Using xgboost with tidymodels

XGBoost It's an initial use C++ Compiled machine learning library , adopt XGBoost R Migrate from package to R. In the past few years ,XGBoost stay Kaggle The effectiveness of the competition made it very popular . stay Tychobra, XGBoost Is our preferred machine learning library .

stay 2016 Years and 2017 year ,Kaggle Dominated by two approaches : Gradient booster and deep learning . say concretely , Gradient enhancement is used for the availability of structured data , Deep learning is used for perception problems such as image classification . Practitioners of the former almost always use excellent XGBoost library .
Max Kuhn and Rstudio Of others have recently turned their attention away from caret Turned to tidymodels （caret Heirs of ）.“tidymodels” It's a R Collection of bags , They work together to simplify and enhance model training and optimization . With the recent release of tidymodels.org[1], We think it's time to tidymodels R Pack a chance .

We use... In this article tidymodels Package training and optimization XGBoost Model . What we use AmesHousing[2] Data sets , It contains housing data from Ames, Iowa . Our model will predict the sale price of the house .

# data cleaning
library(janitor)

# data prep
library(dplyr)

# tidymodels
library(rsample<