Spark 3.5.3 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 clustering

Definition Classes
ml
BisectingKMeans
BisectingKMeansModel
BisectingKMeansSummary
ClusteringSummary
DistributedLDAModel
GaussianMixture
GaussianMixtureModel
GaussianMixtureSummary
KMeans
KMeansModel
KMeansSummary
LDA
LDAModel
LocalLDAModel
PowerIterationClustering

org.apache.spark.ml.clustering

KMeansSummary

class KMeansSummary extends ClusteringSummary

Summary of KMeans.

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

Linear Supertypes

ClusteringSummary, Serializable, Serializable, AnyRef, Any

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final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
lazy val cluster: DataFrame
Cluster centers of the transformed data.
Cluster centers of the transformed data.

Definition Classes
ClusteringSummary
Annotations
@transient()
lazy val clusterSizes: Array[Long]
Size of (number of data points in) each cluster.
Size of (number of data points in) each cluster.

Definition Classes
ClusteringSummary
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val featuresCol: String

Definition Classes
ClusteringSummary
def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native()
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native()
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val k: Int

Definition Classes
ClusteringSummary
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

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

Definition Classes
AnyRef
Annotations
@native()
val numIter: Int

Definition Classes
ClusteringSummary
Annotations
@Since( "2.4.0" )
val predictionCol: String

Definition Classes
ClusteringSummary
val predictions: DataFrame

Definition Classes
ClusteringSummary
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
val trainingCost: Double

Annotations
@Since( "2.4.0" )
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
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()

Packages

KMeansSummary

class KMeansSummary extends ClusteringSummary

Value Members

Inherited from ClusteringSummary

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members

Packages

KMeansSummary 

class KMeansSummary extends ClusteringSummary

Value Members

Inherited from ClusteringSummary

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members

KMeansSummary