Module datarush.analytics
Package com.pervasive.datarush.analytics.cluster

Interface AggregationFunction

All Known Implementing Classes:
AggregationFunctionConstants
public interface AggregationFunction
Interface for aggregation functions computing distance/similarity of two vectors according to the PMML specification.

  • Method Details

    • apply

      double apply(CompareFunction[] compareFunctions, double[] cluster, double[] data, double[] fieldWeights, double[] missingValueWeights, double[] similarityScales, double pParameter)
      Applies this AggregationFunction. Computes the distance/similarity of two vectors. Compare function, field weights, missing value weights and similarity scales at index i must correspond to cluster and data vector values at the same index.
      Parameters:
      compareFunctions - the CompareFunctions to measure distance/similarity between the vectors
      cluster - the cluster seeds
      data - the data vector
      fieldWeights - field weights for each field/its values
      missingValueWeights - missing value weights for each field/its values
      similarityScales - similarity scales for each field/its values
      pParameter - the p-parameter, only used by the Minkowski function
      Returns:
      the aggregation value computed by this function

    • name

      String name()
      Get the name of this function.

    • is

      boolean is(ComparisonMeasure.Kind kind)
      Gets whether the passed ComparisonMeasure.Kind is equal to the ComparisonMeasure.Kind of this function;
      Parameters:
      kind - ComparisonMeasure.Kind to be compared with
      Returns:
      true if the provided ComparisonMeasure.Kind is equals to the ComparisonMeasure.Kind of this function