程序包 org.apache.flink.ml.feature.lsh

类 MinHashLSHModelData

java.lang.Object

org.apache.flink.ml.feature.lsh.MinHashLSHModelData

public class MinHashLSHModelData
extends Object

Model data of MinHashLSHModel.

This class also provides classes to save/load model data.

嵌套类概要

嵌套类

修饰符和类型	类	说明
static class	MinHashLSHModelData.ModelDataEncoder	Encoder for MinHashLSHModelData.

字段概要

字段

修饰符和类型	字段	说明
int	numHashFunctionsPerTable
int	numHashTables
int[]	randCoefficientA
int[]	randCoefficientB

构造器概要

构造器

构造器	说明
MinHashLSHModelData()
MinHashLSHModelData(int numHashTables, int numHashFunctionsPerTable, int[] randCoefficientA, int[] randCoefficientB)

方法概要

修饰符和类型	方法	说明
static MinHashLSHModelData	generateModelData(int numHashTables, int numHashFunctionsPerTable, int dim, long seed)
org.apache.flink.ml.linalg.DenseVector[]	hashFunction(org.apache.flink.ml.linalg.Vector vec)	Maps an input feature vector to multiple hash vectors.
double	keyDistance(org.apache.flink.ml.linalg.Vector x, org.apache.flink.ml.linalg.Vector y)	Calculates the distance between two different feature vectors using the corresponding distance metric.

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

字段详细资料

numHashTables

public int numHashTables

numHashFunctionsPerTable

public int numHashFunctionsPerTable

randCoefficientA

public int[] randCoefficientA

randCoefficientB

public int[] randCoefficientB

构造器详细资料

MinHashLSHModelData

public MinHashLSHModelData()

MinHashLSHModelData

public MinHashLSHModelData(int numHashTables,
                           int numHashFunctionsPerTable,
                           int[] randCoefficientA,
                           int[] randCoefficientB)

方法详细资料

generateModelData

public static MinHashLSHModelData generateModelData(int numHashTables,
                                                    int numHashFunctionsPerTable,
                                                    int dim,
                                                    long seed)

hashFunction

public org.apache.flink.ml.linalg.DenseVector[] hashFunction(org.apache.flink.ml.linalg.Vector vec)

Maps an input feature vector to multiple hash vectors.

参数:

vec - input vector.

返回:

the mapping of LSH functions.

keyDistance

public double keyDistance(org.apache.flink.ml.linalg.Vector x,
                          org.apache.flink.ml.linalg.Vector y)

Calculates the distance between two different feature vectors using the corresponding distance metric.

参数:

x - One input vector in the metric space.

y - One input vector in the metric space.

返回:

The distance between x and y.