case class RotatedFeatureTrainingResult(baseTrainingResult: TrainingResult, rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double]) extends TrainingResult with Product with Serializable
Training result bundling the base learner's training result with the list of rotated features and the transformation
- baseTrainingResult
training result to which to delegate prediction on rotated features
- rotatedFeatures
indices of features to rotate
- trans
matrix to apply to features
- Alphabetic
- By Inheritance
- RotatedFeatureTrainingResult
- Product
- Equals
- TrainingResult
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Instance Constructors
- new RotatedFeatureTrainingResult(baseTrainingResult: TrainingResult, rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double])
- baseTrainingResult
training result to which to delegate prediction on rotated features
- rotatedFeatures
indices of features to rotate
- trans
matrix to apply to features
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val baseTrainingResult: TrainingResult
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable])
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getFeatureImportance(): Option[Vector[Double]]
Get a measure of the importance of the model features
Get a measure of the importance of the model features
- returns
feature influences as an array of doubles
- Definition Classes
- TrainingResult
- def getLoss(): Option[Double]
Get a measure of the loss of the model, e.g.
Get a measure of the loss of the model, e.g. RMS OOB error
- Definition Classes
- RotatedFeatureTrainingResult → TrainingResult
- def getModel(): Model[PredictionResult[Any]]
Get the model contained in the training result
Get the model contained in the training result
- returns
the model
- Definition Classes
- RotatedFeatureTrainingResult → TrainingResult
- def getPredictedVsActual(): Option[Seq[(Vector[Any], Any, Any)]]
Get the predicted vs actual values, e.g.
Get the predicted vs actual values, e.g. from OOB
- returns
seq of (feature vector, predicted value, and actual value)
- Definition Classes
- RotatedFeatureTrainingResult → TrainingResult
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- val rotatedFeatures: IndexedSeq[Int]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val trans: DenseMatrix[Double]
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()