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Posted to user@spark.apache.org by Sameer Tilak <ss...@live.com> on 2014/10/30 05:20:57 UTC
MLLib: libsvm - default value initialization
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.
Re: MLLib: libsvm - default value initialization
Posted by Xiangrui Meng <me...@gmail.com>.
You can remove 0.5 from all non-zeros. -Xiangrui
On Wed, Oct 29, 2014 at 9:20 PM, Sameer Tilak <ss...@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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