johnmyleswhite

# Generate (x, y) data with a sparse set of active predictors
# prob controls the frequency of predictors having zero effect
function simulate_date(n::Integer, p::Integer, prob::Real)
  x = randn(n, p)
	beta = randn(p)
	for j in 1:p
		if rand() < prob
			beta[j] = 0.0
		end
	end

P7h

-server
-Xms2048m
-Xmx2048m
-XX:NewSize=512m
-XX:MaxNewSize=512m
-XX:PermSize=512m
-XX:MaxPermSize=512m
-XX:+UseParNewGC
-XX:ParallelGCThreads=4
-XX:MaxTenuringThreshold=1

pprett

"""
Benchmark sklearn's SGDClassifier on RCV1-ccat dataset.

So generate the input files see http://leon.bottou.org/projects/sgd .

Results
-------
ACC: 0.9479
AUC: 0.9476

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname