ML CSLOPE: Difference between revisions
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{{TAGDEF|ML_FF_CSLOPE|[real]|<math> | {{TAGDEF|ML_FF_CSLOPE|[real]|<math>0.1</math>}} | ||
Description: | Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method. | ||
---- | ---- | ||
{{TAG|ML_FF_CSLOPE}} is a threshold for slope of the stored estimated errors used to determine the criteria when {{TAG|ML_FF_LCRITERIA}}=''.TRUE.'' is set. | |||
== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG|ML_FF_LMLFF}}, {{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}} | ||
---- | ---- | ||
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] | [[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]] | ||
Revision as of 13:48, 13 May 2019
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_LCRITERIA, ML_FF_CSIG