ML CSIG: Difference between revisions
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{{DISPLAYTITLE:ML_CSIG}} | |||
{{TAGDEF|ML_CSIG|[real]|<math>0.4</math>}} | {{TAGDEF|ML_CSIG|[real]|<math>0.4</math>}} | ||
Description: Parameter used in the automatic determination of threshold {{TAG|ML_CTIFOR}} for Bayesian error estimation in the machine learning force field method. | Description: Parameter used in the automatic determination of threshold {{TAG|ML_CTIFOR}} for Bayesian error estimation in the machine learning force field method. | ||
---- | ---- | ||
The usage of this tag in combination with the learning algorithms is described here: [[Machine learning force field calculations: Basics#Threshold for error of forces|here]]. | |||
The standard error of the history of maximum Bayesian errors of the forces ({{TAG|ML_MHIS}}) and it's slope must be below {{TAG|ML_CSIG}} and {{TAG|ML_CSLOPE}} so that an update of the threshold for the maximum Bayesian error of forces {{TAG|ML_CTIFOR}} can take place. | |||
== Related | == Related tags and articles == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_MHIS}}, {{TAG|ML_CTIFOR}} | {{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_MHIS}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_CX}} | ||
{{sc|ML_CSIG|Examples|Examples that use this tag}} | {{sc|ML_CSIG|Examples|Examples that use this tag}} | ||
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[[Category:INCAR]][[Category:Machine | [[Category:INCAR tag]][[Category:Machine-learned force fields]] | ||
Latest revision as of 13:21, 8 April 2022
ML_CSIG = [real]
Default: ML_CSIG =
Description: Parameter used in the automatic determination of threshold ML_CTIFOR for Bayesian error estimation in the machine learning force field method.
The usage of this tag in combination with the learning algorithms is described here: here.
The standard error of the history of maximum Bayesian errors of the forces (ML_MHIS) and it's slope must be below ML_CSIG and ML_CSLOPE so that an update of the threshold for the maximum Bayesian error of forces ML_CTIFOR can take place.
Related tags and articles
ML_LMLFF, ML_ICRITERIA, ML_CSLOPE, ML_MHIS, ML_CTIFOR, ML_CX