Class

org.apache.spark.mllib.feature

PCAModel

Related Doc: package feature

Permalink

class PCAModel extends VectorTransformer

Model fitted by PCA that can project vectors to a low-dimensional space using PCA.

Annotations: @Since( "1.4.0" )
Source: PCA.scala

Linear Supertypes

VectorTransformer, Serializable, Serializable, AnyRef, Any

Ordering

Alphabetic
By Inheritance

Inherited

PCAModel
VectorTransformer
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( ... )
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
val explainedVariance: DenseVector

Annotations
@Since( "1.6.0" )
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 principal components.
number of principal components.

Annotations
@Since( "1.4.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val pc: DenseMatrix

a principal components Matrix.
a principal components Matrix. Each column is one principal component.

Annotations
@Since( "1.4.0" )
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def transform(vector: Vector): Vector

Transform a vector by computed Principal Components.
Transform a vector by computed Principal Components.
vector
vector to be transformed. Vector must be the same length as the source vectors given to PCA.fit().
returns
transformed vector. Vector will be of length k.

Definition Classes
PCAModel → VectorTransformer
Annotations
@Since( "1.4.0" )
def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

Applies transformation on a JavaRDD[Vector].
Applies transformation on a JavaRDD[Vector].
data
JavaRDD[Vector] to be transformed.
returns
transformed JavaRDD[Vector].

Definition Classes
VectorTransformer
Annotations
@Since( "1.1.0" )
def transform(data: RDD[Vector]): RDD[Vector]

Applies transformation on an RDD[Vector].
Applies transformation on an RDD[Vector].
data
RDD[Vector] to be transformed.
returns
transformed RDD[Vector].

Definition Classes
VectorTransformer
Annotations
@Since( "1.1.0" )
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( ... )

Inherited from VectorTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped