plot.interactions {EIX} | R Documentation |
Plot importance of interactions or pairs
Description
This function plots the importance ranking of interactions and pairs in the model.
Usage
## S3 method for class 'interactions'
plot(x, ...)
Arguments
x |
a result from the |
... |
other parameters. |
Details
NOTE: Be careful use of this function with option="pairs"
parameter,
because high gain of pair can be a result of high gain of child variable.
As strong interactions should be considered only these pairs of variables,
where variable on the bottom (child) has higher gain than variable on the top (parent).
Value
a ggplot object
Examples
library("EIX")
library("Matrix")
sm <- sparse.model.matrix(left ~ . - 1, data = HR_data)
library("xgboost")
param <- list(objective = "binary:logistic", max_depth = 2)
xgb_model <- xgboost(sm, params = param, label = HR_data[, left] == 1, nrounds = 25, verbose=0)
inter <- interactions(xgb_model, sm, option = "interactions")
inter
plot(inter)
inter <- interactions(xgb_model, sm, option = "pairs")
inter
plot(inter)
library(lightgbm)
train_data <- lgb.Dataset(sm, label = HR_data[, left] == 1)
params <- list(objective = "binary", max_depth = 2)
lgb_model <- lgb.train(params, train_data, 25)
inter <- interactions(lgb_model, sm, option = "interactions")
inter
plot(inter)
inter <- interactions(lgb_model, sm, option = "pairs")
inter
plot(inter)
[Package EIX version 1.2.0 Index]