ML_ICRITERIA
ML_ICRITERIA = [integer]
Default: ML_ICRITERIA = 1
Description: Decides whether (ML_ICRITERIA>0) or how the Bayesian error threshold (ML_CTIFOR) is updated within the machine learning force field method. ML_CTIFOR determines whether a first principles calculations is performed.
The usage of this tag in combination with the learning algorithms is described here: here.
The following options are possible for ML_ICRITERIA:
- ML_ICRITERIA = 0: No update of the threshold ML_CTIFOR is done.
- ML_ICRITERIA = 1: Update of criteria using average of the Bayesian errors of the forces from history (see description of method here).
- ML_ICRITERIA = 2: Update of criteria using gliding average of Bayesian errors (probably more robust but not well tested).
For the options ML_ICRITERIA = 1 and ML_ICRITERIA = 2, ML_CTIFOR is typically set to the average of previous Bayesian errors. The tag ML_XMIX allows to fine tune how ML_CTIFOR is updated.
Related tags and articles
ML_LMLFF, ML_CTIFOR, ML_CSLOPE, ML_CSIG, ML_MHIS, ML_XMIX