Created
July 25, 2014 13:43
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| package com.etsy.scalding.jobs.conjecture | |
| import com.etsy.scalding.conjecture.NNMF | |
| import com.twitter.scalding.{Args, Job, Tsv, SequenceFile} | |
| import org.apache.commons.math3.linear.RealVector | |
| class NNMFTest(args : Args) extends Job(args) { | |
| val iter = args.getOrElse("iter", "0").toInt | |
| val iters = args.getOrElse("iters", "20").toInt | |
| val base_dir = args.getOrElse("base_dir", "nnmf_test") | |
| val A_path = args.getOrElse("A", "critics.tsv") | |
| val A = Tsv(A_path, ('row, 'col, 'val)) | |
| .map('val -> 'val){v : String => v.toDouble} | |
| val HW = if(iter == 0) { | |
| // just initialize | |
| NNMF.initGaussian(A, 10) | |
| } else { | |
| // Last iterations output. | |
| (SequenceFile(base_dir + "/H/" + (iter-1), ('row, 'vec)).read, | |
| SequenceFile(base_dir + "/W/" + (iter-1), ('col, 'vec)).read) | |
| } | |
| val HW_ = NNMF.updateGaussian(A, HW._1, HW._2) | |
| HW_._1.write(SequenceFile(base_dir + "/H/" + iter)) | |
| HW_._2.write(SequenceFile(base_dir + "/W/" + iter)) | |
| HW._1.crossWithSmaller(HW._2.rename('vec -> 'vec2)) | |
| .map(('vec, 'vec2) -> 'pred){x : (RealVector, RealVector) => x._1.dotProduct(x._2)} | |
| .project('row, 'col, 'pred) | |
| .joinWithSmaller(('row, 'col) -> ('row_, 'col_), A.rename(('row, 'col) -> ('row_, 'col_)), new cascading.pipe.joiner.OuterJoin()) | |
| .mapTo(('val, 'pred) -> 'err){x : (Double, Double) => val d = x._1 - x._2; d*d} | |
| .groupAll{_.average('err)} | |
| .write(Tsv(base_dir+"/err/"+iter)) | |
| // Start more iterations possibly. | |
| override def next : Option[Job] = { | |
| val new_args = args + (("iter", Some((iter+1).toString))) | |
| if(iter < iters - 1) { | |
| Some(clone(new_args)) | |
| } else { | |
| None | |
| } | |
| } | |
| } |
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