MultiFeatureSpec

Instance Constructors

new MultiFeatureSpec(mapping: Map[String, Int], features: Array[Feature[T, _, _, _]], crossings: Crossings)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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

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def equals(arg0: Any): Boolean

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def extract[M[_]](input: M[T])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

Extract features from a input collection.
Extract features from a input collection.
This is done in two steps, a reduce step over the collection to aggregate feature summary, and a map step to transform values using the summary.
M
input collection type, e.g. Array, List
input
input collection
def extractWithSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

Extract features from a input collection using settings from a previous session.
Extract features from a input collection using settings from a previous session.
This bypasses the reduce step in extract and uses feature summary from settings exported in a previous session.
M
input collection type, e.g. Array, List
input
input collection
settings
JSON settings from a previous session
def extractWithSubsetSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

Extract features from a input collection using partial settings from a previous session.
Extract features from a input collection using partial settings from a previous session.
This bypasses the reduce step in extract and uses feature summary from settings exported in a previous session.
M
input collection type, e.g. Array, List
input
input collection
settings
JSON settings from a previous session
def filter(predicate: (Feature[T, _, _, _]) ⇒ Boolean): MultiFeatureSpec[T]

Creates a new MultiFeatureSpec with only the features that respect the given predicate.
Creates a new MultiFeatureSpec with only the features that respect the given predicate.
predicate
Function determining whether or not to include the feature
def finalize(): Unit

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

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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

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def toString(): String

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final def wait(): Unit

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

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@throws( ... )
final def wait(arg0: Long): Unit

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@throws( ... )

Related Docs: object MultiFeatureSpec | package featran

class MultiFeatureSpec[T] extends AnyRef

Instance Constructors

new MultiFeatureSpec(mapping: Map[String, Int], features: Array[Feature[T, _, _, _]], crossings: Crossings)

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

def extract[M[_]](input: M[T])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

def extractWithSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

def extractWithSubsetSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]

def filter(predicate: (Feature[T, _, _, _]) ⇒ Boolean): MultiFeatureSpec[T]

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

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