{"repo":"rstudio/sparkxgb","free":true,"listed":false,"github":"https://github.com/rstudio/sparkxgb","clone":"git clone https://github.com/rstudio/sparkxgb.git","description":"R interface for XGBoost on Spark","language":"R","stars":46,"topics":["machine-learning","r","rstats","spark","apache-spark","xgboost"],"license":null,"category":"machine-learning","readme_excerpt":"sparkxgb Overview sparkxgb is a sparklyr extension that provides an interface to XGBoost on Spark. Installation Development version You can install the development version of sparkxgb with: Example sparkxgb supports the familiar formula interface for specifying models: It also provides a Pipelines API, which means you can use a xgboost classifier or xgboost regressor in a pipeline as any Estimator , and do things like hyperparameter tuning:","default_branch":null,"files":null,"tree":[],"storefront":"/r/rstudio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rstudio/sparkxgb/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}