ML CSIG: Difference between revisions
(Created page with " {{TAGDEF|ML_FF_CSIG|[real]|<math>2\times10^{-1}</math>}} Description: ---- == Related Tags and Sections == {{sc|ML_FF_CSIG|Examples|Examples that use this tag}} ---- Ca...") |
No edit summary |
||
| Line 1: | Line 1: | ||
{{TAGDEF|ML_FF_CSIG|[real]|<math>2 | {{TAGDEF|ML_FF_CSIG|[real]|<math>0.2</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_CSIG}} is a threshold for variance in 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_CSLOPE}} | |||
{{sc|ML_FF_CSIG|Examples|Examples that use this tag}} | {{sc|ML_FF_CSIG|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 13:45, 13 May 2019
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_LCRITERIA, ML_FF_CSLOPE