Classifier Chain Network for Multi-Label Classification

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Documentation for package ‘CCNR’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

CCNR-package	CCNR: Classifier Chain Network for Multi-Label Classification
amphibians	Presence of amphibian species at Polish water reservoirs
ccn	Fit a Classifier Chain Network
CCNR	CCNR: Classifier Chain Network for Multi-Label Classification
ccn_cv	Cross-validation for a Classifier Chain Network
ccn_exact_match	Exact match ratio scoring function
ccn_hamming_accuracy	Hamming accuracy scoring function
ccn_log_likelihood	Mean log-likelihood scoring function
ccn_macro_f1	Macro-F1 scoring function
ccn_mean_auc	Mean AUC scoring function
ccn_micro_f1	Micro-F1 scoring function
coef.ccn	Extract coefficients from a Classifier Chain Network
coef.ccn_cv	Extract Coefficients from a Cross-validated Classifier Chain Network
conditional_entropy_matrix	Pairwise Conditional Entropies of the Labels
entropy_label_order	Chain Order Derived from the Entropy of the Labels
fitted.ccn	Extract fitted values from a Classifier Chain Network
fitted.ccn_cv	Extract Fitted Values from a Cross-validated Classifier Chain Network
generate_dataset	Generate a synthetic multilabel classification dataset
multilabel_stratified_folds	Stratified fold assignments for multi-label data
predict.ccn	Predict from a Classifier Chain Network
predict.ccn_cv	Predict from a Cross-validated Classifier Chain Network
print.ccn	Print a Classifier Chain Network
print.ccn_cv	Print a Classifier Chain Network Cross-validation
residuals.ccn	Extract residuals from a Classifier Chain Network
summary.ccn	Summarize a Classifier Chain Network
summary.ccn_cv	Summarize Classifier Chain Network Cross-Validation Results