public class SparseVector extends Object implements Vector
param: size size of the vector. param: indices index array, assume to be strictly increasing. param: values value array, must have the same length as the index array.
Constructor and Description |
---|
SparseVector(int size,
int[] indices,
double[] values) |
Modifier and Type | Method and Description |
---|---|
double |
apply(int i)
Gets the value of the ith element.
|
int |
argmax()
Find the index of a maximal element.
|
SparseVector |
asML()
Convert this vector to the new mllib-local representation.
|
SparseVector |
copy()
Makes a deep copy of this vector.
|
boolean |
equals(Object other) |
static SparseVector |
fromML(SparseVector v)
Convert new linalg type to spark.mllib type.
|
int |
hashCode()
Returns a hash code value for the vector.
|
int[] |
indices() |
int |
numActives()
Number of active entries.
|
int |
numNonzeros()
Number of nonzero elements.
|
int |
size()
Size of the vector.
|
double[] |
toArray()
Converts the instance to a double array.
|
String |
toJson()
Converts the vector to a JSON string.
|
String |
toString() |
static scala.Option<scala.Tuple3<Object,int[],double[]>> |
unapply(SparseVector sv) |
double[] |
values() |
compressed, dot, foreach, foreachActive, foreachNonZero, nonZeroIterator, sparsity, toDense, toSparse
public static scala.Option<scala.Tuple3<Object,int[],double[]>> unapply(SparseVector sv)
public static SparseVector fromML(SparseVector v)
v
- (undocumented)public int size()
Vector
public int[] indices()
public double[] values()
public String toString()
toString
in class Object
public double[] toArray()
Vector
public SparseVector copy()
Vector
public double apply(int i)
Vector
public boolean equals(Object other)
public int hashCode()
Vector
java.util.Arrays.hashCode
.public int numActives()
Vector
numActives
in interface Vector
public int numNonzeros()
Vector
numNonzeros
in interface Vector
public int argmax()
Vector
public String toJson()
Vector
public SparseVector asML()
Vector