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...3 cap-shape=convex cap-shape=flat 2934 2539 cap-shape=knobbed cap-shape=sunken 644 24 cap-surface=fibrous cap-surface=grooves 1867 4 cap-surface=scaly cap-surface=smooth 2607 2035 cap-color=brown cap-color=buf...

...cap-shape=convex cap-shape=flat > 2934 2539 > cap-shape=knobbed cap-shape=sunken > 644 24 > cap-surface=fibrous cap-surface=grooves > 1867 4 > cap-surface=scaly cap-surface=smooth > 2607 2035 > cap-color=brown...

Dear R list, I came across dgCMatrix. I believe this class is associated with sparse matrix. I see there are 8 attributes to train$data, I am confused why are there so many, some are vectors, what do they do? Here's the R code: library(xgboost) data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') train <- agaricus.train test <- agaricus.test

...=convex cap-shape=flat >> 2934 2539 >> cap-shape=knobbed cap-shape=sunken >> 644 24 >> cap-surface=fibrous cap-surface=grooves >> 1867 4 >> cap-surface=scaly cap-surface=smooth >> 2607 2035 >> cap-color=brown...

...>> 369 3 >> cap-shape=convex cap-shape=flat >> 2934 2539 >> cap-shape=knobbed cap-shape=sunken >> 644 24 >> cap-surface=fibrous cap-surface=grooves >> 1867 4 >> cap-surface=scaly cap-surface=smooth >> 2607 2035 >> cap-color=brown cap-color=buff >> 1816 >> # now s...

...;>> 369 3 >>> cap-shape=convex cap-shape=flat >>> 2934 2539 >>> cap-shape=knobbed cap-shape=sunken >>> 644 24 >>> cap-surface=fibrous cap-surface=grooves >>> 1867 4 >>> cap-surface=scaly cap-surface=smooth >>> 2607 2035 >>> cap-color=brown cap-color=buff >>> 1816 >>> # now s...