tdmEnvTReportSens: Function to generate a report with sensitivity plot.
In TDMR: Tuned Data Mining in R
Description
Usage
Arguments
See Also
View source: R/tdmEnvTMakeNew.r
Description
The sensitivity curves are based on a metamodel which is a random forest with 100 trees
fitted to the result points from RES-file. The plot contains:
x-axis: ROI for each parameter normalized to [-1,1]
y-axis:
Usage
1
tdmEnvTReportSens(spotConfig)
Arguments
spotConfig
the configuration list of all spot parameters
See Also
TDMR documentation built on March 3, 2020, 1:06 a.m.
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Description Usage Arguments See Also
View source: R/tdmEnvTMakeNew.r
Description
The sensitivity curves are based on a metamodel which is a random forest with 100 trees fitted to the result points from RES-file. The plot contains: x-axis: ROI for each parameter normalized to [-1,1] y-axis:
Usage
1 | tdmEnvTReportSens(spotConfig)
|
Arguments
spotConfig |
the configuration list of all spot parameters |
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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