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 |