ML SIGW0: Difference between revisions

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For the optimization of the reversed and squared noise parameter <math>\frac{1}{\sigma_{\mathrm{w}}^{2}}</math> see following section:
For details about the optimization of this regularization parameter see [[Machine learning force field: Theory#Bayesian error estimation|this section]].
{{TAG|Machine learning force field: Theory}}.


== Related Tags and Sections ==
== Related Tags and Sections ==

Revision as of 21:02, 11 October 2021

ML_SIGW0 = [real]
Default: ML_SIGW0 = 1.0 

Description: This flag sets the initial reversed and squared precision parameter [math]\displaystyle{ \frac{1}{\sigma_{\mathrm{w}}^{2}} }[/math] in the machine learning force field method.


For details about the optimization of this regularization parameter see this section.

Related Tags and Sections

ML_LMLFF, ML_IREG, ML_SIGV0

Examples that use this tag