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sparkxgb  

Interface for 'XGBoost' on 'Apache Spark'
View on CRAN: Click here


Download and install sparkxgb package within the R console
Install from CRAN:
install.packages("sparkxgb")

Install from Github:
library("remotes")
install_github("cran/sparkxgb")

Install by package version:
library("remotes")
install_version("sparkxgb", "0.2.0")



Attach the package and use:
library("sparkxgb")
Maintained by
Edgar Ruiz
[Scholar Profile | Author Map]
First Published: 2019-03-13
Latest Update: 2021-02-23
Description:
A 'sparklyr' <https://spark.rstudio.com/> extension that provides an R interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'. 'XGBoost' is an optimized distributed gradient boosting library.
How to cite:
Edgar Ruiz (2019). sparkxgb: Interface for 'XGBoost' on 'Apache Spark'. R package version 0.2.0, https://cran.r-project.org/web/packages/sparkxgb. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-03-13 18:30), 0.1.1 (2021-02-23 11:20)
Other packages that cited sparkxgb R package
View sparkxgb citation profile
Other R packages that sparkxgb depends, imports, suggests or enhances
Complete documentation for sparkxgb
Functions, R codes and Examples using the sparkxgb R package
Some associated functions: xgboost_classifier . xgboost_regressor . 
Some associated R codes: dependencies.R . imports.R . xgboost_classifier.R . xgboost_regressor.R .  Full sparkxgb package functions and examples
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