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implicit final class MMLDataFrame extends AnyVal

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  1. MMLDataFrame
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Instance Constructors

  1. new MMLDataFrame(df: Dataset[_])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    Any
  2. final def ##(): Int
    Definition Classes
    Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val df: Dataset[_]
  6. def getClass(): Class[_ <: AnyVal]
    Definition Classes
    AnyVal → Any
  7. def getColAs[T](colName: String): Seq[T]

    Gets the column values as the given type.

    Gets the column values as the given type.

    T

    The type to retrieve.

    colName

    The column name to retrieve from.

    returns

    The sequence of values in the column.

  8. def getDVCol: (String) ⇒ Seq[DenseVector]

    Gets the spark dense vector column.

    Gets the spark dense vector column.

    returns

    The spark dense vector column.

  9. def getSVCol: (String) ⇒ Seq[SparseVector]

    Gets the spark sparse vector column.

    Gets the spark sparse vector column.

    returns

    The spark sparse vector column.

  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. def toString(): String
    Definition Classes
    Any
  12. def withDerivativeCol(prefix: String): String

    Finds an unused column name given initial column name in the given schema.

    Finds an unused column name given initial column name in the given schema. The unused column name will be given prefix with a number appended to it, eg "testColumn_5". There will be an underscore between the column name and the number appended.

    returns

    The unused column name.

Inherited from AnyVal

Inherited from Any

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