Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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   protected[lang]

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   @throws( ... ) @native()

6.  def compose[S](spec: FeatureSpec[S])(f: (T) ⇒ S): FeatureSpec[T]

   Compose with another spec by applying a prepare function to input records first.

   Compose with another spec by applying a prepare function to input records first.

   Useful for reusing an existing spec for a different input record type.

   S

   input record type of the other spec

   spec

   spec to compose with

   f

   function to prepare input records for the other spec

7.  def cross(k: (String, String))(f: (Double, Double) ⇒ Double): FeatureSpec[T]

   Cross feature values of two underlying transformers.

   Cross feature values of two underlying transformers.

   k

   names of transformers to be crossed

   f

   function to cross feature value pairs

8.  final def eq(arg0: AnyRef): Boolean

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9.  def equals(arg0: Any): Boolean

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10.  def extract[M[_]](input: M[T])(implicit arg0: CollectionType[M]): FeatureExtractor[M, T]

    Extract features from an input collection.

    Extract features from an 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

11.  def extractWithSettings[F](settings: String)(implicit arg0: FeatureBuilder[F], arg1: ClassTag[F]): RecordExtractor[T, F]

    Extract features from individual records using settings from a previous session.

    Extract features from individual records using settings from a previous session. Since the settings are parsed only once, this is more efficient and is recommended when the input is from an unbounded source, e.g. a stream of events or a backend service.

    This bypasses the reduce step in extract and uses feature summary from settings exported in a previous session.

    settings

    JSON settings from a previous session

12.  def extractWithSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): FeatureExtractor[M, T]

    Extract features from an input collection using settings from a previous session.

    Extract features from an 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

13.  def extractWithSubsetSettings[F](settings: String)(implicit arg0: FeatureBuilder[F], arg1: ClassTag[F]): RecordExtractor[T, F]

    Extract features from individual records using partial settings.

    Extract features from individual records using partial settings. Since the settings are parsed only once, this is more efficient and is recommended when the input is from an unbounded source, e.g. a stream of events or a backend service.

    This bypasses the reduce step in extract and uses feature summary from settings exported in a previous session.

    settings

    JSON settings from a previous session

14.  def extractWithSubsetSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): FeatureExtractor[M, T]

    Extract features from an input collection using a partial settings from a previous session.

    Extract features from an input collection using a 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

15.  def filter(predicate: (Feature[T, _, _, _]) ⇒ Boolean): FeatureSpec[T]

    Creates a new FeatureSpec with only the features that respect the given predicate.

    Creates a new FeatureSpec with only the features that respect the given predicate.

    predicate

    Function determining whether or not to include the feature

16.  def finalize(): Unit

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    protected[lang]

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    @throws( classOf[java.lang.Throwable] )

17.  final def getClass(): Class[_]

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    @native()

18.  def hashCode(): Int

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    @native()

19.  final def isInstanceOf[T0]: Boolean

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20.  final def ne(arg0: AnyRef): Boolean

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21.  final def notify(): Unit

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22.  final def notifyAll(): Unit

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    @native()

23.  def optional[A](f: (T) ⇒ Option[A], default: Option[A] = None)(t: Transformer[A, _, _]): FeatureSpec[T]

    Add an optional field specification.

    Add an optional field specification.

    A

    extracted feature type

    f

    function to extract feature Option[A] from record T

    default

    default for missing values

    t

    Transformer for extracted feature A

24.  def required[A](f: (T) ⇒ A)(t: Transformer[A, _, _]): FeatureSpec[T]

    Add a required field specification.

    Add a required field specification.

    A

    extracted feature type

    f

    function to extract feature A from record T

    t

    Transformer for extracted feature A

25.  final def synchronized[T0](arg0: ⇒ T0): T0

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26.  def toString(): String

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27.  final def wait(): Unit

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

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    @throws( ... )

29.  final def wait(arg0: Long): Unit

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    @throws( ... ) @native()