Spark 3.5.4 ScalaDoc < Back

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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

org.apache.spark.ml.linalg

DenseVector

Companion class DenseVector

object DenseVector extends Serializable

Annotations: @Since( "2.0.0" )
Source: Vectors.scala

Linear Supertypes

Serializable, Serializable, AnyRef, Any

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def unapply(dv: DenseVector): Option[Array[Double]]
Extracts the value array from a dense vector.
Extracts the value array from a dense vector.

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@Since( "2.0.0" )
final def wait(): Unit

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Packages

DenseVector

Companion class DenseVector

object DenseVector extends Serializable

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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Packages

DenseVector 

Companion class DenseVector

object DenseVector extends Serializable

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members

DenseVector