The sequel to Laurae R-package.
Each function has at least one corresponding vignette to look up for an example using help_me("my_function_name").
It can be computationally expensive to build vignettes. Build without vignettes using the following:
devtools::install_github("Laurae2/Laurae2")If you want to build vignettes to get a significantly better help:
devtools::install_github("Laurae2/Laurae2", build_vignettes = TRUE)Pre-requirement installation:
install.packages("devtools")
install.packages(c("knitr", "rmarkdown", "mlrMBO", "lhs", "smoof", "ParamHelpers", "animation"))xgboost installation, commit dmlc/xgboost@017acf5 seems best currently as it has gblinear improvements. Make sure to use the right compiler below:
devtools::install_github("Laurae2/xgbdl")
# gcc
xgbdl::xgb.dl(compiler = "gcc", commit = "017acf5", use_avx = FALSE, use_gpu = FALSE)
# Visual Studio 2015, use AVX if you wish to
xgbdl::xgb.dl(compiler = "Visual Studio 14 2015 Win64", commit = "017acf5", use_avx = FALSE, use_gpu = FALSE)
# Visual Studio 2017, use AVX if you wish to
xgbdl::xgb.dl(compiler = "Visual Studio 15 2017 Win64", commit = "017acf5", use_avx = FALSE, use_gpu = FALSE)What can it do:
- Bayesian Optimization (time-limited, iteration-limited, initialization-limited)
- Create data.frame from [R,C] matrix-like format
- Create data.table from [R,C] matrix-like format
Package requirements:
- knitr
- rmarkdown
- mlrMBO
- lhs
- smoof
- ParamHelpers
- animation
- xgboost
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