edu.berkeley.cs.amplab.mlmatrix

BlockPartitionedMatrix

class BlockPartitionedMatrix extends DistributedMatrix with Logging

Linear Supertypes
Logging, DistributedMatrix, Serializable, Serializable, AnyRef, Any
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Inherited
  1. BlockPartitionedMatrix
  2. Logging
  3. DistributedMatrix
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Instance Constructors

  1. new BlockPartitionedMatrix(numRowBlocks: Int, numColBlocks: Int, rdd: RDD[BlockPartition])

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. def *(other: Double): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  5. def +(other: DistributedMatrix): DistributedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  6. def +(other: Double): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  7. def -(other: DistributedMatrix): DistributedMatrix

    Definition Classes
    DistributedMatrix

  8. def -(other: Double): DistributedMatrix

    Definition Classes
    DistributedMatrix

  9. def /(other: Double): DistributedMatrix

    Definition Classes
    DistributedMatrix

  10. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  12. def aggregateElements[U](zeroValue: U)(seqOp: (U, Double) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  13. def apply(rowRange: Range, colRange: Range): Nothing

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  14. def apply(rowRange: ::.type, colRange: Range): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  15. def apply(rowRange: Range, colRange: ::.type): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  16. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  17. var blockInfo_: Map[(Int, Int), BlockPartitionInfo]

  18. def cache(): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  19. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  20. def colSums(): Seq[Double]

    Returns a column sum vector as a materialized Scala Seq collected to the driver.

    Returns a column sum vector as a materialized Scala Seq collected to the driver. By default, the implementation calls reduceColElements.

    Definition Classes
    DistributedMatrix

  21. def collect(): DenseMatrix[Double]

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  22. def dim: (Option[Long], Option[Long])

    Definition Classes
    DistributedMatrix

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

    Definition Classes
    AnyRef

  24. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  25. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  26. def getBlockInfo: Map[(Int, Int), BlockPartitionInfo]

  27. def getBlockRange(startRowBlock: Int, endRowBlock: Int, startColBlock: Int, endColBlock: Int): BlockPartitionedMatrix

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

    Definition Classes
    AnyRef → Any

  29. def getColBlock(colBlock: Int): RowPartitionedMatrix

  30. def getDim(): (Long, Long)

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  31. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  32. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  33. def length(): Long

    Definition Classes
    DistributedMatrix

  34. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  35. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  36. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  37. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  38. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  39. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  40. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  41. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  42. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  43. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  44. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  45. def mapElements(f: (Double) ⇒ Double): BlockPartitionedMatrix

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

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

    Definition Classes
    AnyRef

  47. def normFro(): Double

  48. def normFrobenius(): Double

    Definition Classes
    DistributedMatrix

  49. final def notify(): Unit

    Definition Classes
    AnyRef

  50. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  51. val numColBlocks: Int

  52. def numCols(): Long

    Definition Classes
    DistributedMatrix

  53. val numRowBlocks: Int

  54. def numRows(): Long

    Definition Classes
    DistributedMatrix

  55. def pow(other: Double): DistributedMatrix

    Definition Classes
    DistributedMatrix

  56. val rdd: RDD[BlockPartition]

  57. def reduceColElements(f: (Double, Double) ⇒ Double): DistributedMatrix

    Reduce each column using an associative f.

    Reduce each column using an associative f. The result matrix has the same number of columns, and 1 row. Example usage includes getting a column sum vector.

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  58. def reduceElements(f: (Double, Double) ⇒ Double): Double

    Definition Classes
    DistributedMatrix

  59. def reduceRowElements(f: (Double, Double) ⇒ Double): DistributedMatrix

    Reduce each row using an associative f.

    Reduce each row using an associative f. The result matrix has the same number of rows, and 1 column. Example usage includes getting a row sum vector.

    Definition Classes
    BlockPartitionedMatrix → DistributedMatrix

  60. def rowSums(): Seq[Double]

    Returns a row sum vector as a materialized Scala Seq collected to the driver.

    Returns a row sum vector as a materialized Scala Seq collected to the driver. By default, the implementation calls reduceRowElements.

    Definition Classes
    DistributedMatrix

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

    Definition Classes
    AnyRef

  62. def toString(): String

    Definition Classes
    AnyRef → Any

  63. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Logging

Inherited from DistributedMatrix

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped