Package weka.datagenerators

Class Summary

BIRCHCluster	Cluster data generator designed for the BIRCH System Dataset is generated with instances in K clusters.
ClusterGenerator	Abstract class for cluster data generators.
Generator	Abstract class for data generators.
RDG1	Class to generate data randomly by producing a decision list.
Test	Class to represent a test. The string representation of the test can be supplied in standard notation or for a subset of types of attributes in Prolog notation. Following examples for all possible tests that can be represented by this class, given in standard notation. Examples of tests for numeric attributes: B >= 2.333 B < 4.56 Examples of tests for nominal attributes with more then 2 values: A = rain A != rain Examples of tests for nominal attribute with exactly 2 values: A = false A = true The Prolog notation is only supplied for numeric attributes and for nominal attributes that have the values "true" and "false". Following examples for the Prolog notation provided. Examples of tests for numeric attributes: The same as for standard notation above. Examples of tests for nominal attributes with values "true"and "false": A not(A) (Other nominal attributes are not supported by the Prolog notation.)