Created
September 12, 2014 13:44
-
-
Save frankscholten/d373c575ad721dd0204e to your computer and use it in GitHub Desktop.
Spark ItemSimilarity Java
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
package sparkexample; | |
import com.google.common.collect.BiMap; | |
import com.google.common.collect.HashBiMap; | |
import org.apache.mahout.drivers.DefaultElementReadSchema; | |
import org.apache.mahout.drivers.Schema; | |
import org.apache.mahout.drivers.TextDelimitedIndexedDatasetReader; | |
import org.apache.mahout.math.Matrix; | |
import org.apache.mahout.math.MatrixSlice; | |
import org.apache.mahout.math.cf.SimilarityAnalysis; | |
import org.apache.mahout.math.drm.DistributedContext; | |
import org.apache.mahout.math.drm.DrmLike; | |
import org.apache.mahout.sparkbindings.SparkDistributedContext; | |
import org.apache.spark.SparkConf; | |
import org.apache.spark.SparkContext; | |
import scala.collection.JavaConverters; | |
import java.util.List; | |
/** | |
* Mahout Recommender which performs the following steps: | |
* | |
* 1. Configures Spark | |
* 2. Reads user / item data | |
* 3. Runs cooccurrence analysis | |
* 4. TODO: Writes the results into ElasticSearch | |
*/ | |
public class MahoutRecommenderMain { | |
public static void main(String[] args) { | |
// Configure Spark | |
SparkConf config = new SparkConf(); | |
config.setMaster("local"); | |
config.setAppName("Mahout Recommender"); | |
SparkContext sparkContext = new SparkContext(config); | |
DistributedContext distributedContext = new SparkDistributedContext(sparkContext); | |
// Read user / item data | |
Schema schema = new DefaultElementReadSchema(); | |
TextDelimitedIndexedDatasetReader reader = new TextDelimitedIndexedDatasetReader(schema, distributedContext); | |
DrmLike<Object> drmA = reader.readElementsFrom("data/article_views.txt", HashBiMap.<String, Object>create()).matrix(); | |
// Run cooccurrence analysis | |
scala.collection.immutable.List<DrmLike<Object>> cooccurrences = SimilarityAnalysis.cooccurrences(drmA, 0xdeadbeef, Integer.MAX_VALUE, Integer.MAX_VALUE, null); | |
List<DrmLike<Object>> indicatorMatrices = JavaConverters.asJavaListConverter(cooccurrences).asJava(); | |
DrmLike<Object> indicatorMatrix = indicatorMatrices.get(0); | |
Matrix matrix = indicatorMatrix.checkpoint(null).collect(); | |
// Print results | |
for (MatrixSlice matrixSlice : matrix) { | |
System.out.println(matrixSlice); | |
} | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
I am getting same error as @amaebi
NotSerializableException: org.apache.mahout.math.DenseVector