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ML MHIS: Difference between revisions

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{{TAGDEF|ML_MHIS|[integer]|10}}
{{TAGDEF|ML_MHIS|[integer]|10}}


Description: This flag sets the number of estimated errors stored in memory to determine the threshold for the Bayesian error in the machine learning force field method.
Description: This tag sets the number of estimated errors stored in memory to determine the threshold for the Bayesian error in the machine learning force field method.
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Revision as of 21:10, 11 October 2021

ML_MHIS = [integer]
Default: ML_MHIS = 10 

Description: This tag sets the number of estimated errors stored in memory to determine the threshold for the Bayesian error in the machine learning force field method.


This flag is only used if ML_ICRITERIA > 0. The ML code stores ML_MHIS Bayesian errors from previous training steps. Immediately after a training step, the Bayesian error estimate for the forces are reevaluated for the just added structure, and the maximum error of the forces is stored in the history.

Related Tags and Sections

ML_LMLFF, ML_ICRITERIA, ML_CTIFOR

Examples that use this tag