ML CSLOPE: Difference between revisions

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Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
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The usage of this tag in combination with the learning algorithms is described here: [[Machine learning force field calculations: Important algorithms#Threshold for error of forces|here]].
The usage of this tag in combination with the learning algorithms is described here: [[Machine learning force field calculations: Basics#Threshold for error of forces|here]].


== Related Tags and Sections ==
== Related Tags and Sections ==

Revision as of 10:10, 2 November 2021

ML_CSLOPE = [real]
Default: ML_CSLOPE =  

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


The usage of this tag in combination with the learning algorithms is described here: here.

Related Tags and Sections

ML_LMLFF, ML_ICRITERIA, ML_CSIG, ML_MHIS, ML_CX

Examples that use this tag