ML CSLOPE: 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_LCRITERIA}}, {{TAG|ML_FF_CSIG}} | {{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, ML_FF_ISAMPLE, {{TAG|ML_FF_LCRITERIA}}, {{TAG|ML_FF_CSIG}} | ||
{{sc|ML_FF_CSLOPE|Examples|Examples that use this tag}} | {{sc|ML_FF_CSLOPE|Examples|Examples that use this tag}} | ||
Revision as of 12:01, 5 October 2020
ML_FF_CSLOPE = [real]
Default: ML_FF_CSLOPE =
Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
ML_FF_CSLOPE is a threshold for slope of 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_CSIG