infomat.evaluation
Class ExtrinsicGroupEvaluation
java.lang.Object
infomat.evaluation.ExtrinsicGroupEvaluation
public class ExtrinsicGroupEvaluation
- extends java.lang.Object
For calculating extrinsic quality measures per IObjectGroup.
Method Summary |
private void |
constructConfusionMatrix(IObjectGrouping evalGrouping,
IObjectGrouping refGrouping)
|
Measure |
entropy(IObjectGroup iog)
|
java.util.HashMap<IObjectGroup,Measure> |
getGroupEntropyMap()
|
java.util.HashMap<IObjectGroup,Measure> |
getGroupNormEntropyMap()
|
static MultiMeasure |
getGroupPartPurity(IObjectGroup group,
IObjectGrouping grouping,
float[] partSplitValues)
partSplitValues should contain ordered values between 0 and 1 representing subparts of the entire group. |
static java.util.HashMap<IObjectGroup,Measure> |
getGroupPartPurityMap(IObjectGrouping evalGrouping,
IObjectGrouping refGrouping,
float[] partSplitValues)
|
static Measure |
getGroupPurity(IObjectGroup group,
IObjectGrouping grouping)
|
java.util.HashMap<IObjectGroup,Measure> |
getGroupPurityMap()
|
Measure |
normEntropy(IObjectGroup iog)
|
Measure |
purity(IObjectGroup iog)
|
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
evalGrouping
private IObjectGrouping evalGrouping
refGrouping
private IObjectGrouping refGrouping
confusionMatrix
private DoubleHashMap confusionMatrix
ExtrinsicGroupEvaluation
public ExtrinsicGroupEvaluation(IObjectGrouping evalGrouping,
IObjectGrouping refGrouping)
ExtrinsicGroupEvaluation
protected ExtrinsicGroupEvaluation(DoubleHashMap confusionMatrix,
IObjectGrouping evalGrouping,
IObjectGrouping refGrouping)
constructConfusionMatrix
private void constructConfusionMatrix(IObjectGrouping evalGrouping,
IObjectGrouping refGrouping)
getGroupPurityMap
public java.util.HashMap<IObjectGroup,Measure> getGroupPurityMap()
getGroupEntropyMap
public java.util.HashMap<IObjectGroup,Measure> getGroupEntropyMap()
getGroupNormEntropyMap
public java.util.HashMap<IObjectGroup,Measure> getGroupNormEntropyMap()
purity
public Measure purity(IObjectGroup iog)
entropy
public Measure entropy(IObjectGroup iog)
normEntropy
public Measure normEntropy(IObjectGroup iog)
getGroupPartPurityMap
public static java.util.HashMap<IObjectGroup,Measure> getGroupPartPurityMap(IObjectGrouping evalGrouping,
IObjectGrouping refGrouping,
float[] partSplitValues)
getGroupPurity
public static Measure getGroupPurity(IObjectGroup group,
IObjectGrouping grouping)
getGroupPartPurity
public static MultiMeasure getGroupPartPurity(IObjectGroup group,
IObjectGrouping grouping,
float[] partSplitValues)
- partSplitValues should contain ordered values between 0 and 1 representing subparts of the entire group.
Purity is calculated for the corresponding subparts of the entire ordered group.
For instance, for a group consisting of 100 IObjects with partSplitValues [0.25, 0.5, 0.75],
the purity is calculated for the 25 top IObjects, the 50 top IObjects, and the 75 top IObjects
respectively.
For a part purity calculation
consecutive values in partSplitValues should yield a difference of at least 1 IObject.
This means that part purity calculations on small groups might lead to surprising results.
- Parameters:
group
- grouping
- partSplitValues
-
- Returns: