Class

com.microsoft.ml.spark.vw.featurizer

NumericFeaturizer

Related Doc: package featurizer

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class NumericFeaturizer extends Featurizer

Featurize numeric values into native VW structure. ((hash(column name):value)

Linear Supertypes
Featurizer, Serializable, Serializable, AnyRef, Any
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Inherited
  1. NumericFeaturizer
  2. Featurizer
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
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Instance Constructors

  1. new NumericFeaturizer(fieldIdx: Int, columnName: String, namespaceHash: Int, mask: Int, getFieldValue: (Row) ⇒ Double)

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    fieldIdx

    input field index.

    columnName

    used as feature name prefix.

    namespaceHash

    pre-hashed namespace.

    mask

    bit mask applied to final hash.

    getFieldValue

    lambda to unify the cast/conversion to double.

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. val columnName: String

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    used as feature name prefix.

    used as feature name prefix.

    Definition Classes
    NumericFeaturizer → Featurizer

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. val featureIdx: Int

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    Pre-hashed feature index.

  10. def featurize(row: Row, indices: ArrayBuilder[Int], values: ArrayBuilder[Double]): Unit

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    Featurize a single row.

    Featurize a single row.

    row

    input row.

    indices

    output indices.

    values

    output values.

    Definition Classes
    NumericFeaturizer → Featurizer
    Note

    this interface isn't very Scala-esce, but it avoids lots of allocation. Also due to SparseVector limitations we don't support 64bit indices (e.g. indices are signed 32bit ints)

  11. val fieldIdx: Int

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    input field index.

    input field index.

    Definition Classes
    NumericFeaturizer → Featurizer

  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  13. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  14. val getFieldValue: (Row) ⇒ Double

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    lambda to unify the cast/conversion to double.

  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  16. lazy val hasher: VowpalWabbitMurmurWithPrefix

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    Initialize hasher that already pre-hashes the column prefix.

    Initialize hasher that already pre-hashes the column prefix.

    Attributes
    protected
    Definition Classes
    Featurizer

  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  18. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  22. def toString(): String

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    Definition Classes
    AnyRef → Any

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  25. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Featurizer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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