org.processmining.nlplogutils.algorithms.analysis.feature

Class BoundaryEventSpreadProvider

java.lang.Object

org.processmining.nlplogutils.algorithms.analysis.feature.BoundaryEventSpreadProvider

All Implemented Interfaces:

ContextFeatureProvider

public class BoundaryEventSpreadProvider
extends java.lang.Object
implements ContextFeatureProvider

Created by andreas on 2/21/17.

Constructor Summary

Constructors

Constructor and Description
BoundaryEventSpreadProvider()

Method Summary

Modifier and Type	Method and Description
double[]	computeFeature(org.apache.commons.collections4.MultiSet<Context> equalContexts) Extracts a feature from the context.
int	getNumberOfResultFeatures() If a feature provider computes 1 feature, it return 1, if 2, then 2.

Methods inherited from class java.lang.Object

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

Constructor Detail

BoundaryEventSpreadProvider

public BoundaryEventSpreadProvider()

Method Detail

computeFeature

public double[] computeFeature(org.apache.commons.collections4.MultiSet<Context> equalContexts)

Description copied from interface: ContextFeatureProvider

Extracts a feature from the context. A context is an int[] where individual event classes are encoded as integers. A typical context of an event would be a symmetric window of size 4. Let us consider the trace (with event ids in brackets): a(1), b(2), c(3), b(2), d(4), e(5) A symmetric window context of event c in this trace would be: {1,2,2,4} b has two occurrences. Therefore, it has two contexts: {-1,1,3,2}, and {2,3,4,5}. Contexts can be defined left, right, or symmetric. See ContextParameters.WindowType

Specified by:

computeFeature in interface ContextFeatureProvider

Parameters:

equalContexts - a preprocessed bag/multiset of contexts

Returns:

some feature of this context depending on the subclass.

getNumberOfResultFeatures

public int getNumberOfResultFeatures()

Description copied from interface: ContextFeatureProvider

If a feature provider computes 1 feature, it return 1, if 2, then 2. :) This is useful, as some feature providers need to to complex computation and can provide a number of results based on that See for example the HighDimClusteringProvider that returns the number of clusters and a cluster variance metric.

Specified by:

getNumberOfResultFeatures in interface ContextFeatureProvider

Returns: