I'm using eleaps to build a forward selection algorithm iteratively, but
the program unexpectedly crashes. In fact, it completely closes my session
in RStudio. The first 39 steps work fine, but on the 40th step, it
unexpectedly stops with no errors. I've isolated the error to the code
snippit below
I have a very simple maximization problem where I'm solving for the vector
x:
objective function:
w'x = value to maximize
box constraints (for all elements of w):
low < x < high
equality constraint:
sum(x) = 1
But I get inconsistent results depending on what starting values I. I've
tried variou
I'm running into an unexpected error using the glmnet and Matrix packages.
I have a matrix that is 8 million rows by 100 columns with 75% of the
entries being zero. When I run a vanilla glmnet logistic model on my server
with 300 GB of RAM, the task completes in 20 minutes:
> x # 8 million x 100
For me, I've found that I can easily work with 1 GB datasets. This includes
linear models and aggregations. Working with 5 GB becomes cumbersome.
Anything over that, and R croaks. I'm using a dual quad core Dell with 48
GB of RAM.
I'm wondering if there is anyone out there running jobs in the 1
Anyone know of a min hash algorithm written in R?
--Nathan
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My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requi
My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requi
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