ISTSparseCandidateModel (DMLab Library API for 0.0.4-SNAPSHOT)

All Known Implementing Classes:

SparseGenLikeliModel
```
public interface ISTSparseCandidateModel
```
Interface for classes that are used as a candidate for matching evaluator.

Author:

Dustin Kempton, Data Mining Lab, Georgia State University

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`getCandidateProb(smile.math.matrix.DenseMatrix errorMatCandidate, org.locationtech.jts.geom.Envelope origWindow, org.locationtech.jts.geom.Envelope candidateWindow)`	Gets the likelihood value of the target candidate being a correct match based upon the error of the recreation matrix.

- Method Detail
  - getCandidateProb
```
double getCandidateProb(smile.math.matrix.DenseMatrix errorMatCandidate,
                        org.locationtech.jts.geom.Envelope origWindow,
                        org.locationtech.jts.geom.Envelope candidateWindow)
```
    Gets the likelihood value of the target candidate being a correct match based upon the error of the recreation matrix.
    
    Parameters:
    
    errorMatCandidate - The error of the recreation matrix of the target candidate used to calculate the likelihood
    
    origWindow - The original area used to determine how much the candidate needs to scale to match
    
    candidateWindow - The target candidate area we are interested in.
    
    Returns:
    
    The likelihood value of the target candidate being correct, based on the recreation error.