MMLDataFrame

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.