OneHotEncodingTransformer

Instance Constructors

new OneHotEncodingTransformer(pivotsWithFeatures: Seq[OneHotEncodedFeature])

Type Members

type Row = Seq[Any]

Shorthand for the input / output type of the apply method.
Shorthand for the input / output type of the apply method. Equivalent to Seq[Any].

Definition Classes
Transformer

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 allowNullValues: Boolean

Allows the transformer to specify if the apply method can handle null values in the input row.
Allows the transformer to specify if the apply method can handle null values in the input row.
e.g. a Null value replacement transformer, or a Naive Bayes transformer would naturally handle null values, but a Linear Regression transformer would not.
Default value is false.
returns
Boolean indicating tolerance for null values in input.

Definition Classes
Transformer
def apply(row: Row): Row

This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.
This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.
This method is not required to be thread-safe.
row
The row of input to be scored.
returns
The result from applying the trained model to the row.

Definition Classes
OneHotEncodingTransformer → Transformer
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 finalize(): Unit

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

Definition Classes
AnyRef → Any
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
lazy val outputDim: Int
val pivotsWithFeatures: Seq[OneHotEncodedFeature]
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 preprocess

case class OneHotEncodingTransformer(pivotsWithFeatures: Seq[OneHotEncodedFeature]) extends Transformer with Product with Serializable

Instance Constructors

new OneHotEncodingTransformer(pivotsWithFeatures: Seq[OneHotEncodedFeature])

Type Members

type Row = Seq[Any]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def allowNullValues: Boolean

def apply(row: Row): Row

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val outputDim: Int

val pivotsWithFeatures: Seq[OneHotEncodedFeature]

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 Product

Inherited from Equals

Inherited from Transformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped