Index

C D E F G H I L M N O P R S T W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

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

C D E F G H I L M N O P R S T W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form