Gaussian Process

Example 1

Summary: Build a gaussian process model

Code:

// Open data table
dt = Open("$Sample_Data/2D Gaussian Process Example.jmp");
// Model
Gaussian Process(
    Y( :Y ),
    X( :X1, :X2 )
);

Example 2

Summary: Generate a gaussian process model

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Algorithm Data.jmp");
// Model
Gaussian Process(
    Y( :CPU Time ),
    X(
        :Alpha, :Beta, :Gamma, :Algorithm,
        :Compiler
    ),
    Set Correlation Function(
        "Gaussian"
    ),
    Fast GASP( 1 ),
    Block Size( 50 )
);

Example 3

Summary: Fit a Gaussian Process model to predict the response variable using several predictor variables in a Design of Experiments (DOE) context.

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Borehole Sphere Packing.jmp");
// Model (GP from DOE)
Gaussian Process(
    Y( :Y ),
    X(
        :log10 Rw, :log10 R, :Tu, :Tl,
        :Hu, :Hl, :L, :Kw
    )
);