Package eu.qualimaster.easy.extension.internal

Class AlgorithmPredictionEx

java.lang.Object

eu.qualimaster.easy.extension.internal.AlgorithmPredictionEx

All Implemented Interfaces:

net.ssehub.easy.instantiation.core.model.vilTypes.IVilType

public class AlgorithmPredictionEx
extends Object
implements net.ssehub.easy.instantiation.core.model.vilTypes.IVilType

Extended multi-algorithm mass prediction with varying parameters. The name is a reminiscence to Microsoft interfaces.

Author:

Holger Eichelberger

Constructor Summary

Constructors

Constructor	Description
AlgorithmPredictionEx()

Method Summary

Modifier and Type	Method	Description
static AlgorithmPredictionResult	algorithmPredictionEx(String pipeline, String pipelineElement, net.ssehub.easy.instantiation.core.model.vilTypes.Set<String> algorithms, net.ssehub.easy.instantiation.core.model.vilTypes.Set<eu.qualimaster.observables.IObservable> observables)	Creates a request to obtain the prediction for multiple algorithms applicable in this in this situation (including varying parameters).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

AlgorithmPredictionEx

public AlgorithmPredictionEx()

Method Details

algorithmPredictionEx

public static AlgorithmPredictionResult algorithmPredictionEx(String pipeline,
 String pipelineElement,
 net.ssehub.easy.instantiation.core.model.vilTypes.Set<String> algorithms,
 net.ssehub.easy.instantiation.core.model.vilTypes.Set<eu.qualimaster.observables.IObservable> observables)

Creates a request to obtain the prediction for multiple algorithms applicable in this in this situation (including varying parameters).

Parameters:

pipeline - the pipeline to predict for

pipelineElement - the pipeline element

algorithms - the algorithms to take into account

observables - the observables

Returns:

the predictions per algorithm/observables, if not possible individual predictions may be null or the entire result may be null if there is no prediction at all