oncrawlExplainModel: Explain XGBoost Model by displaying each importance variables

In oncrawlR: Machine Learning for S.E.O

Description

Explain XGBoost Model by displaying each importance variables

Usage

oncrawlExplainModel(model, x, y, max = 10, path = tempdir())

Arguments

model	your XgBoost model
x	your training data
y	your predicted data
max	the number of importance variable you want to explain
path	path of your conf file

Value

graphs

Author(s)

Vincent Terrasi

Examples

## Not run: 
list <- oncrawlTrainModel(dataset,200)
oncrawlExplainModel(list$model, list$x, list$y, 3)

## End(Not run)

oncrawlR documentation built on Jan. 31, 2020, 5:09 p.m.