You can remove 0.5 from all non-zeros. -Xiangrui On Wed, Oct 29, 2014 at 9:20 PM, Sameer Tilak <ssti...@live.com> wrote: > Hi All, > I have my sparse data in libsvm format. > > val examples: RDD[LabeledPoint] = MLUtils.loadLibSVMFile(sc, > "mllib/data/sample_libsvm_data.txt") > > I am running Linear regression. Let us say that my data has following entry: > 1 1:0 4:1 > > I think it will assume 0 for indices 2 and 3, right? I would like to make > default values to be 0.5 instead of 0. Is it possible? If not, I will have > to switch to dense data and it will significantly increase the data size for > me.
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