object
adaptive_boosting_classifier
Adaptive Boosting classifier using C4.5 decision trees as base learners. Implements the SAMME (Stagewise Additive Modeling using a Multi-class Exponential loss function) variant, which supports multi-class classification. Builds an ensemble of weighted decision trees where each subsequent tree focuses on the examples misclassified by previous trees.
Availability:
logtalk_load(adaptive_boosting_classifier(loader))Author: Paulo Moura
Version: 2:0:0
Date: 2026-05-11
Compilation flags:
static, context_switching_callsImports:
Uses:
Remarks:
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Inherited public predicates:
check_classifier/1 check_option/1 check_options/1 classifier_options/2 default_option/1 default_options/1 diagnostic/2 diagnostics/2 export_to_clauses/4 export_to_file/4 learn/2 learn/3 option/2 option/3 predict/3 predict_probabilities/3 print_classifier/1 valid_classifier/1 valid_option/1 valid_options/1
Public predicates
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Protected predicates
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Private predicates
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Operators
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