Example usage for org.apache.mahout.cf.taste.impl.recommender.svd PersistenceStrategy load

Introduction

In this page you can find the example usage for org.apache.mahout.cf.taste.impl.recommender.svd PersistenceStrategy load.

Prototype

Factorization load() throws IOException;

Source Link

Document

Load a factorization from a persistent store.

Usage

From source file:com.recsys.svd.CustomSVDRecommender.java

License:Apache License

/**
 * Create an SVDRecommender using a persistent store to cache
 * factorizations. A factorization is loaded from the store if present,
 * otherwise a new factorization is computed and saved in the store.
 *
 * The {@link #refresh(java.util.Collection) refresh} method recomputes the
 * factorization and overwrites the store.
 *
 * @param dataModel//from   www .  ja  v a2  s  . c  om
 * @param factorizer
 * @param candidateItemsStrategy
 * @param persistenceStrategy
 *
 * @throws TasteException
 */
public CustomSVDRecommender(DataModel dataModel, Factorizer factorizer,
        CandidateItemsStrategy candidateItemsStrategy, PersistenceStrategy persistenceStrategy)
        throws TasteException {
    super(dataModel, candidateItemsStrategy);
    this.factorizer = Preconditions.checkNotNull(factorizer);
    this.persistenceStrategy = Preconditions.checkNotNull(persistenceStrategy);
    try {
        factorization = persistenceStrategy.load();
    } catch (IOException e) {
        throw new TasteException("Error loading factorization", e);
    }

    if (factorization == null) {
        train();
    }

    refreshHelper = new RefreshHelper(new Callable<Object>() {
        @Override
        public Object call() throws TasteException {
            train();
            return null;
        }
    });
    refreshHelper.addDependency(getDataModel());
    refreshHelper.addDependency(factorizer);
}

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From source file:org.plista.kornakapi.core.recommender.FoldingFactorizationBasedRecommender.java

License:Apache License

public FoldingFactorizationBasedRecommender(DataModel dataModel, CandidateItemsStrategy candidateItemsStrategy,
        PersistenceStrategy persistenceStrategy, int numEstimationThreads) throws TasteException {
    super(dataModel, candidateItemsStrategy);

    this.persistenceStrategy = Preconditions.checkNotNull(persistenceStrategy);
    try {//from   w w  w .  ja  va  2s . c  o  m
        Factorization factorization = persistenceStrategy.load();
        Preconditions.checkNotNull(factorization, "PersistenceStrategy must provide an initial factorization");
        foldingFactorization = new FoldingFactorization(factorization);
    } catch (IOException e) {
        throw new TasteException("Error loading factorization", e);
    }
    this.numEstimationThreads = numEstimationThreads;

    refreshHelper = new RefreshHelper(new Callable<Object>() {
        @Override
        public Object call() throws TasteException {
            reloadFactorization();
            return null;
        }
    });
    refreshHelper.addDependency(getDataModel());
    refreshHelper.addDependency(candidateItemsStrategy);
}

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From source file:recommender.CustomRecommender.java

/**
 * Create a custom SVDRecommender using a persistent store to cache
 * factorizations. A factorization is loaded from the store if present,
 * otherwise a new factorization is computed and saved in the store.
 *
 * The {@link #refresh(java.util.Collection) refresh} method recomputes the
 * factorization and overwrites the store.
 *
 * @param dataModel/*from w ww .  j  a v a 2s .  c o m*/
 * @param factorizer
 * @param candidateItemsStrategy
 * @param persistenceStrategy
 *
 * @throws TasteException
 */
public CustomRecommender(DataModel dataModel, Factorizer factorizer,
        CandidateItemsStrategy candidateItemsStrategy, PersistenceStrategy persistenceStrategy)
        throws TasteException {
    super(dataModel, candidateItemsStrategy);
    this.factorizer = Preconditions.checkNotNull(factorizer);
    this.persistenceStrategy = Preconditions.checkNotNull(persistenceStrategy);
    try {
        factorization = persistenceStrategy.load();
    } catch (IOException e) {
        throw new TasteException("Error loading factorization", e);
    }

    if (factorization == null) {
        train();
    }

    refreshHelper = new RefreshHelper(new Callable<Object>() {
        @Override
        public Object call() throws TasteException {
            train();
            return null;
        }
    });
    refreshHelper.addDependency(getDataModel());
    refreshHelper.addDependency(factorizer);
    refreshHelper.addDependency(candidateItemsStrategy);
}

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From source file:recommender.MyRecommender.java

/**
 * Create a custom SVDRecommender using a persistent store to cache
 * factorizations. A factorization is loaded from the store if present,
 * otherwise a new factorization is computed and saved in the store.
 *
 * The {@link #refresh(java.util.Collection) refresh} method recomputes the
 * factorization and overwrites the store.
 *
 * @param dataModel//from   w  w  w. ja  va  2  s . c o m
 * @param factorizer
 * @param candidateItemsStrategy
 * @param persistenceStrategy
 *
 * @throws TasteException
 */
public MyRecommender(DataModel dataModel, Factorizer factorizer, CandidateItemsStrategy candidateItemsStrategy,
        PersistenceStrategy persistenceStrategy) throws TasteException {
    super(dataModel, candidateItemsStrategy);
    this.factorizer = Preconditions.checkNotNull(factorizer);
    this.persistenceStrategy = Preconditions.checkNotNull(persistenceStrategy);
    try {
        factorization = persistenceStrategy.load();
    } catch (IOException e) {
        throw new TasteException("Error loading factorization", e);
    }

    if (factorization == null) {
        train();
    }

    refreshHelper = new RefreshHelper(new Callable<Object>() {
        @Override
        public Object call() throws TasteException {
            train();
            return null;
        }
    });
    refreshHelper.addDependency(getDataModel());
    refreshHelper.addDependency(factorizer);
    refreshHelper.addDependency(candidateItemsStrategy);
}

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