Hi,
I am looking to build a random forest regression model with a pretty large
amount of sparse data. I noticed that I cannot fit the random forest model
with a sparse matrix. Unfortunately, a dense matrix is too large to fit in
memory. What are my options?
For reference, I have just over 400k features and just over 200k training
examples
------------------------------------------------------------------------------
Try New Relic Now & We'll Send You this Cool Shirt
New Relic is the only SaaS-based application performance monitoring service
that delivers powerful full stack analytics. Optimize and monitor your
browser, app, & servers with just a few lines of code. Try New Relic
and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
