ML CSLOPE

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Revision as of 07:19, 16 April 2021 by Kresse (talk | contribs) (Rewritten for clarity)

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.



For details please read entry ML_FF_LCRITERIA first. The parameter ML_FF_CTIFOR is only updated, if the absolute of the slope of the collected Bayesian errors is below ML_FF_CSLOPE times the mean of the collected Bayesian errors. In practice, the slope and the standard errors are correlated, typically the standard errors is at least twice as large as the slope. We recommend to vary on ML_FF_CSIG and keep ML_FF_CSLOPE fixed to its default value.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_IERR, ML_FF_ISAMPLE, ML_FF_LCRITERIA, ML_FF_CSIG, ML_FF_MHIS

Examples that use this tag