ML LSPARSDES: Difference between revisions
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{{DISPLAYTITLE:ML_LSPARSDES}} | |||
{{TAGDEF|ML_LSPARSDES|[logical]|.FALSE.}} | {{TAGDEF|ML_LSPARSDES|[logical]|.FALSE.}} | ||
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*The ratio of the selected descriptors to the total number of descriptors: {{TAG|ML_RDES_SPARSDES}}. This tag controls the extent of the sparsification. | *The ratio of the selected descriptors to the total number of descriptors: {{TAG|ML_RDES_SPARSDES}}. This tag controls the extent of the sparsification. | ||
== Related | == Related tags and articles == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_NRANK_SPARSDES}}, {{TAG|ML_RDES_SPARSDES}} | {{TAG|ML_LMLFF}}, {{TAG|ML_NRANK_SPARSDES}}, {{TAG|ML_RDES_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 07:33, 7 April 2022
ML_LSPARSDES = [logical]
Default: ML_LSPARSDES = .FALSE.
Description: This tag specifies whether angular descriptor sparsification is enabled within the machine learning force field method.
For details on the theory how angular descriptor are sparsified see here.
To use the sparsification of angular descriptors set the following tags:
- ML_LSPARSDES=.TRUE..
- The number of the highest eigenvalues to which the correlation is measured via the leverage scoring: ML_NRANK_SPARSDES.
- The ratio of the selected descriptors to the total number of descriptors: ML_RDES_SPARSDES. This tag controls the extent of the sparsification.
