public void initQualityMeasure(double classFrequencies,
Calculates the entropy of the distribution before a split. Therefore the
entropy can be reused for several calculations. Some quality measures, like the information gain, calculate a quality of
a previous distribution compared to a new one. This previous distribution
can be reused. For those cases a init method is provided that enable pre
calculations to increase performance.
public double postProcessMeasure(double qualityMeasure,
The post processing of the gain ration measure normalizes the info gain
with the split info (see c4.5).
Some quality measures need normalization when compared to other
attributes. As this normalization is not required when the quality is
compared inside a single attribute, this method allows to perform post
processing (normalization) of quality measures to avoid a lot of
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