Package | Description |
---|---|
weka.classifiers.timeseries.eval |
Modifier and Type | Class and Description |
---|---|
class |
DACModule
An evaluation module that computes the accuracy of the direction
of forecasted values.
|
class |
ErrorModule
Superclass of error-based evaluation modules.
|
class |
MAEModule
An evaluation module that computes the mean absolute error
of forecasted values.
|
class |
MAPEModule
Computes the mean absolute percentage error
|
class |
MSEModule
An evaluation module that computes the mean squared error
of forecasted values.
|
class |
RAEModule
An evaluation module that computes the relative absolute error
of forecasted values.
|
class |
RMSEModule
An evaluation module that computes the root mean squared error
of forecasted values.
|
class |
RRSEModule
An evaluation module that computes the root relative squared error
of forecasted values.
|
Modifier and Type | Method and Description |
---|---|
static TSEvalModule |
TSEvalModule.getModule(String moduleName)
Factory method for obtaining a named evaluation module.
|
Modifier and Type | Method and Description |
---|---|
List<TSEvalModule> |
TSEvaluation.getEvaluationModules()
Get the evaluation modules in use
|
static List<TSEvalModule> |
TSEvalModule.getModuleList()
Gets a list of known evaluation modules.
|
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