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.
