Package org.apache.mahout.cf.taste.hadoop.als

Source Code of org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper

/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file 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 "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.mahout.cf.taste.hadoop.als;

import com.google.common.base.Preconditions;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.apache.mahout.math.VectorWritable;
import org.apache.mahout.math.als.ImplicitFeedbackAlternatingLeastSquaresSolver;

import java.io.IOException;

/** Solving mapper that can be safely executed using multiple threads */
public class SolveImplicitFeedbackMapper
    extends SharingMapper<IntWritable,VectorWritable,IntWritable,VectorWritable,
    ImplicitFeedbackAlternatingLeastSquaresSolver> {

  private final VectorWritable uiOrmj = new VectorWritable();

  @Override
  ImplicitFeedbackAlternatingLeastSquaresSolver createSharedInstance(Context ctx) throws IOException {
    Configuration conf = ctx.getConfiguration();

    double lambda = Double.parseDouble(conf.get(ParallelALSFactorizationJob.LAMBDA));
    double alpha = Double.parseDouble(conf.get(ParallelALSFactorizationJob.ALPHA));
    int numFeatures = conf.getInt(ParallelALSFactorizationJob.NUM_FEATURES, -1);
    int numEntities = Integer.parseInt(conf.get(ParallelALSFactorizationJob.NUM_ENTITIES));

    Preconditions.checkArgument(numFeatures > 0, "numFeatures was not set correctly!");

    return new ImplicitFeedbackAlternatingLeastSquaresSolver(numFeatures, lambda, alpha,
        ALS.readMatrixByRowsFromDistributedCache(numEntities, conf));
  }

  @Override
  protected void map(IntWritable userOrItemID, VectorWritable ratingsWritable, Context ctx)
    throws IOException, InterruptedException {
    ImplicitFeedbackAlternatingLeastSquaresSolver solver = getSharedInstance();
    uiOrmj.set(solver.solve(ratingsWritable.get()));
    ctx.write(userOrItemID, uiOrmj);
  }

}
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