OneHotEncoderModel

Class for a one hot encoder model.

One hot encoders are used to vectorize nominal features in preparation for models such as linear regression or logistic regression where binary and not multinomial features are supported in the feature vector.

size: size of the output one hot vectors

Linear Supertypes

Serializable, Serializable, Product, Equals, Model, AnyRef, Any

Instance Constructors

new OneHotEncoderModel(size: Int, dropLast: Boolean = true)

size
size of the output one hot vectors

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
def apply(label: Double): Vector

Turn a labeled feature into a one hot vector.
Turn a labeled feature into a one hot vector.
label
label to convert to a vector
returns
one hot vector representation of label
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

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

Definition Classes
AnyRef
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 inputSchema: StructType

Definition Classes
OneHotEncoderModel → Model
final def isInstanceOf[T0]: Boolean

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def outputSchema: StructType

Definition Classes
OneHotEncoderModel → Model
val size: Int

size of the output one hot vectors
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
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( ... )

Related Doc: package feature

case class OneHotEncoderModel(size: Int, dropLast: Boolean = true) extends Model with Product with Serializable

Instance Constructors

new OneHotEncoderModel(size: Int, dropLast: Boolean = true)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(label: Double): Vector

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val dropLast: Boolean

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def inputSchema: StructType

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def outputSchema: StructType

val size: Int

final def synchronized[T0](arg0: ⇒ T0): T0

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped