ML CSIG: Difference between revisions

Revision as of 15:15, 29 February 2020

ML_FF_CSIG = [real]
Default: ML_FF_CSIG = $0.2$

Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.

ML_FF_CSIG is a threshold for variance in the stored estimated errors used to determine the criteria when ML_FF_LCRITERIA=.TRUE. is set.

Revision as of 10:49, 30 January 2020 (view source) Karsai (talk \| contribs) No edit summary ← Older edit		Revision as of 15:15, 29 February 2020 (view source) Karsai (talk \| contribs) No edit summary Newer edit →
Line 12:		Line 12:
	----		----

	[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]]		[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]]