- <init>
default constructor
- canHandleMissing
Checks basic missing value handling of the scheme. If the missing values cause
an exception to be th
- canHandleZeroTraining
Checks whether the scheme can handle zero training instances.
- canPredict
Checks basic prediction of the scheme, for simple non-troublesome datasets.
- correctBuildInitialisation
Checks whether the scheme correctly initialises models when buildClusterer is
called. This test call
- datasetIntegrity
Checks whether the scheme alters the training dataset during training. If the
scheme needs to modify
- declaresSerialVersionUID
tests for a serialVersionUID. Fails in case the scheme doesn't declare a UID.
- getNumInstances
- instanceWeights
Checks whether the clusterer can handle instance weights. This test compares the
clusterer performan
- makeTestDataset
Make a simple set of instances with variable position of the class attribute,
which can later be mod
- multiInstanceHandler
Checks whether the scheme handles multi-instance data.
- setClusterer
Set the clusterer for testing.