mvpa2.kernels.npΒΆ
Kernels for Gaussian Process Regression and Classification.
Functions
Classes
ConstantKernel(*args, **kwargs) |
The constant kernel class. |
ExponentialKernel(*args, **kwargs) |
The Exponential kernel class. |
GeneralizedLinearKernel(*args, **kwargs) |
The linear kernel class. |
LinearKernel(*args, **kwargs) |
Simple linear kernel: K(a,b) = a*b.T |
Matern_3_2Kernel([length_scale, sigma_f, ...]) |
The Matern kernel class for the case ni=3/2 or ni=5/2. |
Matern_5_2Kernel(**kwargs) |
The Matern kernel class for the case ni=5/2. |
PolyKernel(*args, **kwargs) |
Polynomial kernel: K(a,b) = (gamma*a*b.T+coef0)**degree |
RationalQuadraticKernel([length_scale, ...]) |
The Rational Quadratic (RQ) kernel class. |
RbfKernel(*args, **kwargs) |
Radial basis function (aka Gausian, aka ) kernel |
SquaredExponentialKernel([length_scale, sigma_f]) |
The Squared Exponential kernel class. |
Exceptions
ConstantKernel(*args, **kwargs) |
The constant kernel class. |
ExponentialKernel(*args, **kwargs) |
The Exponential kernel class. |
GeneralizedLinearKernel(*args, **kwargs) |
The linear kernel class. |
LinearKernel(*args, **kwargs) |
Simple linear kernel: K(a,b) = a*b.T |
Matern_3_2Kernel([length_scale, sigma_f, ...]) |
The Matern kernel class for the case ni=3/2 or ni=5/2. |
Matern_5_2Kernel(**kwargs) |
The Matern kernel class for the case ni=5/2. |
PolyKernel(*args, **kwargs) |
Polynomial kernel: K(a,b) = (gamma*a*b.T+coef0)**degree |
RationalQuadraticKernel([length_scale, ...]) |
The Rational Quadratic (RQ) kernel class. |
RbfKernel(*args, **kwargs) |
Radial basis function (aka Gausian, aka ) kernel |
SquaredExponentialKernel([length_scale, sigma_f]) |
The Squared Exponential kernel class. |
