ML SIGV0: Difference between revisions

Revision as of 21:02, 11 October 2021

ML_SIGV0 = [real]
Default: ML_SIGV0 = 1.0

Description: This flag sets the initial reversed and squared noise parameter ${\frac {1}{\sigma _{\mathrm {v} }^{2}}}$ 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_SIGW0

Examples that use this tag

@@ Line 3: / Line 3: @@
 Description: This flag sets the initial reversed and squared noise parameter <math>\frac{1}{\sigma_{\mathrm{v}}^{2}}</math> in the machine learning force field method.
 ----
-For the optimization of the optimization of the reverse and squared noise parameter <math>\frac{1}{\sigma_{\mathrm{v}}^{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]].
-[[Machine learning force field: Theory]].
 == Related Tags and Sections ==