Emgu CV Library Documentation
maxCategories Field
NamespacesEmgu.CV.ML.StructureMCvRTParamsmaxCategories

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If a discrete variable, on which the training procedure tries to make a split, takes more than max_categories values, the precise best subset estimation may take a very long time (as the algorithm is exponential). Instead, many decision trees engines (including ML) try to find sub-optimal split in this case by clustering all the samples into max_categories clusters (i.e. some categories are merged together). Note that this technique is used only in N(>2)-class classification problems. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases.
Declaration Syntax
C#Visual BasicVisual C++
public int maxCategories
Public maxCategories As Integer
public:
int maxCategories

Assembly: Emgu.CV.ML (Module: Emgu.CV.ML) Version: 1.0.0.0 (1.0.0.0)