CsvRowCreator

A transformer that takes a value of a specified input type that produces string-based CSV data.

A: the input type that is transformed into CSV output.
features: a representation of the features used to generate the row ouput.
headers: note that the dimensionality of this vector is equal to the dimensionality of the output vector produced by features rather than the number of features used to produce the vector. This is because categorical variables can be expanded in different ways based on the com.eharmony.aloha.dataset.csv.encoding.Encoding used.
separator: the field separator

Linear Supertypes

Product, Equals, RowCreator[A, CharSequence], Serializable, Serializable, (A) ⇒ (MissingAndErroneousFeatureInfo, CharSequence), AnyRef, Any

Instance Constructors

new CsvRowCreator(features: FeatureExtractorFunction[A, String], headers: Vector[String], separator: String = ",")

features
a representation of the features used to generate the row ouput.
headers
note that the dimensionality of this vector is equal to the dimensionality of the output vector produced by features rather than the number of features used to produce the vector. This is because categorical variables can be expanded in different ways based on the com.eharmony.aloha.dataset.csv.encoding.Encoding used.
separator
the field separator

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 andThen[A](g: ((MissingAndErroneousFeatureInfo, CharSequence)) ⇒ A): (A) ⇒ A

Definition Classes
Function1
Annotations
@unspecialized()
def apply(data: A): (MissingAndErroneousFeatureInfo, String)

Definition Classes
CsvRowCreator → Function1
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def compose[A](g: (A) ⇒ A): (A) ⇒ (MissingAndErroneousFeatureInfo, CharSequence)

Definition Classes
Function1
Annotations
@unspecialized()
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val features: FeatureExtractorFunction[A, String]

a representation of the features used to generate the row ouput.
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 headerString: String

returns
A string containing all the headers associated with the CSV rows created by this RowCreator.
val headers: Vector[String]

note that the dimensionality of this vector is equal to the dimensionality of the output vector produced by features rather than the number of features used to produce the vector.
note that the dimensionality of this vector is equal to the dimensionality of the output vector produced by features rather than the number of features used to produce the vector. This is because categorical variables can be expanded in different ways based on the com.eharmony.aloha.dataset.csv.encoding.Encoding used.
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 separator: String

the field separator
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Function1 → 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( ... )

Related Docs: object CsvRowCreator | package csv

final case class CsvRowCreator[-A](features: FeatureExtractorFunction[A, String], headers: Vector[String], separator: String = ",") extends CharSeqRowCreator[A] with Product with Serializable

Instance Constructors

new CsvRowCreator(features: FeatureExtractorFunction[A, String], headers: Vector[String], separator: String = ",")

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def andThen[A](g: ((MissingAndErroneousFeatureInfo, CharSequence)) ⇒ A): (A) ⇒ A

def apply(data: A): (MissingAndErroneousFeatureInfo, String)

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def compose[A](g: (A) ⇒ A): (A) ⇒ (MissingAndErroneousFeatureInfo, CharSequence)

final def eq(arg0: AnyRef): Boolean

val features: FeatureExtractorFunction[A, String]

def finalize(): Unit

final def getClass(): Class[_]

def headerString: String

val headers: Vector[String]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val separator: String

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

def toString(): String

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 RowCreator[A, CharSequence]

Inherited from Serializable

Inherited from Serializable

Inherited from (A) ⇒ (MissingAndErroneousFeatureInfo, CharSequence)

Inherited from AnyRef

Inherited from Any

Ungrouped