ML MCONF NEW: Difference between revisions
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{{sc|ML_MCONF_NEW|Examples|Examples that use this tag}} | {{sc|ML_MCONF_NEW|Examples|Examples that use this tag}} | ||
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{{TAG|ML_LMLFF}}, {{TAG|ML_MCONF}},{{TAG|ML_CTIFOR}}, {{TAG|ML_CDOUB}} | {{TAG|ML_LMLFF}}, {{TAG|ML_MCONF}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_CDOUB}} | ||
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]] | [[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]] | ||
Revision as of 11:51, 11 January 2022
ML_MCONF_NEW = [integer]
Default: ML_MCONF_NEW = 5
Description: This tag sets the number of configurations that are stored temporarily as candidates for the training data in the machine learning force field method.
| Warning: This value is empirically set and should usually not be touched. |
The usage of this tag in combination with the learning algorithms is described here: here.