Author: srowen
Date: Tue Aug 12 14:42:55 2008
New Revision: 685329
URL: http://svn.apache.org/viewvc?rev=685329&view=rev
Log:
Use Weighting in MemoryDiffStorage constructor and add a few tests for this
class
Added:
lucene/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java
Modified:
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorage.java
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/SlopeOneRecommender.java
Modified:
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorage.java
URL:
http://svn.apache.org/viewvc/lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorage.java?rev=685329&r1=685328&r2=685329&view=diff
==============================================================================
---
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorage.java
(original)
+++
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorage.java
Tue Aug 12 14:42:55 2008
@@ -19,6 +19,7 @@
import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.common.Refreshable;
+import org.apache.mahout.cf.taste.common.Weighting;
import org.apache.mahout.cf.taste.impl.common.*;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.model.Item;
@@ -83,7 +84,7 @@
* is null
*/
public MemoryDiffStorage(DataModel dataModel,
- boolean stdDevWeighted,
+ Weighting stdDevWeighted,
boolean compactAverages,
long maxEntries) throws TasteException {
if (dataModel == null) {
@@ -93,7 +94,7 @@
throw new IllegalArgumentException("maxEntries must be positive");
}
this.dataModel = dataModel;
- this.stdDevWeighted = stdDevWeighted;
+ this.stdDevWeighted = stdDevWeighted == Weighting.WEIGHTED;
this.compactAverages = compactAverages;
this.maxEntries = maxEntries;
this.averageDiffs = new FastMap<Object, Map<Object, RunningAverage>>();
Modified:
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/SlopeOneRecommender.java
URL:
http://svn.apache.org/viewvc/lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/SlopeOneRecommender.java?rev=685329&r1=685328&r2=685329&view=diff
==============================================================================
---
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/SlopeOneRecommender.java
(original)
+++
lucene/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/SlopeOneRecommender.java
Tue Aug 12 14:42:55 2008
@@ -65,7 +65,7 @@
this(dataModel,
Weighting.WEIGHTED,
Weighting.WEIGHTED,
- new MemoryDiffStorage(dataModel, true, false, Long.MAX_VALUE));
+ new MemoryDiffStorage(dataModel, Weighting.WEIGHTED, false,
Long.MAX_VALUE));
}
/**
Added:
lucene/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java
URL:
http://svn.apache.org/viewvc/lucene/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java?rev=685329&view=auto
==============================================================================
---
lucene/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java
(added)
+++
lucene/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/recommender/slopeone/MemoryDiffStorageTest.java
Tue Aug 12 14:42:55 2008
@@ -0,0 +1,57 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.mahout.cf.taste.impl.recommender.slopeone;
+
+import org.apache.mahout.cf.taste.impl.TasteTestCase;
+import org.apache.mahout.cf.taste.impl.common.RunningAverage;
+import org.apache.mahout.cf.taste.impl.model.GenericDataModel;
+import org.apache.mahout.cf.taste.model.DataModel;
+import org.apache.mahout.cf.taste.common.Weighting;
+
+/**
+ * Tests [EMAIL PROTECTED] MemoryDiffStorage}.
+ */
+public class MemoryDiffStorageTest extends TasteTestCase {
+
+ public void testGetDiff() throws Exception {
+ DataModel model = new GenericDataModel(getMockUsers());
+ MemoryDiffStorage storage = new MemoryDiffStorage(model,
Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
+ RunningAverage average = storage.getDiff("1", "2");
+ assertEquals(0.23333333333333334, average.getAverage(), EPSILON);
+ assertEquals(3, average.getCount());
+ }
+
+ public void testUpdate() throws Exception {
+ DataModel model = new GenericDataModel(getMockUsers());
+ MemoryDiffStorage storage = new MemoryDiffStorage(model,
Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
+ storage.updateItemPref("1", 0.5, false);
+ RunningAverage average = storage.getDiff("1", "2");
+ assertEquals(0.06666666666666668, average.getAverage(), EPSILON);
+ assertEquals(3, average.getCount());
+ }
+
+ public void testRemove() throws Exception {
+ DataModel model = new GenericDataModel(getMockUsers());
+ MemoryDiffStorage storage = new MemoryDiffStorage(model,
Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
+ storage.updateItemPref("1", 0.5, true);
+ RunningAverage average = storage.getDiff("1", "2");
+ assertEquals(0.1, average.getAverage(), EPSILON);
+ assertEquals(2, average.getCount());
+ }
+
+}