ml.dmlc.xgboost4j.java

Booster

Related Doc: package java

class Booster extends Serializable with KryoSerializable

Linear Supertypes
KryoSerializable, Serializable, AnyRef, Any
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  1. Booster
  2. KryoSerializable
  3. Serializable
  4. AnyRef
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Value Members

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

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  5. def boost(dtrain: DMatrix, grad: Array[Float], hess: Array[Float]): Unit

  6. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def dispose(): Unit

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

    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  10. def evalSet(evalMatrixs: Array[DMatrix], evalNames: Array[String], eval: IEvaluation): String

  11. def evalSet(evalMatrixs: Array[DMatrix], evalNames: Array[String], iter: Int): String

  12. def finalize(): Unit

    Attributes
    protected[ml.dmlc.xgboost4j.java]
    Definition Classes
    Booster → AnyRef
  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  14. def getFeatureScore(featureMap: String): Map[String, Integer]

  15. def getModelDump(featureMap: String, withStats: Boolean): Array[String]

  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. def predict(data: DMatrix, outputMargin: Boolean, treeLimit: Int): Array[Array[Float]]

  22. def predict(data: DMatrix, outputMargin: Boolean): Array[Array[Float]]

  23. def predict(data: DMatrix): Array[Array[Float]]

  24. def predictLeaf(data: DMatrix, treeLimit: Int): Array[Array[Float]]

  25. def read(kryo: Kryo, input: Input): Unit

    Definition Classes
    Booster → KryoSerializable
  26. def saveModel(out: OutputStream): Unit

  27. def saveModel(modelPath: String): Unit

  28. final def setParam(key: String, value: Any): Unit

  29. def setParams(params: Map[String, AnyRef]): Unit

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

    Definition Classes
    AnyRef
  31. def toByteArray(): Array[Byte]

  32. def toString(): String

    Definition Classes
    AnyRef → Any
  33. def update(dtrain: DMatrix, obj: IObjective): Unit

  34. def update(dtrain: DMatrix, iter: Int): Unit

  35. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. def write(kryo: Kryo, output: Output): Unit

    Definition Classes
    Booster → KryoSerializable

Inherited from KryoSerializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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