Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

    Definition Classes
    apache
  • package ml

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    Definition Classes
    spark
  • package linalg
    Definition Classes
    ml
  • DenseMatrix
  • DenseVector
  • Matrices
  • Matrix
  • SQLDataTypes
  • SparseMatrix
  • SparseVector
  • Vector
  • Vectors

class DenseVector extends Vector

A dense vector represented by a value array.

Annotations
@Since("2.0.0")
Source
Vectors.scala
Linear Supertypes
Vector, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. DenseVector
  2. Vector
  3. Serializable
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new DenseVector(values: Array[Double])
    Annotations
    @Since("2.0.0")

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(i: Int): Double

    Gets the value of the ith element.

    Gets the value of the ith element.

    i

    index

    Definition Classes
    DenseVector → Vector
  5. def argmax: Int

    Find the index of a maximal element.

    Find the index of a maximal element. Returns the first maximal element in case of a tie. Returns -1 if vector has length 0.

    Definition Classes
    DenseVector → Vector
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
  8. def compressed: Vector

    Returns a vector in either dense or sparse format, whichever uses less storage.

    Returns a vector in either dense or sparse format, whichever uses less storage.

    Definition Classes
    Vector
    Annotations
    @Since("2.0.0")
  9. def copy: DenseVector

    Makes a deep copy of this vector.

    Makes a deep copy of this vector.

    Definition Classes
    DenseVector → Vector
  10. def dot(v: Vector): Double

    Calculate the dot product of this vector with another.

    Calculate the dot product of this vector with another.

    If size does not match an IllegalArgumentException is thrown.

    Definition Classes
    Vector
    Annotations
    @Since("3.0.0")
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(other: Any): Boolean
    Definition Classes
    DenseVector → Vector → AnyRef → Any
  13. def foreachActive(f: (Int, Double) => Unit): Unit

    Applies a function f to all the active elements of dense and sparse vector.

    Applies a function f to all the active elements of dense and sparse vector.

    f

    the function takes two parameters where the first parameter is the index of the vector with type Int, and the second parameter is the corresponding value with type Double.

    Definition Classes
    Vector
    Annotations
    @Since("2.0.0")
  14. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  15. def hashCode(): Int

    Returns a hash code value for the vector.

    Returns a hash code value for the vector. The hash code is based on its size and its first 128 nonzero entries, using a hash algorithm similar to java.util.Arrays.hashCode.

    Definition Classes
    DenseVector → Vector → AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  20. def numActives: Int

    Number of active entries.

    Number of active entries. An "active entry" is an element which is explicitly stored, regardless of its value. Note that inactive entries have value 0.

    Definition Classes
    DenseVector → Vector
  21. def numNonzeros: Int

    Number of nonzero elements.

    Number of nonzero elements. This scans all active values and count nonzeros.

    Definition Classes
    DenseVector → Vector
  22. def size: Int

    Size of the vector.

    Size of the vector.

    Definition Classes
    DenseVector → Vector
  23. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  24. def toArray: Array[Double]

    Converts the instance to a double array.

    Converts the instance to a double array.

    Definition Classes
    DenseVector → Vector
  25. def toDense: DenseVector

    Converts this vector to a dense vector.

    Converts this vector to a dense vector.

    Definition Classes
    Vector
    Annotations
    @Since("2.0.0")
  26. def toSparse: SparseVector

    Converts this vector to a sparse vector with all explicit zeros removed.

    Converts this vector to a sparse vector with all explicit zeros removed.

    Definition Classes
    Vector
    Annotations
    @Since("2.0.0")
  27. def toString(): String
    Definition Classes
    DenseVector → AnyRef → Any
  28. val values: Array[Double]
    Annotations
    @Since("2.0.0")
  29. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  30. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from Vector

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members