Vectors (Spark 2.3.2 JavaDoc)

Object
- org.apache.spark.mllib.linalg.Vectors

```
public class Vectors
extends Object
```
Factory methods for Vector. We don't use the name Vector because Scala imports scala.collection.immutable.Vector by default.

Constructor Summary

Constructors
Constructor and Description

Vectors()

Constructors
Constructor and Description
`Vectors()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static Vector`	`dense(double[] values)` Creates a dense vector from a double array.
`static Vector`	`dense(double firstValue, double... otherValues)` Creates a dense vector from its values.
`static Vector`	`dense(double firstValue, scala.collection.Seq<Object> otherValues)` Creates a dense vector from its values.
`static Vector`	`fromJson(String json)` Parses the JSON representation of a vector into a `Vector`.
`static Vector`	`fromML(Vector v)` Convert new linalg type to spark.mllib type.
`static double`	`norm(Vector vector, double p)` Returns the p-norm of this vector.
`static Vector`	`parse(String s)` Parses a string resulted from `Vector.toString` into a `Vector`.
`static Vector`	`sparse(int size, int[] indices, double[] values)` Creates a sparse vector providing its index array and value array.
`static Vector`	`sparse(int size, Iterable<scala.Tuple2<Integer,Double>> elements)` Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.
`static Vector`	`sparse(int size, scala.collection.Seq<scala.Tuple2<Object,Object>> elements)` Creates a sparse vector using unordered (index, value) pairs.
`static double`	`sqdist(Vector v1, Vector v2)` Returns the squared distance between two Vectors.
`static Vector`	`zeros(int size)` Creates a vector of all zeros.

Methods inherited from class Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Vectors
```
public Vectors()
```
- Method Detail
  - dense
```
public static Vector dense(double firstValue,
                           double... otherValues)
```
    Creates a dense vector from its values.
    
    Parameters:
    
    firstValue - (undocumented)
    
    otherValues - (undocumented)
    
    Returns:
    
    (undocumented)
  - dense
```
public static Vector dense(double firstValue,
                           scala.collection.Seq<Object> otherValues)
```
    Creates a dense vector from its values.
    
    Parameters:
    
    firstValue - (undocumented)
    
    otherValues - (undocumented)
    
    Returns:
    
    (undocumented)
  - dense
```
public static Vector dense(double[] values)
```
    Creates a dense vector from a double array.
    
    Parameters:
    
    values - (undocumented)
    
    Returns:
    
    (undocumented)
  - sparse
```
public static Vector sparse(int size,
                            int[] indices,
                            double[] values)
```
    Creates a sparse vector providing its index array and value array.
    
    Parameters:
    
    size - vector size.
    
    indices - index array, must be strictly increasing.
    
    values - value array, must have the same length as indices.
    
    Returns:
    
    (undocumented)
  - sparse
```
public static Vector sparse(int size,
                            scala.collection.Seq<scala.Tuple2<Object,Object>> elements)
```
    Creates a sparse vector using unordered (index, value) pairs.
    
    Parameters:
    
    size - vector size.
    
    elements - vector elements in (index, value) pairs.
    
    Returns:
    
    (undocumented)
  - sparse
```
public static Vector sparse(int size,
                            Iterable<scala.Tuple2<Integer,Double>> elements)
```
    Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.
    
    Parameters:
    
    size - vector size.
    
    elements - vector elements in (index, value) pairs.
    
    Returns:
    
    (undocumented)
  - zeros
```
public static Vector zeros(int size)
```
    Creates a vector of all zeros.
    
    Parameters:
    
    size - vector size
    
    Returns:
    
    a zero vector
  - parse
```
public static Vector parse(String s)
```
    Parses a string resulted from Vector.toString into a Vector.
    
    Parameters:
    
    s - (undocumented)
    
    Returns:
    
    (undocumented)
  - fromJson
```
public static Vector fromJson(String json)
```
    Parses the JSON representation of a vector into a Vector.
    
    Parameters:
    
    json - (undocumented)
    
    Returns:
    
    (undocumented)
  - norm
```
public static double norm(Vector vector,
                          double p)
```
    Returns the p-norm of this vector.
    
    Parameters:
    
    vector - input vector.
    
    p - norm.
    
    Returns:
    
    norm in L^p^ space.
  - sqdist
```
public static double sqdist(Vector v1,
                            Vector v2)
```
    Returns the squared distance between two Vectors.
    
    Parameters:
    
    v1 - first Vector.
    
    v2 - second Vector.
    
    Returns:
    
    squared distance between two Vectors.
  - fromML
```
public static Vector fromML(Vector v)
```
    Convert new linalg type to spark.mllib type. Light copy; only copies references
    
    Parameters:
    
    v - (undocumented)
    
    Returns:
    
    (undocumented)

Class Vectors

Constructor Summary

Method Summary

Methods inherited from class Object

Constructor Detail

Vectors

Method Detail

dense

dense

dense

sparse

sparse

sparse

zeros

parse

fromJson

norm

sqdist

fromML