NumericToVectorUtils

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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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def convertDataFrame(dataFrame: DataFrame, inputColumn: String, context: ExecutionContext): DataFrame

   

   Converts DataFrame by changing inputColumn type to vector

7. def convertSchema(schema: StructType, inputColumn: String): StructType

   

   Converts schema by changing inputColumn type to vector

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. final def getClass(): Class[_]

    

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12. def hashCode(): Int

    

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13. def isColumnNumeric(schema: StructType, colName: String): Boolean

    

    Returns true if colName type is numeric, false otherwise

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. def revertDataFrame(dataFrame: DataFrame, expectedSchema: StructType, inputColumn: String, outputColumn: String, context: ExecutionContext, convertOutputVectorToDouble: Boolean): DataFrame

    

    Converts DataFrame by changing inputColumn type to double.

    Converts DataFrame by changing inputColumn type to double. convertOutputVectorToDouble allows converting outputColumn to double

19. def revertSchema(schema: StructType, inputColumn: String, outputColumn: String, convertOutputVectorToDouble: Boolean): StructType

    

    Converts Schema by changing inputColumn type to double.

    Converts Schema by changing inputColumn type to double. convertOutputVectorToDouble allows converting outputColumn to double

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

    

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21. def toString(): String

    

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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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