mvpa2.kernels.npΒΆ
Kernels for Gaussian Process Regression and Classification.
Functions
| squared_euclidean_distance(data1[, data2, ...]) | Compute weighted euclidean distance matrix between two datasets. |
Classes
| ConditionalAttribute(*args, **kwargs[, enabled]) | Simple container intended to conditionally store the value |
| 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(**kwargs[, length_scale, ...]) | 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. |
| NumpyKernel(*args, **kwargs) | A Kernel object with internal representation as a 2d numpy array |
| Parameter(default, **kwargs[, ro, index, ...]) | This class shall serve as a representation of a parameter. |
| PolyKernel(*args, **kwargs) | Polynomial kernel: K(a,b) = (gamma*a*b.T+coef0)**degree |
| RationalQuadraticKernel(**kwargs[, ...]) | The Rational Quadratic (RQ) kernel class. |
| RbfKernel(*args, **kwargs) | Radial basis function (aka Gausian, aka ) kernel |
| SquaredExponentialKernel(**kwargs[, ...]) | The Squared Exponential kernel class. |
Exceptions
| ConditionalAttribute(*args, **kwargs[, enabled]) | Simple container intended to conditionally store the value |
| 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(**kwargs[, length_scale, ...]) | 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. |
| NumpyKernel(*args, **kwargs) | A Kernel object with internal representation as a 2d numpy array |
| Parameter(default, **kwargs[, ro, index, ...]) | This class shall serve as a representation of a parameter. |
| PolyKernel(*args, **kwargs) | Polynomial kernel: K(a,b) = (gamma*a*b.T+coef0)**degree |
| RationalQuadraticKernel(**kwargs[, ...]) | The Rational Quadratic (RQ) kernel class. |
| RbfKernel(*args, **kwargs) | Radial basis function (aka Gausian, aka ) kernel |
| SquaredExponentialKernel(**kwargs[, ...]) | The Squared Exponential kernel class. |
