ml.dmlc.xgboost4j.scala

# DMatrix

###
Related Doc: package scala

#### class DMatrix extends AnyRef

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### Instance Constructors

1. #### new DMatrix(data: Array[Float], nrow: Int, ncol: Int, missing: Float)

   create DMatrix from dense matrix

   create DMatrix from dense matrix

   data

     data values

   nrow

     number of rows

   ncol

     number of columns

   missing

     the specified value to represent the missing value

   Annotations
     @throws( classOf[XGBoostError] )

2. #### new DMatrix(data: Array[Float], nrow: Int, ncol: Int)

   create DMatrix from dense matrix

   create DMatrix from dense matrix

   data

     data values

   nrow

     number of rows

   ncol

     number of columns

   Annotations
     @throws( classOf[XGBoostError] )

3. #### new DMatrix(headers: Array[Long], indices: Array[Int], data: Array[Float], st: SparseType, shapeParam: Int)

   create DMatrix from sparse matrix

   create DMatrix from sparse matrix

   headers

     index to headers (rowHeaders for CSR or colHeaders for CSC)

   indices

     Indices (colIndexs for CSR or rowIndexs for CSC)

   data

     non zero values (sequence by row for CSR or by col for CSC)

   st

     sparse matrix type (CSR or CSC)

   shapeParam

     when st is CSR, it specifies the column number, otherwise it is taken as row number

   Annotations
     @throws( classOf[XGBoostError] )

4. #### new DMatrix(dataIter: Iterator[LabeledPoint], cacheInfo: String = null)

   init DMatrix from Iterator of LabeledPoint

   init DMatrix from Iterator of LabeledPoint

   dataIter

     An iterator of LabeledPoint

   cacheInfo

     Cache path information, used for external memory setting, null by default.

   Exceptions thrown

     `XGBoostError` native error

5. #### new DMatrix(dataPath: String)

   init DMatrix from file (svmlight format)

   init DMatrix from file (svmlight format)

   dataPath

     path of data file

   Exceptions thrown

     `XGBoostError` native error

6. #### new DMatrix(headers: Array[Long], indices: Array[Int], data: Array[Float], st: SparseType)

   create DMatrix from sparse matrix

   create DMatrix from sparse matrix

   headers

     index to headers (rowHeaders for CSR or colHeaders for CSC)

   indices

     Indices (colIndexs for CSR or rowIndexs for CSC)

   data

     non zero values (sequence by row for CSR or by col for CSC)

   st

     sparse matrix type (CSR or CSC)

   Annotations
     @throws( classOf[XGBoostError] ) @deprecated
   Deprecated

### 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. #### final def asInstanceOf[T0]: T0

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5. #### def clone(): AnyRef

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6. #### def delete(): Unit

7. #### final def eq(arg0: AnyRef): Boolean

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8. #### def equals(arg0: Any): Boolean

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9. #### def finalize(): Unit

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10. #### def getBaseMargin: Array[Float]

    get base margin of the DMatrix

    get base margin of the DMatrix

    returns

      base margin

    Annotations
      @throws( classOf[XGBoostError] )

11. #### final def getClass(): Class[_]

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12. #### def getHandle: Long

13. #### def getLabel: Array[Float]

    get label values

    get label values

    returns

      label

    Annotations
      @throws( classOf[XGBoostError] )

14. #### def getWeight: Array[Float]

    get weight of the DMatrix

    get weight of the DMatrix

    returns

      weights

    Annotations
      @throws( classOf[XGBoostError] )

15. #### def hashCode(): Int

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16. #### final def isInstanceOf[T0]: Boolean

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17. #### final def ne(arg0: AnyRef): Boolean

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18. #### final def notify(): Unit

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19. #### final def notifyAll(): Unit

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20. #### def rowNum: Long

    get the row number of DMatrix

    get the row number of DMatrix

    returns

      number of rows

    Annotations
      @throws( classOf[XGBoostError] )

21. #### def saveBinary(filePath: String): Unit

    save DMatrix to filePath

    save DMatrix to filePath

    filePath

      file path

22. #### def setBaseMargin(baseMargin: Array[Array[Float]]): Unit

    if specified, xgboost will start from this init margin can be used to specify initial prediction to boost from

    if specified, xgboost will start from this init margin can be used to specify initial prediction to boost from

    baseMargin

      base margin

    Annotations
      @throws( classOf[XGBoostError] )

23. #### def setBaseMargin(baseMargin: Array[Float]): Unit

    if specified, xgboost will start from this init margin can be used to specify initial prediction to boost from

    if specified, xgboost will start from this init margin can be used to specify initial prediction to boost from

    baseMargin

      base margin

    Annotations
      @throws( classOf[XGBoostError] )

24. #### def setGroup(group: Array[Int]): Unit

    Set group sizes of DMatrix (used for ranking)

    Set group sizes of DMatrix (used for ranking)

    group

      group size as array

    Annotations
      @throws( classOf[XGBoostError] )

25. #### def setLabel(labels: Array[Float]): Unit

    set label of dmatrix

    set label of dmatrix

    labels

      labels

    Annotations
      @throws( classOf[XGBoostError] )

26. #### def setWeight(weights: Array[Float]): Unit

    set weight of each instance

    set weight of each instance

    weights

      weights

    Annotations
      @throws( classOf[XGBoostError] )

27. #### def slice(rowIndex: Array[Int]): DMatrix

    Slice the DMatrix and return a new DMatrix that only contains `rowIndex`.

    Slice the DMatrix and return a new DMatrix that only contains `rowIndex`.

    rowIndex

      row index

    returns

      sliced new DMatrix

    Annotations
      @throws( classOf[XGBoostError] )

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

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29. #### def toString(): String

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30. #### final def wait(): Unit

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

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32. #### final def wait(arg0: Long): Unit

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