_engine_on_first_of()`	an utility function to easily generate the commonly used `until` parameter, as used by `fuzzycoco_fit_df_hybrid()`

Reference

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