gbm.relimp: GBM plot of ordered relative influence and missing values.
In roywilsonLinc/gbmFns: Functions to enhance gbm analyses and reporting
Description
Usage
Arguments
Value
Examples
Description
gbm.relimp plots relative importances and number of NAs from gbm.
Usage
1
gbm.relimp(gbm.model, relimp.range)
Arguments
gbm.model
A gbm model to be plotted.
relimp.range
A vector of length 2 giving upper and lower
relative importance cut-offs
Value
plot of relative influence and NAs of gbm model.
Examples
1
2
3
4
## Not run:
gbm.relimp(gbm.model=gbm1,df=data1)
## End(Not run)
roywilsonLinc/gbmFns documentation built on May 27, 2019, 11:47 p.m.
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Description Usage Arguments Value Examples
Description
gbm.relimp plots relative importances and number of NAs from gbm.
Usage
1 | gbm.relimp(gbm.model, relimp.range)
|
Arguments
gbm.model |
A gbm model to be plotted. |
relimp.range |
A vector of length 2 giving upper and lower relative importance cut-offs |
Value
plot of relative influence and NAs of gbm model.
Examples
1 2 3 4 | ## Not run:
gbm.relimp(gbm.model=gbm1,df=data1)
## End(Not run)
|
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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