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object PredictorMat2

The PredictorMat2 object provides functions for rescaling data and performing analysis.

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  1. 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

  2. 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

  3. 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)

  4. 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)