ML SIGW0: Difference between revisions
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{{DISPLAYTITLE:ML_SIGW0}} | |||
{{TAGDEF|ML_SIGW0|[real]|1.0}} | {{TAGDEF|ML_SIGW0|[real]|1.0}} | ||
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For details about the optimization of this regularization parameter see [[Machine learning force field: Theory#Bayesian error estimation|this section]]. | For details about the optimization of this regularization parameter see [[Machine learning force field: Theory#Bayesian error estimation|this section]]. | ||
== Related | == Related tags and articles == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_IREG}}, {{TAG|ML_SIGV0}} | {{TAG|ML_LMLFF}}, {{TAG|ML_IREG}}, {{TAG|ML_SIGV0}} | ||
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields | [[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] | ||
Revision as of 07:42, 7 April 2022
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.