C D E F G H I L M N O P R S T U W X
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C

check(List<CheckResultInterface>, TransMeta, StepMeta, RowMetaInterface, String[], String[], RowMetaInterface) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Check the settings of this step and put findings in a remarks list.

classifyInstance(Instance) - Method in class org.pentaho.di.scoring.WekaScoringModel

Return a classification.

classifyInstances(Instances) - Method in class org.pentaho.di.scoring.WekaScoringModel

Batch scoring method.

clone() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Clone this step's meta data

createScorer(Object) - Static method in class org.pentaho.di.scoring.WekaScoringModel

Static factory method to create an instance of an appropriate subclass of WekaScoringModel given a Weka model.

D

DEFAULT_BATCH_SCORING_SIZE - Static variable in class org.pentaho.di.scoring.WekaScoringMeta

Batch scoring size

deSerializeBase64Model(String) - Method in class org.pentaho.di.scoring.WekaScoringMeta

distributionForInstance(Instance) - Method in class org.pentaho.di.scoring.WekaScoringModel

Return a probability distribution (over classes or clusters).

distributionsForInstances(Instances) - Method in class org.pentaho.di.scoring.WekaScoringModel

Batch scoring method.

done() - Method in class org.pentaho.di.scoring.WekaScoringModel

Tell the model that this scoring run is finished.

E

equals(Object) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Check for equality

F

findMappings(Instances, RowMetaInterface) - Static method in class org.pentaho.di.scoring.WekaScoringData

Finds a mapping between the attributes that a Weka model has been trained with and the incoming Kettle row format.

G

generatePrediction(RowMetaInterface, RowMetaInterface, Object[], WekaScoringMeta) - Method in class org.pentaho.di.scoring.WekaScoringData

Generates a prediction (more specifically, an output row containing all input Kettle fields plus new fields that hold the prediction(s)) for an incoming Kettle row given a Weka model.

generatePredictions(RowMetaInterface, RowMetaInterface, List<Object[]>, WekaScoringMeta) - Method in class org.pentaho.di.scoring.WekaScoringData

Generates a batch of predictions (more specifically, an array of output rows containing all input Kettle fields plus new fields that hold the prediction(s)) for each incoming Kettle row given a Weka model.

getBatchScoringSize() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the batch size to use if the model is a batch scoring model

getCacheLoadedModels() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get whether to cache loaded models in memory

getData() - Method in class org.pentaho.di.scoring.WekaScoringDialog

Grab data out of the step meta object

getDefaultModel() - Method in class org.pentaho.di.scoring.WekaScoringData

Get the default model for this copy of the step to use.

getDefaultModel() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Gets the default model (only used when model file names are being sourced from a field in the incoming rows).

getDialogClassName() - Method in class org.pentaho.di.scoring.WekaScoringMeta

getFieldNameToLoadModelFrom() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the name of the incoming field that holds paths to model files

getFields(RowMetaInterface, String, RowMetaInterface[], StepMeta, VariableSpace) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Generates row meta data to represent the fields output by this step

getFileNameFromField() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get whether filename is coming from an incoming field

getHeader() - Method in class org.pentaho.di.scoring.WekaScoringModel

Get the header of the Instances that was used build this Weka model

getModel() - Method in class org.pentaho.di.scoring.WekaScoringData

Get the model that this copy of the step is using

getModel() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the Weka model

getModel() - Method in class org.pentaho.di.scoring.WekaScoringModel

Get the weka model

getOutputProbabilities() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get whether to predict probabilities

getOutputRowMeta() - Method in class org.pentaho.di.scoring.WekaScoringData

Get the meta data for the output format

getSavedModelFileName() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the file name that the incrementally updated model will be saved to when the current stream of data terminates

getSerializedModelFileName() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the filename of the serialized Weka model to load/import from

getStep(StepMeta, StepDataInterface, int, TransMeta, Trans) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get the executing step, needed by Trans to launch a step.

getStepData() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get a new instance of the appropriate data class.

getStoreModelInStepMetaData() - Method in class org.pentaho.di.scoring.WekaScoringMeta

getUpdateIncrementalModel() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Get whether the model is to be incrementally updated with each incoming row (after making a prediction for it).

getXML() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Return the XML describing this (configured) step

getXML(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

H

hashCode() - Method in class org.pentaho.di.scoring.WekaScoringMeta

Hash code method

I

init(StepMetaInterface, StepDataInterface) - Method in class org.pentaho.di.scoring.WekaScoring

Initialize the step.

isBatchPredictor() - Method in class org.pentaho.di.scoring.WekaScoringModel

Returns true if the encapsulated Weka model can produce predictions in a batch.

isSupervisedLearningModel() - Method in class org.pentaho.di.scoring.WekaScoringModel

Returns true if the encapsulated Weka model is a supervised model (i.e.

isUpdateableModel() - Method in class org.pentaho.di.scoring.WekaScoringModel

Returns true if the encapsulated Weka model can be updated incrementally in an instance by instance fashion.

L

loadModelFile() - Method in class org.pentaho.di.scoring.WekaScoringMeta

loadSerializedModel(String, LogChannelInterface, VariableSpace) - Static method in class org.pentaho.di.scoring.WekaScoringData

Loads a serialized model.

loadXML(Node, List<DatabaseMeta>, Map<String, Counter>) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Loads the meta data for this (configured) step from XML.

LogAdapter - Class in org.pentaho.di.scoring

Adapts Kettle logging to Weka's Logger interface

LogAdapter(LogChannelInterface) - Constructor for class org.pentaho.di.scoring.LogAdapter

logMessage(String) - Method in class org.pentaho.di.scoring.LogAdapter

M

m_defaultModel - Variable in class org.pentaho.di.scoring.WekaScoringData

Holds a default model - only used when model files are sourced from a field in the incoming data rows.

m_model - Variable in class org.pentaho.di.scoring.WekaScoringData

Holds the actual Weka model (classifier, clusterer or PMML) used by this copy of the step

m_outputRowMeta - Variable in class org.pentaho.di.scoring.WekaScoringData

the output data format

m_updateIncrementalModel - Variable in class org.pentaho.di.scoring.WekaScoringData

whether to update the model (if incremental)

mapIncomingRowMetaData(Instances, RowMetaInterface, boolean, LogChannelInterface) - Method in class org.pentaho.di.scoring.WekaScoringData

Finds a mapping between the attributes that a Weka model has been trained with and the incoming Kettle row format.

modelFileExists(String, VariableSpace) - Static method in class org.pentaho.di.scoring.WekaScoringData

N

NO_MATCH - Static variable in class org.pentaho.di.scoring.WekaScoringData

some constants for various input field - attribute match/type problems

O

onEnvironmentInit() - Method in class org.pentaho.di.scoring.WekaScoringLifecycleListener

onEnvironmentShutdown() - Method in class org.pentaho.di.scoring.WekaScoringLifecycleListener

open() - Method in class org.pentaho.di.scoring.WekaScoringDialog

Open the dialog

org.pentaho.di.scoring - package org.pentaho.di.scoring

outputBatchRows() - Method in class org.pentaho.di.scoring.WekaScoring

P

PKG - Static variable in class org.pentaho.di.scoring.WekaScoringMeta

processRow(StepMetaInterface, StepDataInterface) - Method in class org.pentaho.di.scoring.WekaScoring

Process an incoming row of data.

R

readRep(Repository, ObjectId, List<DatabaseMeta>, Map<String, Counter>) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Read this step's configuration from a repository

S

saveRep(Repository, ObjectId, ObjectId) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Save this step's meta data to a repository

saveSerializedModel(WekaScoringModel, File) - Static method in class org.pentaho.di.scoring.WekaScoringData

setBatchScoringSize(String) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set the batch size to use if the model is a batch scoring model

setCacheLoadedModels(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set whether to cache loaded models in memory

setDefault() - Method in class org.pentaho.di.scoring.WekaScoringMeta

setDefaultModel(WekaScoringModel) - Method in class org.pentaho.di.scoring.WekaScoringData

Set the default model for this copy of the step to use.

setDefaultModel(WekaScoringModel) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Sets the default model (only used when model file names are being sourced from a field in the incoming rows).

setFieldNameToLoadModelFrom(String) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set the name of the incoming field that holds paths to model files

setFileNameFromField(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set whether filename is coming from an incoming field

setHeader(Instances) - Method in class org.pentaho.di.scoring.WekaScoringModel

Set the Instances header

setLog(LogChannelInterface) - Method in class org.pentaho.di.scoring.WekaScoringModel

Set the log to pass on to the model.

setModel(Object) - Method in class org.pentaho.di.scoring.WekaScoringModel

Set the weka model

setModel(WekaScoringModel) - Method in class org.pentaho.di.scoring.WekaScoringData

Set the model for this copy of the step to use

setModel(WekaScoringModel) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set the Weka model

setOutputProbabilities(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set whether to predict probabilities

setOutputRowMeta(RowMetaInterface) - Method in class org.pentaho.di.scoring.WekaScoringData

Set the meta data for the output format

setSavedModelFileName(String) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set the file name that the incrementally updated model will be saved to when the current stream of data terminates

setSerializedModelFileName(String) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set the file name of the serialized Weka model to load/import from

setStoreModelInStepMetaData(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

setUpdateIncrementalModel(boolean) - Method in class org.pentaho.di.scoring.WekaScoringMeta

Set whether to update the model incrementally

statusMessage(String) - Method in class org.pentaho.di.scoring.LogAdapter

T

TYPE_MISMATCH - Static variable in class org.pentaho.di.scoring.WekaScoringData

U

update(Instance) - Method in class org.pentaho.di.scoring.WekaScoringModel

Update (if possible) a model with the supplied Instance

W

WekaScoring - Class in org.pentaho.di.scoring

Applies a pre-built weka model (classifier or clusterer) to incoming rows and appends predictions.

WekaScoring(StepMeta, StepDataInterface, int, TransMeta, Trans) - Constructor for class org.pentaho.di.scoring.WekaScoring

Creates a new WekaScoring instance.

WekaScoringData - Class in org.pentaho.di.scoring

Holds temporary data and has routines for loading serialized models.

WekaScoringData() - Constructor for class org.pentaho.di.scoring.WekaScoringData

WekaScoringDialog - Class in org.pentaho.di.scoring

The UI class for the WekaScoring transform

WekaScoringDialog(Shell, Object, TransMeta, String) - Constructor for class org.pentaho.di.scoring.WekaScoringDialog

WekaScoringLifecycleListener - Class in org.pentaho.di.scoring

WekaScoringLifecycleListener() - Constructor for class org.pentaho.di.scoring.WekaScoringLifecycleListener

WekaScoringMeta - Class in org.pentaho.di.scoring

Contains the meta data for the WekaScoring step.

WekaScoringMeta() - Constructor for class org.pentaho.di.scoring.WekaScoringMeta

Creates a new WekaScoringMeta instance.

WekaScoringModel - Class in org.pentaho.di.scoring

Abstract wrapper class for a Weka model.

WekaScoringModel(Object) - Constructor for class org.pentaho.di.scoring.WekaScoringModel

Creates a new WekaScoringModel instance.

X

XML_TAG - Static variable in class org.pentaho.di.scoring.WekaScoringMeta

C D E F G H I L M N O P R S T U W X
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