Method parameters in org.apache.mahout.math.hadoop.similarity.vector with type arguments of type Cooccurrence |
protected double |
DistributedUncenteredZeroAssumingCosineVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected double |
DistributedUncenteredCosineVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected double |
DistributedTanimotoCoefficientVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected double |
DistributedPearsonCorrelationVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected double |
DistributedLoglikelihoodVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected double |
DistributedEuclideanDistanceVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
protected abstract double |
AbstractDistributedVectorSimilarity.doComputeResult(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
do the actual similarity computation |
double |
DistributedVectorSimilarity.similarity(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
compute the similarity of a pair of row vectors |
double |
DistributedCooccurrenceVectorSimilarity.similarity(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
|
double |
AbstractDistributedVectorSimilarity.similarity(int rowA,
int rowB,
java.lang.Iterable<Cooccurrence> cooccurrences,
double weightOfVectorA,
double weightOfVectorB,
int numberOfColumns)
ensures that the computed similarity is in [-1,1] |