knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(solvers)
set.seed(34) d <- randomProblem(100, 10, response="gaussian", density = 1, rho=0) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 10, response="gaussian", density = 1, rho=0) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 20, response="gaussian", density = 1, rho=0) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 50, response="gaussian", density = 1, rho=0) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(100, 10, response="gaussian", density = 1, rho=0.95) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 10, response="gaussian", density = 1, rho=0.95) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 20, response="gaussian", density = 1, rho=0.95) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
d <- randomProblem(1000, 50, response="gaussian", density = 1, rho=0.95) f <- getBenchmarks(d$x, d$y, family="gaussian", path_length = 20)
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