PolynomialFeatures

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. object Degree extends Parameter[Int] with Product with Serializable

   

5. def apply(): PolynomialFeatures

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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11. implicit def fitNoOp[T]: FitOperation[PolynomialFeatures, T]

    

    The PolynomialFeatures transformer does not need a fitting phase.

    The PolynomialFeatures transformer does not need a fitting phase.

    T

    The fitting works with arbitrary input types

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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20. implicit val transformLabeledVectorIntoPolynomialBase: TransformDataSetOperation[PolynomialFeatures, LabeledVector, LabeledVector]

    

    org.apache.flink.ml.pipeline.TransformDataSetOperation to map a LabeledVector into the polynomial feature space

21. implicit def transformVectorIntoPolynomialBase[T <: Vector](implicit arg0: VectorBuilder[T], arg1: TypeInformation[T], arg2: ClassTag[T]): TransformDataSetOperation[PolynomialFeatures, T, T]

    

    org.apache.flink.ml.pipeline.TransformDataSetOperation to map a Vector into the polynomial feature space.

    org.apache.flink.ml.pipeline.TransformDataSetOperation to map a Vector into the polynomial feature space.

    T

    Subclass of Vector

22. final def wait(): Unit

    

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

    

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

    

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