ML CSIG: Difference between revisions

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Description: Parameter used in the automatic determination of threshold {{TAG|ML_CTIFOR}} for Bayesian error estimation in the machine learning force field method.
Description: Parameter used in the automatic determination of threshold {{TAG|ML_CTIFOR}} for Bayesian error estimation in the machine learning force field method.
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For details please read entry {{TAG|ML_ICRITERIA}} first. The parameter {{TAG|ML_CTIFOR}} is only updated, if the standard error of the collected Bayesian errors is below {{TAG|ML_CSIG}} times the mean of the collected Bayesian errors.
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]].


== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_MHIS}}, {{TAG|ML_CTIFOR}}
{{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_MHIS}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_CX}}


{{sc|ML_CSIG|Examples|Examples that use this tag}}
{{sc|ML_CSIG|Examples|Examples that use this tag}}

Revision as of 17:19, 21 October 2021

ML_CSIG = [real]
Default: ML_CSIG =  

Description: Parameter used in the automatic determination of threshold ML_CTIFOR 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_CSLOPE, ML_MHIS, ML_CTIFOR, ML_CX

Examples that use this tag