ColsToNumeric

A schema which specialize on transforming multiple numeric columns to one Tensor. Types of selected columns will be identified according to their [DataType. And type conversions will be done automatically from DataType to T if valid. Currently, DoubleType, FloatType, ShortType, IntegerType, LongType are supported.

T: the type of result Tensor

Linear Supertypes

RowTransformSchema, Serializable, Serializable, AnyRef, Any

Instance Constructors

new ColsToNumeric(schemaKey: String, indices: Seq[Int] = Seq.empty, fieldNames: Seq[String] = Seq.empty)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

schemaKey
key of the schema
indices
indices of selected columns
fieldNames
field names of selected columns

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 fieldNames: Seq[String]

field names of selected columns
field names of selected columns

Definition Classes
ColsToNumeric → RowTransformSchema
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
val indices: Seq[Int]

indices of selected columns
indices of selected columns

Definition Classes
ColsToNumeric → RowTransformSchema
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
val schemaKey: String

key of the schema
key of the schema

Definition Classes
ColsToNumeric → RowTransformSchema
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def transform(input: Seq[Any], fields: Seq[StructField]): Tensor[NumericWildcard]

Transforming Logic of the Schema
Transforming Logic of the Schema
fields
StructFields of selected columns
returns
a result Tensor

Definition Classes
ColsToNumeric → RowTransformSchema
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 Docs: object ColsToNumeric | package datamining

class ColsToNumeric[T] extends RowTransformSchema

Instance Constructors

new ColsToNumeric(schemaKey: String, indices: Seq[Int] = Seq.empty, fieldNames: Seq[String] = Seq.empty)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val fieldNames: Seq[String]

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

val indices: Seq[Int]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val schemaKey: String

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

def toString(): String

def transform(input: Seq[Any], fields: Seq[StructField]): Tensor[NumericWildcard]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from RowTransformSchema

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped