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

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Documentation for package ‘Rfuzzycoco’ version 0.1.0

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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
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*
fuzzy_coco_parsnip parsnip model function
fuzzy_coco_systematic_fit systematic search
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
Rfuzzycoco Rfuzzycoco: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
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()'