Expand description
Support vector machine module.
Structs§
- BinarySVM
- A fitted binary classification support vector machine.
- FittedSVM
Data Point - A fitted data point for SVM.
- Gaussian
Kernel - Gaussian kernel, defined as $\exp(-\frac{||x_1 - x_2||^2}{2\sigma^2})$. Also known as RBF kernel.
- Linear
Kernel - Linear kernel function, defined as the dot product of two vectors.
- Multi
ClassSVM - A fitted multi-class classification support vector machine using One-vs-One strategy.
- Polynomial
Kernel - Polynomial kernel function, defined as $(x_1 \cdot x_2 + c)^d$.
- SVMParams
- Parameters for fitting a
BinarySVMorMultiClassSVM.
Traits§
- Kernel
- Trait for kernel functions.