Commit 73f6c2b7 by Konstantinos Chatzilygeroudis

### Fix for kernel docs [ci skip]

parent aedc90e1
 ... ... @@ -20,7 +20,7 @@ namespace limbo { Exponential kernel (see :cite:brochu2010tutorial p. 9). .. math:: k(v_1, v_2) = \sigma^2\exp \Big(-\frac{1}{\l^2} ||v_1 - v_2||^2\Big) k(v_1, v_2) = \sigma^2\exp \Big(-\frac{1}{l^2} ||v_1 - v_2||^2\Big) Parameters: - double sigma_sq (signal variance) ... ...
 ... ... @@ -9,7 +9,6 @@ namespace limbo { namespace defaults { struct kernel_maternthreehalves { /// @ingroup kernel_defaults /// This is is sigma squared! BO_PARAM(double, sigma_sq, 1); /// @ingroup kernel_defaults BO_PARAM(double, l, 1); ... ...
 ... ... @@ -6,7 +6,9 @@ namespace limbo { namespace defaults { struct kernel_squared_exp_ard { /// @ingroup kernel_defaults BO_PARAM(int, k, 0); //equivalent to the standard exp ARD /// @ingroup kernel_defaults BO_PARAM(double, sigma_sq, 1); }; } ... ... @@ -20,9 +22,13 @@ namespace limbo { Computes the squared exponential covariance like this: .. math:: k_{SE}(x, y) = \alpha^2 \exp \Big(-\frac{1}{2}(x-y)^TM(x-y)\Big), k_{SE}(x, y) = \sigma^2 \exp \Big(-\frac{1}{2}(x-y)^TM(x-y)\Big), with :math:M = \Lambda\Lambda^T + diag(l_1^{-2}, \dots, l_n^{-2}) being the characteristic length scales and :math:\alpha describing the variability of the latent function. The parameters :math:l_1^2, \dots, l_n^2, \alpha, \Lambda are expected in this order in the parameter array. with :math:M = \Lambda\Lambda^T + diag(l_1^{-2}, \dots, l_n^{-2}) being the characteristic length scales and :math:\alpha describing the variability of the latent function. The parameters :math:l_1^2, \dots, l_n^2, \Lambda are expected in this order in the parameter array. :math:\Lambda is a :math:D\times k matrix with :math:`k
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