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Declarative Machine Learning
/*
* Licensed to the Apache Software Foundation (ASF) under one
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* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
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* under the License.
*/
package org.apache.sysml.runtime.instructions.spark.functions;
import java.util.ArrayList;
import org.apache.spark.api.java.function.PairFlatMapFunction;
import scala.Tuple2;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.WeightedCell;
import org.apache.sysml.runtime.util.UtilFunctions;
public class ExtractGroupNWeights implements PairFlatMapFunction,MatrixBlock>>, MatrixIndexes, WeightedCell> {
private static final long serialVersionUID = -188180042997588072L;
@Override
public Iterable> call(
Tuple2, MatrixBlock>> arg)
throws Exception
{
MatrixBlock group = arg._2._1._1;
MatrixBlock target = arg._2._1._2;
MatrixBlock weight = arg._2._2;
//sanity check matching block dimensions
if(group.getNumRows() != target.getNumRows() || group.getNumRows()!=target.getNumRows()) {
throw new Exception("The blocksize for group/target/weight blocks are mismatched: " + group.getNumRows() + ", " + target.getNumRows() + ", " + weight.getNumRows());
}
//output weighted cells
ArrayList> groupValuePairs = new ArrayList>();
for(int i = 0; i < group.getNumRows(); i++) {
WeightedCell weightedCell = new WeightedCell();
weightedCell.setValue(target.quickGetValue(i, 0));
weightedCell.setWeight(weight.quickGetValue(i, 0));
long groupVal = UtilFunctions.toLong(group.quickGetValue(i, 0));
if(groupVal < 1) {
throw new Exception("Expected group values to be greater than equal to 1 but found " + groupVal);
}
MatrixIndexes ix = new MatrixIndexes(groupVal, 1);
groupValuePairs.add(new Tuple2(ix, weightedCell));
}
return groupValuePairs;
}
}