partial_plot_predict: Function to calculate partial dependencies from a...
In skgrange/enlightenr: Convenient and robust functions for fancy statistical techniques
Description
Usage
Arguments
Value
Author(s)
View source: R/random_forest_helpers.R
Description
Function to calculate partial dependencies from a randomForest model.
Usage
1
2
partial_plot_predict(list_model, df, variable, n = 100,
as.character = FALSE)
Arguments
list_model
A randomForest model.
df
Data frame to be used for prediction.
variable
The variable to calculate the partial dependency of.
n
Number of observations to predict?
as.character
Should the variables be forced to be a character data
type? This is helpful when binding many returns from
partial_plot_predict.
Value
Data frame.
Author(s)
Stuart K. Grange
skgrange/enlightenr documentation built on May 30, 2019, 1:03 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/random_forest_helpers.R
Description
Function to calculate partial dependencies from a randomForest model.
Usage
1 2 | partial_plot_predict(list_model, df, variable, n = 100,
as.character = FALSE)
|
Arguments
list_model |
A |
df |
Data frame to be used for prediction. |
variable |
The variable to calculate the partial dependency of. |
n |
Number of observations to predict? |
as.character |
Should the variables be forced to be a character data
type? This is helpful when binding many returns from
|
Value
Data frame.
Author(s)
Stuart K. Grange
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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