ML RDES SPARSDES: Difference between revisions
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{{DISPLAYTITLE:ML_RDES_SPARSDES}} | |||
{{TAGDEF|ML_RDES_SPARSDES|[real]|0.5}} | {{TAGDEF|ML_RDES_SPARSDES|[real]|0.5}} | ||
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The values for {{TAG|ML_RDES_SPARSDES}} must be chosen between <math>0 < r \leq 1</math>. | The values for {{TAG|ML_RDES_SPARSDES}} must be chosen between <math>0 < r \leq 1</math>. | ||
== Related | == Related tags and articles == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_LSPARSDES}}, {{TAG|ML_NRANK_SPARSDES}} | {{TAG|ML_LMLFF}}, {{TAG|ML_LSPARSDES}}, {{TAG|ML_NRANK_SPARSDES}} | ||
{{sc|ML_EPS_LOW|Examples|Examples that use this tag}} | {{sc|ML_EPS_LOW|Examples|Examples that use this tag}} | ||
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields | [[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] | ||
Revision as of 07:39, 7 April 2022
ML_RDES_SPARSDES = [real]
Default: ML_RDES_SPARSDES = 0.5
Description: This tag sets the ratio of the selected to the total number of descriptors within the angular descriptor sparsification (within the machine learning force field method).
For details on the theory of angular descriptor sparsification see here.
For details on how to use the sparsification see the tag ML_LSPARSDES.
The values for ML_RDES_SPARSDES must be chosen between .