| 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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