Author: smarthi
Date: Sun Nov 3 19:30:34 2013
New Revision: 1538424
URL: http://svn.apache.org/r1538424
Log:
Mahout-1343: more minor cleanups
Modified:
mahout/trunk/integration/src/main/java/org/apache/mahout/utils/clustering/ClusterDumper.java
mahout/trunk/integration/src/test/java/org/apache/mahout/clustering/TestClusterDumper.java
Modified:
mahout/trunk/integration/src/main/java/org/apache/mahout/utils/clustering/ClusterDumper.java
URL:
http://svn.apache.org/viewvc/mahout/trunk/integration/src/main/java/org/apache/mahout/utils/clustering/ClusterDumper.java?rev=1538424&r1=1538423&r2=1538424&view=diff
==============================================================================
---
mahout/trunk/integration/src/main/java/org/apache/mahout/utils/clustering/ClusterDumper.java
(original)
+++
mahout/trunk/integration/src/main/java/org/apache/mahout/utils/clustering/ClusterDumper.java
Sun Nov 3 19:30:34 2013
@@ -24,8 +24,8 @@ import java.io.Writer;
import java.util.Collections;
import java.util.List;
import java.util.Map;
-import java.util.TreeMap;
+import com.google.common.collect.Maps;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
@@ -306,7 +306,7 @@ public final class ClusterDumper extends
public static Map<Integer, List<WeightedVectorWritable>> readPoints(Path
pointsPathDir, long maxPointsPerCluster,
Configuration conf) {
- Map<Integer, List<WeightedVectorWritable>> result = new TreeMap<Integer,
List<WeightedVectorWritable>>();
+ Map<Integer, List<WeightedVectorWritable>> result = Maps.newTreeMap();
for (Pair<IntWritable, WeightedVectorWritable> record
: new SequenceFileDirIterable<IntWritable,
WeightedVectorWritable>(pointsPathDir, PathType.LIST,
PathFilters.logsCRCFilter(), conf)) {
Modified:
mahout/trunk/integration/src/test/java/org/apache/mahout/clustering/TestClusterDumper.java
URL:
http://svn.apache.org/viewvc/mahout/trunk/integration/src/test/java/org/apache/mahout/clustering/TestClusterDumper.java?rev=1538424&r1=1538423&r2=1538424&view=diff
==============================================================================
---
mahout/trunk/integration/src/test/java/org/apache/mahout/clustering/TestClusterDumper.java
(original)
+++
mahout/trunk/integration/src/test/java/org/apache/mahout/clustering/TestClusterDumper.java
Sun Nov 3 19:30:34 2013
@@ -24,7 +24,6 @@ import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
-import org.apache.hadoop.util.ToolRunner;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
@@ -193,12 +192,12 @@ public final class TestClusterDumper ext
CanopyDriver.run(conf, getTestTempDirPath("testdata"), output, measure, 8,
4, false, 0.0, true);
// now run the KMeans job
- Path kmeansOutput = new Path(output, "kmeans");
+ Path kMeansOutput = new Path(output, "kmeans");
KMeansDriver.run(conf, getTestTempDirPath("testdata"), new Path(output,
- "clusters-0-final"), kmeansOutput, measure, 0.001, 10, true, 0.0,
false);
+ "clusters-0-final"), kMeansOutput, measure, 0.001, 10, true, 0.0,
false);
// run ClusterDumper
ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
- output, 10), new Path(kmeansOutput, "clusteredPoints"));
+ output, 10), new Path(kMeansOutput, "clusteredPoints"));
clusterDumper.printClusters(termDictionary);
}
@@ -230,13 +229,13 @@ public final class TestClusterDumper ext
CanopyDriver.run(conf, getTestTempDirPath("testdata"), output, measure, 8,
4, false, 0.0, true);
// now run the Fuzzy KMeans job
- Path kmeansOutput = new Path(output, "kmeans");
+ Path kMeansOutput = new Path(output, "kmeans");
FuzzyKMeansDriver.run(conf, getTestTempDirPath("testdata"), new Path(
- output, "clusters-0-final"), kmeansOutput, measure, 0.001, 10, 1.1f,
true,
+ output, "clusters-0-final"), kMeansOutput, measure, 0.001, 10, 1.1f,
true,
true, 0, true);
// run ClusterDumper
ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
- output, 10), new Path(kmeansOutput, "clusteredPoints"));
+ output, 10), new Path(kMeansOutput, "clusteredPoints"));
clusterDumper.printClusters(termDictionary);
}