object PredictorMat2
The PredictorMat2 object provides functions for rescaling data and performing
analysis.
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- def analyze(model: PredictorMat2): Unit
Analyze a dataset using the given model using ordinary training with the 'train' method.
Analyze a dataset using the given model using ordinary training with the 'train' method.
- model
the model to be used
- def analyze2(model: PredictorMat2): Unit
Analyze a dataset using the given model where training includes hyper-parameter optimization with the 'train2' method.
Analyze a dataset using the given model where training includes hyper-parameter optimization with the 'train2' method.
- model
the model to be used
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- def rescaleX(x: MatriD, f: AFF): MatriD
Rescale the input/data matrix 'x' to the bounds of the "first" activation function 'f'; otherwise normalize.
Rescale the input/data matrix 'x' to the bounds of the "first" activation function 'f'; otherwise normalize. Return the rescaled matrix.
- x
the input/data matrix
- f
the activation function family (first)
- def rescaleY(y: VectoD, f: AFF): (VectoD, FunctionV_2V)
Rescale the output/response vector 'y' to the bounds of the "last" activation function 'f'; otherwise normalize.
Rescale the output/response vector 'y' to the bounds of the "last" activation function 'f'; otherwise normalize. Return the rescaled vector and the rescaling inverse function.
- y
the output/response vector
- f
the activation function family (last)
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