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PRTools User Guide



Train combining classifier if needed


 A Training dataset
 W A set of classifiers to be combined
 CCLASSF Combining classifier

 B Combined classifier mapping


The combining classifier CCLASSF is trained by the dataset A*W, if  training is needed. W is typically a set of stacked (operating in the same  feature space) or parallel (operating in different feature spaces;  performed one after another) classifiers to be combined. E.g. if V1, V2 and V3 are base classifiers, then V = [V1,V2,V3,...] is a stacked  classifier and V = [V1;V2;V3;...] is a parallel one. If CCLASSF is one of  the fixed combining rules like MAXC, then training is skipped.

This routine is typically called by combining classifier schemes like  BAGGINGC and BOOSTINGC.

See also

datasets, mappings, stacked, parallel, baggingc,

PRTools Contents

PRTools User Guide

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