ML EPS REG: Difference between revisions

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</math>.
</math>.


All eigenvalues satisfying <math>\lambda_{i} / \lambda_{\mathrm{max}} </math> > {{TAG|ML_EPS_REG}} are contributing by the above equations. All eigenvalues not satisfying that relation are contributing as
All eigenvalues satisfying <math>\lambda_{i} / \lambda_{\mathrm{max}} </math> > {{TAG|ML_EPS_REG}} are contributing by the above equations.
 
<math>
\frac{\lambda_{k}}{1/\sigma^{2}_{\mathrm{w}}}
</math>





Revision as of 17:59, 4 January 2022

ML_EPS_REG = [real]
Default: ML_EPS_REG = 1E-14 

Description: Threshold for the eigenvalues of the covariance matrix in the evidence approximation.


This threshold is used to determine which eigenvalues of the covariance matrix are used in the optimization of the regularization parameters and determined by the following equations

.

All eigenvalues satisfying > ML_EPS_REG are contributing by the above equations.



Related Tags and Sections

ML_LMLFF, ML_IALGO_LINREG, ML_IREG, ML_SIGV0, ML_SIGW0

Examples that use this tag