ML CSIG: Difference between revisions
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== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, {{TAG|ML_FF_ISAMPLE}}, {{TAG|ML_FF_LCRITERIA}}, {{TAG|ML_FF_CSLOPE}} | {{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, {{TAG|ML_FF_ISAMPLE}}, {{TAG|ML_FF_LCRITERIA}}, {{TAG|ML_FF_CSLOPE}}, {{TAG|ML_FF_MHIS}} | ||
{{sc|ML_FF_CSIG|Examples|Examples that use this tag}} | {{sc|ML_FF_CSIG|Examples|Examples that use this tag}} | ||
Revision as of 17:11, 14 April 2021
ML_FF_CSIG = [real]
Default: ML_FF_CSIG =
Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
ML_FF_CSIG is a threshold for variance in the stored estimated errors used to determine the criteria when ML_FF_LCRITERIA=.TRUE. is set.
Related Tags and Sections
ML_FF_LMLFF, ML_FF_IERR, ML_FF_ISAMPLE, ML_FF_LCRITERIA, ML_FF_CSLOPE, ML_FF_MHIS