ML CSLOPE: Difference between revisions

Revision as of 10:49, 30 January 2020

ML_FF_CSLOPE = [real]
Default: ML_FF_CSLOPE = $0.1$

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

ML_FF_CSLOPE is a threshold for slope of the stored estimated errors used to determine the criteria when ML_FF_LCRITERIA=.TRUE. is set.

Revision as of 13:48, 13 May 2019 (view source) Karsai (talk \| contribs) No edit summary ← Older edit		Revision as of 10:49, 30 January 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:VASP6~~]]		[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]]