NEEMP:Reports: Difference between revisions
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| [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-summary.png| 620px]] | | [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-summary.png| 620px]] | ||
| [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-O1.png| | | [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-O1.png| 420px]] | ||
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|'''''Figure 2:''''' Detailed view of the '''LR''' parametrization settings for two distinct '''NEEMP''' executions differing in the best-performance selection metrics (''R<sup>2</sup>'' in left side image and ''RMSD'' in the right side image). | |'''''Figure 2:''''' Detailed view of the '''LR''' parametrization settings for two distinct '''NEEMP''' executions differing in the best-performance selection metrics (''R<sup>2</sup>'' in left side image and ''RMSD'' in the right side image). | ||
| '''''Figure 10:''''' Abridged output for the k search progress. For each k value a set of parameters is generated and evaluated. In this particular instance, the parameters set with the lowest ''RMSD'' value is chosen. | | '''''Figure 10:''''' Abridged output for the k search progress. For each k value a set of parameters is generated and evaluated. In this particular instance, the parameters set with the lowest ''RMSD'' value is chosen. | ||
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Revision as of 16:49, 23 June 2016
All the graphs in NEEMP's article showing the correlation between reference charges and EEM charges, have been generated employing two python scripts, nut-report.py and nut.plot.py. The required input file must contain the charge statistics as shown in figure and can be obtained running NEEMP in calculation or quality validation mode with the option --chg-stats-out
(see here for details).

.
To generate the graphs the scripts must be called in the simple following way:
First:
- ./nut-report.py charge-stat-file
Then:
- ./nut-plot.py set01-data.csv colorful 5
- ./nut-plot.py set01-data.csv blackwhite 5
- ./nut-plot.py set01-data.csv colorfulbig 5
- ./nut-plot.py set01-data.csv colorful-zoomed 5
- ./nut-plot.py set01-data.csv blackwhite-zoomed 5
- ./nut-plot.py set01-data.csv colorfulbig-zoomed 5
Figure and demonstrate as the correlation graphs include both all atom and individual atomic types dependency.