- <init>
- addMissing
Add missing values to a dataset.
- canEstimate
Checks basic estimation of one attribute of the scheme, for simple
non-troublesome datasets.
- canHandleClassAsNthAttribute
Checks whether the scheme can handle class attributes as Nth attribute.
- canHandleMissing
Checks basic missing value handling of the scheme. If the missing values cause
an exception to be th
- canHandleNClasses
Checks whether nominal schemes can handle more than two classes. If a scheme is
only designed for tw
- canSplitUpClass
Checks basic estimation of one attribute of the scheme, for simple
non-troublesome datasets.
- canTakeOptions
Checks whether the scheme can take command line options.
- compareDatasets
Compare two datasets to see if they differ.
- correctBuildInitialisation
Checks whether the scheme correctly initialises models when buildEstimator is
called. This test call
- datasetIntegrity
Checks whether the scheme alters the training dataset during training. If the
scheme needs to modify
- doTests
Begin the tests, reporting results to System.out