SparkMatrix

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. def apply(data1: RDD[Long], data2: RDD[Long])(ev: (Long, Long) ⇒ Double): SparkMatrix

   

   Populate a matrix defined as M(i,j) = ev(i,j)

5. def apply[T](data1: RDD[(Long, T)], data2: RDD[(Long, T)])(kernel: Kernel[T, Double]): SparkMatrix

   

   Populate a matrix using a DynaML Kernel instance applied on pairs of instances contained in the data.

   Populate a matrix using a DynaML Kernel instance applied on pairs of instances contained in the data.

   T

   The type of input features of the data

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. final def getClass(): Class[_]

    

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12. def hashCode(): Int

    

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13. def horzcat(vectors: SparkMatrix*): SparkMatrix

    

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. def vertcat(vectors: SparkMatrix*): SparkMatrix

    

21. final def wait(): Unit

    

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

    

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

    

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