Understand your dataset with XGBoost
Understand your dataset with XGBoost Tianqi Chen, Tong He, Michaël Benesty, Yuan Tang 1.1 Introduction The purpose of this vignette is to show you how to use XGBoost to discover and understand your own dataset better. This vignette is not about predicting anything (see XGBoost presentation). We will explain how to use XGBoost to highlight the link between the features of your data and the outcome.
Window functions
Window functions A window function is a variation on an aggregation function. Where an aggregation function, like sum() and mean(), takes n inputs and return a single value, a window function returns n values. The output of a window function depends on all its input values, so window functions don’t include functions that work element-wise, like + or round(). Window functions include variations on
Introduction to the rmongodb Package
MongoDB (www.mongodb.org) is a scalable, high-performance, document-oriented NoSQL database. The rmongodb package provides an interface from the statistical software R (www.r-project.org) to MongoDB and back using the mongodb-C library. This vignette will provide a first introduction to the rmongodb package and offer a lot of code to get stared. If you need anyhelp getting started with MongoDB pl
CRAN: Package data.table
Tyson Barrett [aut, cre], Matt Dowle [aut], Arun Srinivasan [aut], Jan Gorecki [aut], Michael Chirico [aut], Toby Hocking [aut], Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduard Antonyan [ctb], Markus Bonsch [ctb], Hugh Parsonage [ctb], Scott Ritchie [ctb], Kun Ren [ctb], Xianying Tan [ctb], Rick Saporta [ctb], Otto Seiskari [ctb], Xianghui Dong [ctb], Michel Lang [ctb], Watal
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Using checkpoint for reproducible research
Introduction to ggjoy
Introduction to tidyjson
Converting to and from Document-Term Matrix and Corpus objects
relaimpo: Relative Importance of Regressors in Linear Models
RTools: Toolchains for building R and R packages from source on Windows
mailR: A Utility to Send Emails from R
Visualizing Association Rules: Introduction to the R-extension Package rulesViz
CRAN: Package gdata
CRAN: Package multicore