Kernel
Namespace: Semagle.MachineLearning.SVM
Popular kernel functions definitions
Functions and values
Function or value | Description |
linear x1 x2
Signature: x1:^X -> x2:^X -> float
Type parameters: ^X, ^_arg3
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Linear kernel function \((x_1 \cdot x_2)\)
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polynomial gamma mu n x1 x2
Signature: gamma:float -> mu:float -> n:float -> x1:^X -> x2:^X -> float
Type parameters: ^X, ^_arg3
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Polynomial kernel function \((\gamma*(x_1 \cdot x_2)+\mu)^n\)
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rbf gamma x1 x2
Signature: gamma:float -> x1:^X -> x2:^X -> float
Type parameters: ^X, ^_arg3
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Radial basis kernel function \(exp(-\gamma||x_1 - x_2||^2)\)
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sigmoid gamma mu x1 x2
Signature: gamma:float -> mu:float -> x1:^X -> x2:^X -> float
Type parameters: ^X, ^_arg3
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Sigmoid kernel function \(tanh(\gamma(x_1 \cdot x_2)+\mu)\)
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