Uses of Package
weka.classifiers.meta

Packages that use weka.classifiers.meta

weka.classifiers.meta

Classes in weka.classifiers.meta used by weka.classifiers.meta

MultiSearch
Performs a search of an arbitrary number of parameters of a classifier and chooses the best pair found for the actual filtering and training.
The default MultiSearch is using the following FilteredClassifier setup:
- classifier: LinearRegression, searching for the "Ridge"
- filter: PLSFilter, searching for the "# of Components"
The properties being explored are totally up to the user, it can be a mix of classifier and filter properties, or only classifier ones or only filter ones.

Since the the MultiSearch classifier itself is used as the base object for the setups being generated, one has to prefix the properties with 'classifier.' (referring to MultiSearch's 'classifier' property).
E.g., if you have a FilteredClassifier selected as base classifier, sporting a PLSFilter and you want to explore the number of PLS components, then your property will be made up of the following components:
- classifier: referring to MultiSearch's classifier property
i.e., the FilteredClassifier.
- filter: referring to the FilteredClassifier's property (= PLSFilter)
- numComponents: the actual property of the PLSFilter that we want to modify
And assembled, the property looks like this:
classifier.filter.numComponents

The initial space is worked on with 2-fold CV to determine the values of the parameters for the selected type of evaluation (e.g., accuracy).