Packages

c

io.citrine.lolo.trees.multitask

MultiTaskTreeLearner

case class MultiTaskTreeLearner() extends MultiTaskLearner with Product with Serializable

Multi-task tree learner, which produces multiple decision trees with the same split structure

Linear Supertypes
Product, Equals, MultiTaskLearner, Serializable, Serializable, AnyRef, Any
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Inherited
  1. MultiTaskTreeLearner
  2. Product
  3. Equals
  4. MultiTaskLearner
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Instance Constructors

  1. new MultiTaskTreeLearner()

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 clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  9. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  10. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  12. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  13. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  14. def train(inputs: Seq[Vector[Any]], labels: Seq[Seq[Any]], weights: Option[Seq[Double]]): Seq[TrainingResult]

    Train a model

    Train a model

    inputs

    to train on

    labels

    sequence of sequences of labels

    weights

    for the training rows, if applicable

    returns

    training result containing a model

    Definition Classes
    MultiTaskTreeLearner → MultiTaskLearner
  15. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  17. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from MultiTaskLearner

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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