public class TMahout03 {
public static void main(String[] args) throws IOException, TasteException {
//-准确率和召回率评估的配置与运行-// RandomUtils.useTestSeed();
DataModel model = new FileDataModel(new File("path/ua.base"));
RecommenderIRStatsEvaluator irStatsEvaluator = new GenericRecommenderIRStatsEvaluator();
RecommenderBuilder recommenderBuilder = new RecommenderBuilder() {
@Override
public Recommender buildRecommender(DataModel model)
throws TasteException {
UserSimilarity similarity = new PearsonCorrelationSimilarity(model);
UserNeighborhood neighborhood =
new NearestNUserNeighborhood(2, similarity, model);
return
new GenericUserBasedRecommender(model, neighborhood, similarity);
}
};
IRStatistics stats = irStatsEvaluator.evaluate(recommenderBuilder, null, model, null, 2,
GenericRecommenderIRStatsEvaluator.CHOOSE_THRESHOLD,1.0);
System.out.println(stats.getPrecision());
System.out.println(stats.getRecall());
}
}
//SlopeOneRecommender @Deprecated。
1 February 2014 - Apache Mahout 0.9 released
Apache Mahout has reached version 0.9. All developers are encouraged to begin using version 0.9. Highlights include:
New and improved Mahout website based on Apache CMS - MAHOUT-1245
Early implementation of a Multi Layer Perceptron (MLP) classifier - MAHOUT-1265
Scala DSL Bindings for Mahout Math Linear Algebra. See this blogpost and MAHOUT-1297
Recommenders as Search. See [https://github.com/pferrel/solr-recommender] and MAHOUT-1288
Support for easy functional Matrix views and derivatives - MAHOUT-1300
JSON output format for ClusterDumper - MAHOUT-1343
Enabled randomised testing for all Mahout modules using Carrot RandomizedRunner - MAHOUT-1345
Online Algorithm for computing accurate Quantiles using 1-dimensional Clustering - See this pdf and MAHOUT-1361
Upgrade to Lucene 4.6.1 - MAHOUT-1364
Changes in 0.9 are detailed in the release notes.
The following algorithms that were marked deprecated in 0.8 have been removed in 0.9:
Switched LDA implementation from Gibbs Sampling to Collapsed Variational Bayes
Meanshift - removed due to lack of actual usage and support
MinHash - removed due to lack of actual usage and support
Winnow - removed due to lack of actual usage and support
Perceptron - removed due to lack of actual usage and support
<span style="color: #ff6600;"><strong> Slope One - removed due to lack of actual usage</strong></span>
Distributed Pseudo recommender - removed due to lack of actual usage
TreeClusteringRecommender - removed due to lack of actual usage
时间： 2024-10-13 01:18:31