org.processmining.nlplogutils.algorithms.analysis.feature

Interface ContextFeatureProvider

All Known Implementing Classes:

BoundaryEventSpreadProvider, DifferentClassContextProvider, EntropyContextProvider, HighDimClusteringProvider, HighDimClusteringSumOfVariancesProvider, SetAbstractionContextProvider

public interface ContextFeatureProvider

Created by andreas on 2/21/17.

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.

Method Detail

computeFeature

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

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

Parameters:

equalContexts - a preprocessed bag/multiset of contexts

Returns:

some feature of this context depending on the subclass.

getNumberOfResultFeatures

int getNumberOfResultFeatures()

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.

Returns: