如何解决如何计算mahout的rmse和时间效率得分?
我一直在用mahout做推荐人。我需要帮助来计算rmse。这是我使用的代码。 应该添加什么代码来计算均方根值?另外,如何计算时间效率?
package com.company;
import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator;
import org.apache.mahout.cf.taste.impl.model.file.FileDataModel;
import org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender;
import org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.recommender.RecommendedItem;
import java.io.File;
import java.io.IOException;
import java.util.List;
public class ItemRecommender {
public static void main(String[] args) {
try {
DataModel dm = new FileDataModel(new File("C:/Users/Pragya Kapoor/Desktop/ml-latest-small/movies.csv"));
//ItemSimilarity sim = new LogLikelihoodSimilarity(dm);
TanimotoCoefficientSimilarity sim = new TanimotoCoefficientSimilarity(dm);
GenericItemBasedRecommender recommender = new GenericItemBasedRecommender(dm,sim);
int x=1;
for(LongPrimitiveIterator items = dm.getItemIDs(); items.hasNext();) {
long itemId = items.nextLong();
List<RecommendedItem>recommendations = recommender.mostSimilarItems(itemId,5);
for(RecommendedItem recommendation : recommendations) {
System.out.println(itemId + "," + recommendation.getItemID() + "," + recommendation.getValue());
}
x++;
//if(x>10) System.exit(1);
}
} catch (IOException e) {
System.out.println("There was an error.");
e.printstacktrace();
} catch (TasteException e) {
System.out.println("There was a Taste Exception");
e.printstacktrace();
}
}
}
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