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C

check(List<CheckResultInterface>, TransMeta, StepMeta, RowMetaInterface, String[], String[], RowMetaInterface) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Check the settings of this step and put findings in a remarks list.
clone() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Clone this step's meta data
constructInstance(RowMetaInterface, Object[], int[], WekaForecastingModel) - Method in class org.pentaho.di.forecasting.WekaForecastingData
Helper method that constructs an Instance to input to the Weka model based on incoming Kettle fields and pre-constructed attribute-to-field mapping data.

D

deSerializeBase64Model(String) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
 

E

equals(Object) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Check for equality

F

findMappings(Instances, RowMetaInterface) - Static method in class org.pentaho.di.forecasting.WekaForecastingData
Finds a mapping between the attributes that a forecasting model has been trained with and the incoming Kettle row format.
fixTypesForTargets(Object[], List<String>, RowMetaInterface) - Method in class org.pentaho.di.forecasting.WekaForecastingData
Fixes the type of forecasted fields (if necessary).

G

generateForecast(RowMetaInterface, RowMetaInterface, WekaForecastingMeta, List<Object[]>, TransMeta, PrintStream...) - Method in class org.pentaho.di.forecasting.WekaForecastingData
Generates a forecast given a forecasting model (sourced from the meta object).
getArtificialTimeStartOffset() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the offset, from the value associated with the last training instance, for the artificial time stamp.
getData() - Method in class org.pentaho.di.forecasting.WekaForecastingDialog
Grab data out of the step meta object
getDialogClassName() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
 
getFields(RowMetaInterface, String, RowMetaInterface[], StepMeta, VariableSpace) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Generates row meta data to represent the fields output by this step
getForecastedFields() - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Get a list of the field names that the encapsulated forecaster can predict.
getHeader() - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Get the header of the Instances that was used build this Weka model
getMappingIndexes() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the mapping from attributes to incoming Kettle fields
getModel() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the forecasting model
getModel() - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Get the forecasting model
getNumStepsToForecast() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the number of steps to forecast into the future
getOutputRowMeta() - Method in class org.pentaho.di.forecasting.WekaForecastingData
Get the meta data for the output format
getRebuildForecaster() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Gets whether the forecaster is to be rebuilt/re-estimated on the the incoming data stream.
getSavedForecasterFileName() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the name of the file to save the forecaster out to.
getSerializedModelFileName() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the filename of the serialized Weka model to load/import from
getStep(StepMeta, StepDataInterface, int, TransMeta, Trans) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get the executing step, needed by Trans to launch a step.
getStepData() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Get a new instance of the appropriate data class.
getXML() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Return the XML describing this (configured) step

H

hashCode() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Hash code method

I

init(StepMetaInterface, StepDataInterface) - Method in class org.pentaho.di.forecasting.WekaForecasting
Initialize the step.
isProducingConfidenceIntervals() - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Returns true if the encapsulated model can and is producing confidence intervals on its forcasted values.

L

loadModelFile() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
 
loadSerializedModel(File, LogChannelInterface) - Static method in class org.pentaho.di.forecasting.WekaForecastingData
Loads a serialized model.
loadXML(Node, List<DatabaseMeta>, Map<String, Counter>) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Loads the meta data for this (configured) step from XML.

M

m_bufferedPrimeData - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_fieldsToForecast - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_isIncrementallyPrimeable - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_isUsingOverlayData - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_model - Variable in class org.pentaho.di.forecasting.WekaForecastingModel
 
m_modelLagMaker - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_outputRowMeta - Variable in class org.pentaho.di.forecasting.WekaForecastingData
 
m_overlayData - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_rebuildModel - Variable in class org.pentaho.di.forecasting.WekaForecasting
rebuild the model on the incoming data before forecasting?
m_timeStampName - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
m_timeStampRowIndex - Variable in class org.pentaho.di.forecasting.WekaForecasting
 
mapIncomingRowMetaData(Instances, RowMetaInterface) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Finds a mapping between the attributes that a forecasting model model has seen during training and the incoming row format.

N

NO_MATCH - Static variable in class org.pentaho.di.forecasting.WekaForecastingData
 

O

onEnvironmentInit() - Method in class org.pentaho.di.forecasting.WekaForecastingLifecycleListener
 
onEnvironmentShutdown() - Method in class org.pentaho.di.forecasting.WekaForecastingLifecycleListener
 
open() - Method in class org.pentaho.di.forecasting.WekaForecastingDialog
Open the dialog
org.pentaho.di.forecasting - package org.pentaho.di.forecasting
 

P

PKG - Static variable in class org.pentaho.di.forecasting.WekaForecastingMeta
 
processRow(StepMetaInterface, StepDataInterface) - Method in class org.pentaho.di.forecasting.WekaForecasting
Process an incoming row of data.

R

readRep(Repository, ObjectId, List<DatabaseMeta>, Map<String, Counter>) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Read this step's configuration from a repository
run() - Method in class org.pentaho.di.forecasting.WekaForecasting
Run is where the action happens!

S

saveRep(Repository, ObjectId, ObjectId) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Save this step's meta data to a repository
saveSerializedModel(WekaForecastingModel, File) - Static method in class org.pentaho.di.forecasting.WekaForecastingData
 
setArtificialTimeStartOffset(String) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set the offset, from the value associated with the last training instance, for the artificial time stamp.
setDefault() - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
 
setHeader(Instances) - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Set the Instances header
setLog(LogChannelInterface) - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Set the log to pass on to the model.
setModel(WekaForecastingModel) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set the forecasting model
setModel(TSForecaster) - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Set the forecasting model
setNumStepsToForecast(String) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set the number of steps to forecast into the future
setOutputRowMeta(RowMetaInterface) - Method in class org.pentaho.di.forecasting.WekaForecastingData
Set the meta data for the output format
setRebuildForecaster(boolean) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set whether to rebuild the forecaster on the incoming data stream.
setSavedForecasterFileName(String) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set the name of the file to save the forecaster out to or null not to save the forecaster.
setSerializedModelFileName(String) - Method in class org.pentaho.di.forecasting.WekaForecastingMeta
Set the file name of the serialized Weka model to load/import from
sortCheck(TSForecaster, Instances) - Method in class org.pentaho.di.forecasting.WekaForecastingData
 

T

toString() - Method in class org.pentaho.di.forecasting.WekaForecastingModel
Return a textual description of the encapsulated forecasting model
TYPE_MISMATCH - Static variable in class org.pentaho.di.forecasting.WekaForecastingData
 

W

WekaForecasting - Class in org.pentaho.di.forecasting
Applies a pre-built weka forecasting model to make a forecast for future time steps.
WekaForecasting(StepMeta, StepDataInterface, int, TransMeta, Trans) - Constructor for class org.pentaho.di.forecasting.WekaForecasting
Creates a new WekaForecasting instance.
WekaForecastingData - Class in org.pentaho.di.forecasting
Holds temporary data and has routines for loading serialized models.
WekaForecastingData() - Constructor for class org.pentaho.di.forecasting.WekaForecastingData
 
WekaForecastingDialog - Class in org.pentaho.di.forecasting
The UI class for the WekaForecasting step
WekaForecastingDialog(Shell, Object, TransMeta, String) - Constructor for class org.pentaho.di.forecasting.WekaForecastingDialog
 
WekaForecastingLifecycleListener - Class in org.pentaho.di.forecasting
 
WekaForecastingLifecycleListener() - Constructor for class org.pentaho.di.forecasting.WekaForecastingLifecycleListener
 
WekaForecastingMeta - Class in org.pentaho.di.forecasting
Contains the meta data for the WekaForecasting step.
WekaForecastingMeta() - Constructor for class org.pentaho.di.forecasting.WekaForecastingMeta
Creates a new WekaForecastingMeta instance.
WekaForecastingModel - Class in org.pentaho.di.forecasting
Abstract wrapper class for a Weka Forecaster.
WekaForecastingModel(TSForecaster) - Constructor for class org.pentaho.di.forecasting.WekaForecastingModel
Creates a new WekaForecastingModel instance.

X

XML_TAG - Static variable in class org.pentaho.di.forecasting.WekaForecastingMeta
 
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