case class RotatedFeatureModel[T](baseModel: Model[PredictionResult[T]], rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double]) extends Model[PredictionResult[T]] with Product with Serializable
Model bundling the base learner's model with the list of rotated features and the transformation
- T
label type
- baseModel
model to which to delegate prediction on rotated features
- rotatedFeatures
indices of features to rotate
- trans
matrix to apply to features
Linear Supertypes
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Instance Constructors
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new
RotatedFeatureModel(baseModel: Model[PredictionResult[T]], rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double])
- baseModel
model to which to delegate prediction on rotated features
- rotatedFeatures
indices of features to rotate
- trans
matrix to apply to features
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def
asInstanceOf[T0]: T0
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- val baseModel: Model[PredictionResult[T]]
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- val rotatedFeatures: IndexedSeq[Int]
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def
synchronized[T0](arg0: ⇒ T0): T0
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- val trans: DenseMatrix[Double]
-
def
transform(inputs: Seq[Vector[Any]]): RotatedFeaturePrediction[T]
Transform the inputs and then apply the base model
Transform the inputs and then apply the base model
- inputs
to apply the model to
- returns
a RotatedFeaturePredictionResult which includes, at least, the expected outputs
- Definition Classes
- RotatedFeatureModel → Model
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