Class

org.apache.spark.ml.clustering

GaussianMixtureSummary

Related Doc: package clustering

Permalink

class GaussianMixtureSummary extends ClusteringSummary

:: Experimental :: Summary of GaussianMixture.

Annotations: @Since( "2.0.0" ) @Experimental()
Source: GaussianMixture.scala

Linear Supertypes

ClusteringSummary, Serializable, Serializable, AnyRef, Any

Ordering

Alphabetic
By Inheritance

Inherited

GaussianMixtureSummary
ClusteringSummary
Serializable
Serializable
AnyRef
Any

Hide All
Show All

Visibility

Public
All

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[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
lazy val cluster: DataFrame

Cluster centers of the transformed data.
Cluster centers of the transformed data.

Definition Classes
ClusteringSummary
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

Name for column of features in predictions.
Name for column of features in predictions.

Definition Classes
ClusteringSummary
def finalize(): Unit

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

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val k: Int

Number of clusters.
Number of clusters.

Definition Classes
ClusteringSummary
val logLikelihood: Double

Total log-likelihood for this model on the given data.
Total log-likelihood for this model on the given data.

Annotations
@Since( "2.2.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val predictionCol: String

Name for column of predicted clusters in predictions.
Name for column of predicted clusters in predictions.

Definition Classes
ClusteringSummary
val predictions: DataFrame

DataFrame produced by model.transform().
DataFrame produced by model.transform().

Definition Classes
ClusteringSummary
lazy val probability: DataFrame

Probability of each cluster.
Probability of each cluster.

Annotations
@Since( "2.0.0" )
val probabilityCol: String

Name for column of predicted probability of each cluster in predictions.
Name for column of predicted probability of each cluster in predictions.

Annotations
@Since( "2.0.0" )
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
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( ... )

Inherited from ClusteringSummary

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members