ML SIGV0: Difference between revisions
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== Related tags and sections == | == Related tags and sections == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_IREG}}, {{TAG|ML_SIGW0}} | {{TAG|ML_LMLFF}}, {{TAG|ML_IREG}}, {{TAG|ML_SIGW0}}, {{TAG|ML_IALGO_LINREG}} | ||
{{sc|ML_SIGV0|Examples|Examples that use this tag}} | {{sc|ML_SIGV0|Examples|Examples that use this tag}} | ||
Revision as of 15:46, 3 July 2023
ML_SIGV0 = [real]
Default: ML_SIGV0 = 1.0
Description: This flag sets the noise parameter for the fitting in the machine learning force field method.
If the regularization needs to be controlled manually, like e.g. in the fitting via singular value decomposition (ML_IALGO_LINREG=4), the best is to keep this parameter constant at 1 and control the regularization via the precision parameter (see ML_SIGW0).
For the theory of this regularization parameter see this section.
Related tags and sections
ML_LMLFF, ML_IREG, ML_SIGW0, ML_IALGO_LINREG