ML CSLOPE: Difference between revisions
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{{TAGDEF|ML_CSLOPE|[real]|<math>0.2</math>}} | {{TAGDEF|ML_CSLOPE|[real]|<math>0.2</math>}} | ||
Description: Parameter used in the automatic determination of threshold for | Description: Parameter used in the automatic determination of threshold for error estimation in the machine learning force field method. | ||
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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 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 | The standard error of the history of maximum estimated 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 estimated error of forces {{TAG|ML_CTIFOR}} can take place. | ||
== Related tags and articles == | == Related tags and articles == | ||
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[[Category:INCAR tag]][[Category:Machine | [[Category:INCAR tag]][[Category:Machine-learned force fields]] | ||
Latest revision as of 12:29, 12 June 2024
ML_CSLOPE = [real]
Default: ML_CSLOPE =
Description: Parameter used in the automatic determination of threshold for 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 estimated 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 estimated error of forces ML_CTIFOR can take place.
Related tags and articles
ML_LMLFF, ML_ICRITERIA, ML_CSIG, ML_MHIS, ML_CX