o

com.spotify.featran.transformers

PolynomialExpansion

object PolynomialExpansion extends SettingsBuilder with Serializable

Transform vector features by expanding them into a polynomial space, which is formulated by an n-degree combination of original dimensions.

Missing values are transformed to zero vectors.

When using aggregated feature summary from a previous session, vectors of different dimensions are transformed to zero vectors and FeatureRejection.WrongDimension rejections are reported.

Source
PolynomialExpansion.scala
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  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. def apply(name: String, degree: Int = 2, expectedLength: Int = 0): Transformer[Array[Double], Int, Int]

    Create a new PolynomialExpansion instance.

    Create a new PolynomialExpansion instance.

    degree

    the polynomial degree to expand, which should be greater than or equal to 1

    expectedLength

    expected length of the input vectors, or 0 to infer from data

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: Any): Boolean
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  9. def expand(v: Array[Double], degree: Int): Array[Double]
  10. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  11. def fromSettings(setting: Settings): Transformer[Array[Double], Int, Int]

    Create a new PolynomialExpansion from a settings object

    Create a new PolynomialExpansion from a settings object

    setting

    Settings object

    Definition Classes
    PolynomialExpansionSettingsBuilder
  12. final def getClass(): Class[_]
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