Diagram

Example 1

Summary: Fit a neural (3,0,0) model with validation

Code:

// Open data table
dt = Open("$Sample_Data/Body Fat.jmp");
// Neural (3,0,0): 1 layer
Neural(
    Y( :Percent body fat ),
    X(
        :"Age (years)"n, :"Weight (lbs)"n,
        :"Height (inches)"n,
        :"Neck circumference (cm)"n,
        :"Chest circumference (cm)"n,
        :"Abdomen circumference (cm)"n,
        :"Hip circumference (cm)"n,
        :"Thigh circumference (cm)"n,
        :"Knee circumference (cm)"n,
        :"Ankle circumference (cm)"n,
        :
        "Biceps (extended) circumference (cm)"n,
        :"Forearm circumference (cm)"n,
        :"Wrist circumference (cm)"n
    ),
    Validation( :Validation ),
    Missing Value Coding( 1 ),
    Transform Covariates( 1 ),
    Fit(
        NTanH( 3 ),
        Transform Covariates( 1 ),
        Robust Fit( 1 ),
        Diagram( 1 )
    )
);

Example 2

Summary: Fit a 2 layer neural (4,0,0), (8,0,0) model

Code:

// Open data table
dt = Open("$Sample_Data/Body Fat.jmp");
// Neural (4,0,0), (8,0,0): 2 layers
Neural(
    Y( :Percent body fat ),
    X(
        :"Age (years)"n, :"Weight (lbs)"n,
        :"Height (inches)"n,
        :"Neck circumference (cm)"n,
        :"Chest circumference (cm)"n,
        :"Abdomen circumference (cm)"n,
        :"Hip circumference (cm)"n,
        :"Thigh circumference (cm)"n,
        :"Knee circumference (cm)"n,
        :"Ankle circumference (cm)"n,
        :
        "Biceps (extended) circumference (cm)"n,
        :"Forearm circumference (cm)"n,
        :"Wrist circumference (cm)"n
    ),
    Validation( :Validation ),
    Missing Value Coding( 1 ),
    Transform Covariates( 1 ),
    Fit(
        NTanH( 4 ),
        NTanH2( 8 ),
        Transform Covariates( 1 ),
        Robust Fit( 1 ),
        Diagram( 1 )
    )
);

Example 3

Summary: Fit a neural model boosted 100x

Code:

// Open data table
dt = Open("$Sample_Data/Body Fat.jmp");
// Neural Boosted
Neural(
    Y( :Percent body fat ),
    X(
        :"Age (years)"n, :"Weight (lbs)"n,
        :"Height (inches)"n,
        :"Neck circumference (cm)"n,
        :"Chest circumference (cm)"n,
        :"Abdomen circumference (cm)"n,
        :"Hip circumference (cm)"n,
        :"Thigh circumference (cm)"n,
        :"Knee circumference (cm)"n,
        :"Ankle circumference (cm)"n,
        :
        "Biceps (extended) circumference (cm)"n,
        :"Forearm circumference (cm)"n,
        :"Wrist circumference (cm)"n
    ),
    Validation( :Validation ),
    Missing Value Coding( 0 ),
    Transform Covariates( 1 ),
    Fit(
        NTanH( 1 ),
        Transform Covariates( 1 ),
        Robust Fit( 1 ),
        N Boost( 100 ),
        Diagram( 1 )
    )
);

Example 4

Summary: Create a Diagnostics Diagram for Variable Relationships

Code:

// Open data table
dt = Open("$Sample_Data/Ishikawa.jmp");
// Diagram
Diagram( Y( :Child ), X( :Parent ) );