sd_pdp: Function to calculate standard deviation of partial...
In thiyangt/explainer: Machine Learning Interpretability Tools
Description
Usage
Arguments
Value
Author(s)
Description
PDP-based variable importance measure: standard deviation of partial dependence curves
Usage
1
sd_pdp(icedata, variable, classlabelvec)
Arguments
icedata
ice calculations for a specific variable(output of icecal)
variable
name of the interested feature
classlabelvec
vector of names corresponds to classlabels
Value
a dataframe including corresponding probability for each class
Author(s)
Thiyanga Talagala
thiyangt/explainer documentation built on July 20, 2019, 6:58 p.m.
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Description Usage Arguments Value Author(s)
Description
PDP-based variable importance measure: standard deviation of partial dependence curves
Usage
1 | sd_pdp(icedata, variable, classlabelvec)
|
Arguments
icedata |
ice calculations for a specific variable(output of icecal) |
variable |
name of the interested feature |
classlabelvec |
vector of names corresponds to classlabels |
Value
a dataframe including corresponding probability for each class
Author(s)
Thiyanga Talagala
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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