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Package

weka.classifiers.functions

Synopsis

Generates a QDA model. The covariance matrices are estimated using maximum likelihood from the per-class data.

This classifier can be found in the discriminantAnalysis package.

Options

The table below describes the options available for QDA.

Option

Description

batchSize

The preferred number of instances to process if batch prediction is being performed. More or fewer instances may be provided, but this gives implementations a chance to specify a preferred batch size.

debug

If set to true, classifier may output additional info to the console.

doNotCheckCapabilities

If set, classifier capabilities are not checked before classifier is built (Use with caution to reduce runtime).

numDecimalPlaces

The number of decimal places to be used for the output of numbers in the model.

ridge

The value of the ridge parameter.

Capabilities

The table below describes the capabilities of QDA.

Capability

Supported

Class

Binary class, Missing class values, Nominal class

Attributes

Numeric attributes

Min # of instances

0