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 mllib

RDD-based machine learning APIs (in maintenance mode).

The spark.mllib package is in maintenance mode as of the Spark 2.0.0 release to encourage migration to the DataFrame-based APIs under the org.apache.spark.ml package. While in maintenance mode,

no new features in the RDD-based spark.mllib package will be accepted, unless they block implementing new features in the DataFrame-based spark.ml package;
bug fixes in the RDD-based APIs will still be accepted.

The developers will continue adding more features to the DataFrame-based APIs in the 2.x series to reach feature parity with the RDD-based APIs. And once we reach feature parity, this package will be deprecated.

Definition Classes: spark
See also: SPARK-4591 to track the progress of feature parity

package regression

Definition Classes: mllib

GeneralizedLinearAlgorithm

GeneralizedLinearModel

IsotonicRegression

IsotonicRegressionModel

LabeledPoint

LassoModel

LassoWithSGD

LinearRegressionModel

LinearRegressionWithSGD

RegressionModel

RidgeRegressionModel

RidgeRegressionWithSGD

StreamingLinearAlgorithm

StreamingLinearRegressionWithSGD

org.apache.spark.mllib.regression

LabeledPoint

Companion object LabeledPoint

case class LabeledPoint(label: Double, features: Vector) extends Product with Serializable

Class that represents the features and labels of a data point.

label: Label for this data point.
features: List of features for this data point.

Annotations: @Since( "0.8.0" )
Source: LabeledPoint.scala

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

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LabeledPoint
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Instance Constructors

new LabeledPoint(label: Double, features: Vector)
label
Label for this data point.
features
List of features for this data point.

Annotations
@Since( "1.0.0" )

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native() @IntrinsicCandidate()
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val features: Vector

Annotations
@Since( "1.0.0" )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native() @IntrinsicCandidate()
def getFeatures: Vector
def getLabel: Double
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val label: Double

Annotations
@Since( "0.8.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native() @IntrinsicCandidate()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native() @IntrinsicCandidate()
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
LabeledPoint → AnyRef → Any
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Deprecated Value Members

def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] ) @Deprecated
Deprecated

Packages

LabeledPoint

Companion object LabeledPoint

case class LabeledPoint(label: Double, features: Vector) extends Product with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

LabeledPoint 

Companion object LabeledPoint

case class LabeledPoint(label: Double, features: Vector) extends Product with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped

LabeledPoint