extract.coef.xgb.Booster: extract.coef.xgb.Booster

In coefplot: Plots Coefficients from Fitted Models

extract.coef.xgb.Booster

Description

Extract Coefficient Information from Models

Usage

## S3 method for class 'xgb.Booster'
extract.coef(
  model,
  feature_names = NULL,
  removeNonSelected = TRUE,
  zero_threshold = 0.001,
  ...
)

Arguments

model	Model object from which to extract information.
feature_names	Names of coefficients
removeNonSelected	If TRUE (default) do not return the non-selected (0) coefficients
zero_threshold	Since coefficients from xgboost are not exactly zero, this is the threshold under which a coefficient is considered zero
...	Further arguments

Details

Gets the coefficient values and variable names from a model. Since xgboost does not have standard errors, those will just be NA.

Value

A data.frame containing the coefficient, the standard error and the variable name.

Author(s)

Jared P. Lander

Examples

library(xgboost)
data(diamonds, package='ggplot2')
diaX <- useful::build.x(price ~ carat + cut + x, data=diamonds, contrasts=FALSE)
diaY <- useful::build.y(price ~ carat + cut + x, data=diamonds)
xg1 <- xgb.train(data=xgb.DMatrix(data=diaX, label=diaY), 
booster='gblinear',
objective='reg:squarederror', eval_metric='rmse',
nrounds=50
)
extract.coef(xg1)
extract.coef(xg1, zero_threshold=0)
extract.coef(xg1, feature_names=colnames(diaX))

coefplot documentation built on March 18, 2022, 7:58 p.m.