http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/AUCUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/AUCUDAF.java 
b/core/src/main/java/hivemall/evaluation/AUCUDAF.java
index 9cacaa8..8377dd6 100644
--- a/core/src/main/java/hivemall/evaluation/AUCUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/AUCUDAF.java
@@ -63,7 +63,8 @@ import org.apache.hadoop.io.LongWritable;
 public final class AUCUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -160,28 +161,33 @@ public final class AUCUDAF extends 
AbstractGenericUDAFResolver {
             fieldNames.add("tpPrev");
             fieldOIs.add(writableLongObjectInspector);
 
-            MapObjectInspector areaPartialMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaDoubleObjectInspector);
+            MapObjectInspector areaPartialMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaDoubleObjectInspector);
             fieldNames.add("areaPartialMap");
             fieldOIs.add(areaPartialMapOI);
 
-            MapObjectInspector fpPartialMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaLongObjectInspector);
+            MapObjectInspector fpPartialMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaLongObjectInspector);
             fieldNames.add("fpPartialMap");
             fieldOIs.add(fpPartialMapOI);
 
-            MapObjectInspector tpPartialMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaLongObjectInspector);
+            MapObjectInspector tpPartialMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaLongObjectInspector);
             fieldNames.add("tpPartialMap");
             fieldOIs.add(tpPartialMapOI);
 
-            MapObjectInspector fpPrevPartialMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaLongObjectInspector);
+            MapObjectInspector fpPrevPartialMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaLongObjectInspector);
             fieldNames.add("fpPrevPartialMap");
             fieldOIs.add(fpPrevPartialMapOI);
 
-            MapObjectInspector tpPrevPartialMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaLongObjectInspector);
+            MapObjectInspector tpPrevPartialMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaLongObjectInspector);
             fieldNames.add("tpPrevPartialMap");
             fieldOIs.add(tpPrevPartialMapOI);
 
@@ -260,14 +266,14 @@ public final class AUCUDAF extends 
AbstractGenericUDAFResolver {
             Object tpObj = internalMergeOI.getStructFieldData(partial, 
tpField);
             Object fpPrevObj = internalMergeOI.getStructFieldData(partial, 
fpPrevField);
             Object tpPrevObj = internalMergeOI.getStructFieldData(partial, 
tpPrevField);
-            Object areaPartialMapObj = 
internalMergeOI.getStructFieldData(partial,
-                areaPartialMapField);
+            Object areaPartialMapObj =
+                    internalMergeOI.getStructFieldData(partial, 
areaPartialMapField);
             Object fpPartialMapObj = 
internalMergeOI.getStructFieldData(partial, fpPartialMapField);
             Object tpPartialMapObj = 
internalMergeOI.getStructFieldData(partial, tpPartialMapField);
-            Object fpPrevPartialMapObj = 
internalMergeOI.getStructFieldData(partial,
-                fpPrevPartialMapField);
-            Object tpPrevPartialMapObj = 
internalMergeOI.getStructFieldData(partial,
-                tpPrevPartialMapField);
+            Object fpPrevPartialMapObj =
+                    internalMergeOI.getStructFieldData(partial, 
fpPrevPartialMapField);
+            Object tpPrevPartialMapObj =
+                    internalMergeOI.getStructFieldData(partial, 
tpPrevPartialMapField);
 
             double indexScore = 
writableDoubleObjectInspector.get(indexScoreObj);
             double area = writableDoubleObjectInspector.get(areaObj);
@@ -276,16 +282,23 @@ public final class AUCUDAF extends 
AbstractGenericUDAFResolver {
             long fpPrev = writableLongObjectInspector.get(fpPrevObj);
             long tpPrev = writableLongObjectInspector.get(tpPrevObj);
 
-            StandardMapObjectInspector ddMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaDoubleObjectInspector);
-            StandardMapObjectInspector dlMapOI = 
ObjectInspectorFactory.getStandardMapObjectInspector(
-                javaDoubleObjectInspector, javaLongObjectInspector);
-
-            Map<Double, Double> areaPartialMap = (Map<Double, Double>) 
ddMapOI.getMap(HiveUtils.castLazyBinaryObject(areaPartialMapObj));
-            Map<Double, Long> fpPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(HiveUtils.castLazyBinaryObject(fpPartialMapObj));
-            Map<Double, Long> tpPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(HiveUtils.castLazyBinaryObject(tpPartialMapObj));
-            Map<Double, Long> fpPrevPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(HiveUtils.castLazyBinaryObject(fpPrevPartialMapObj));
-            Map<Double, Long> tpPrevPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(HiveUtils.castLazyBinaryObject(tpPrevPartialMapObj));
+            StandardMapObjectInspector ddMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaDoubleObjectInspector);
+            StandardMapObjectInspector dlMapOI =
+                    
ObjectInspectorFactory.getStandardMapObjectInspector(javaDoubleObjectInspector,
+                        javaLongObjectInspector);
+
+            Map<Double, Double> areaPartialMap = (Map<Double, Double>) 
ddMapOI.getMap(
+                HiveUtils.castLazyBinaryObject(areaPartialMapObj));
+            Map<Double, Long> fpPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(
+                HiveUtils.castLazyBinaryObject(fpPartialMapObj));
+            Map<Double, Long> tpPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(
+                HiveUtils.castLazyBinaryObject(tpPartialMapObj));
+            Map<Double, Long> fpPrevPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(
+                HiveUtils.castLazyBinaryObject(fpPrevPartialMapObj));
+            Map<Double, Long> tpPrevPartialMap = (Map<Double, Long>) 
dlMapOI.getMap(
+                HiveUtils.castLazyBinaryObject(tpPrevPartialMapObj));
 
             ClassificationAUCAggregationBuffer myAggr = 
(ClassificationAUCAggregationBuffer) agg;
             myAggr.merge(indexScore, area, fp, tp, fpPrev, tpPrev, 
areaPartialMap, fpPartialMap,
@@ -358,8 +371,8 @@ public final class AUCUDAF extends 
AbstractGenericUDAFResolver {
             fpPrevPartialMap.put(indexScore, fpPrev);
             tpPrevPartialMap.put(indexScore, tpPrev);
 
-            SortedMap<Double, Double> areaPartialSortedMap = new 
TreeMap<Double, Double>(
-                Collections.reverseOrder());
+            SortedMap<Double, Double> areaPartialSortedMap =
+                    new TreeMap<Double, Double>(Collections.reverseOrder());
             areaPartialSortedMap.putAll(areaPartialMap);
 
             // initialize with leftmost partial result
@@ -506,7 +519,8 @@ public final class AUCUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/BinaryResponsesMeasures.java
----------------------------------------------------------------------
diff --git 
a/core/src/main/java/hivemall/evaluation/BinaryResponsesMeasures.java 
b/core/src/main/java/hivemall/evaluation/BinaryResponsesMeasures.java
index c3b4f6a..7b4dd48 100644
--- a/core/src/main/java/hivemall/evaluation/BinaryResponsesMeasures.java
+++ b/core/src/main/java/hivemall/evaluation/BinaryResponsesMeasures.java
@@ -43,8 +43,8 @@ public final class BinaryResponsesMeasures {
      * @param recommendSize top-`recommendSize` items in `rankedList` are 
recommended
      * @return nDCG
      */
-    public static double nDCG(@Nonnull final List<?> rankedList,
-            @Nonnull final List<?> groundTruth, @Nonnegative final int 
recommendSize) {
+    public static double nDCG(@Nonnull final List<?> rankedList, @Nonnull 
final List<?> groundTruth,
+            @Nonnegative final int recommendSize) {
         Preconditions.checkArgument(recommendSize >= 0);
 
         double dcg = 0.d;

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/F1ScoreUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/F1ScoreUDAF.java 
b/core/src/main/java/hivemall/evaluation/F1ScoreUDAF.java
index ba1c44e..42a5d67 100644
--- a/core/src/main/java/hivemall/evaluation/F1ScoreUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/F1ScoreUDAF.java
@@ -122,8 +122,8 @@ public final class F1ScoreUDAF extends UDAF {
         }
 
         private static double precision(final PartialResult partial) {
-            return (partial.totalPredicted == 0L) ? 0d : partial.tp
-                    / (double) partial.totalPredicted;
+            return (partial.totalPredicted == 0L) ? 0d
+                    : partial.tp / (double) partial.totalPredicted;
         }
 
         private static double recall(final PartialResult partial) {

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/FMeasureUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/FMeasureUDAF.java 
b/core/src/main/java/hivemall/evaluation/FMeasureUDAF.java
index 22c0b7f..d3f39a4 100644
--- a/core/src/main/java/hivemall/evaluation/FMeasureUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/FMeasureUDAF.java
@@ -53,39 +53,41 @@ import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectIn
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "fmeasure",
+@Description(name = "fmeasure",
         value = "_FUNC_(array|int|boolean actual, array|int| boolean predicted 
[, const string options])"
                 + " - Return a F-measure (f1score is the special with 
beta=1.0)")
 public final class FMeasureUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
         }
 
-        boolean isArg1ListOrIntOrBoolean = 
HiveUtils.isListTypeInfo(typeInfo[0])
-                || HiveUtils.isIntegerTypeInfo(typeInfo[0])
-                || HiveUtils.isBooleanTypeInfo(typeInfo[0]);
+        boolean isArg1ListOrIntOrBoolean =
+                HiveUtils.isListTypeInfo(typeInfo[0]) || 
HiveUtils.isIntegerTypeInfo(typeInfo[0])
+                        || HiveUtils.isBooleanTypeInfo(typeInfo[0]);
         if (!isArg1ListOrIntOrBoolean) {
             throw new UDFArgumentTypeException(0,
                 "The first argument `array/int/boolean actual` is invalid 
form: " + typeInfo[0]);
         }
 
-        boolean isArg2ListOrIntOrBoolean = 
HiveUtils.isListTypeInfo(typeInfo[1])
-                || HiveUtils.isIntegerTypeInfo(typeInfo[1])
-                || HiveUtils.isBooleanTypeInfo(typeInfo[1]);
+        boolean isArg2ListOrIntOrBoolean =
+                HiveUtils.isListTypeInfo(typeInfo[1]) || 
HiveUtils.isIntegerTypeInfo(typeInfo[1])
+                        || HiveUtils.isBooleanTypeInfo(typeInfo[1]);
         if (!isArg2ListOrIntOrBoolean) {
             throw new UDFArgumentTypeException(1,
-                "The second argument `array/int/boolean predicted` is invalid 
form: " + typeInfo[1]);
+                "The second argument `array/int/boolean predicted` is invalid 
form: "
+                        + typeInfo[1]);
         }
 
         if (!typeInfo[0].equals(typeInfo[1])) {
-            throw new UDFArgumentTypeException(1, "The first argument 
`actual`'s type is "
-                    + typeInfo[0] + ", but the second argument `predicted`'s 
type is not match: "
-                    + typeInfo[1]);
+            throw new UDFArgumentTypeException(1,
+                "The first argument `actual`'s type is " + typeInfo[0]
+                        + ", but the second argument `predicted`'s type is not 
match: "
+                        + typeInfo[1]);
         }
 
         return new Evaluator();
@@ -233,20 +235,21 @@ public final class FMeasureUDAF extends 
AbstractGenericUDAFResolver {
                 predicted = ((ListObjectInspector) 
predictedOI).getList(parameters[1]);
             } else {//binary case
                 if (HiveUtils.isBooleanOI(actualOI)) { // boolean case
-                    actual = Arrays.asList(asIntLabel(parameters[0],
-                        (BooleanObjectInspector) actualOI));
-                    predicted = Arrays.asList(asIntLabel(parameters[1],
-                        (BooleanObjectInspector) predictedOI));
+                    actual = Arrays.asList(
+                        asIntLabel(parameters[0], (BooleanObjectInspector) 
actualOI));
+                    predicted = Arrays.asList(
+                        asIntLabel(parameters[1], (BooleanObjectInspector) 
predictedOI));
                 } else { // int case
-                    final int actualLabel = asIntLabel(parameters[0], 
(IntObjectInspector) actualOI);
+                    final int actualLabel =
+                            asIntLabel(parameters[0], (IntObjectInspector) 
actualOI);
                     if (actualLabel == 0 && "binary".equals(average)) {
                         actual = Collections.emptyList();
                     } else {
                         actual = Arrays.asList(actualLabel);
                     }
 
-                    final int predictedLabel = asIntLabel(parameters[1],
-                        (IntObjectInspector) predictedOI);
+                    final int predictedLabel =
+                            asIntLabel(parameters[1], (IntObjectInspector) 
predictedOI);
                     if (predictedLabel == 0 && "binary".equals(average)) {
                         predicted = Collections.emptyList();
                     } else {
@@ -303,15 +306,20 @@ public final class FMeasureUDAF extends 
AbstractGenericUDAFResolver {
 
             Object tpObj = internalMergeOI.getStructFieldData(partial, 
tpField);
             Object totalActualObj = 
internalMergeOI.getStructFieldData(partial, totalActualField);
-            Object totalPredictedObj = 
internalMergeOI.getStructFieldData(partial,
-                totalPredictedField);
+            Object totalPredictedObj =
+                    internalMergeOI.getStructFieldData(partial, 
totalPredictedField);
             Object betaObj = internalMergeOI.getStructFieldData(partial, 
betaOptionField);
             Object averageObj = internalMergeOI.getStructFieldData(partial, 
averageOptionFiled);
             long tp = 
PrimitiveObjectInspectorFactory.writableLongObjectInspector.get(tpObj);
-            long totalActual = 
PrimitiveObjectInspectorFactory.writableLongObjectInspector.get(totalActualObj);
-            long totalPredicted = 
PrimitiveObjectInspectorFactory.writableLongObjectInspector.get(totalPredictedObj);
-            double beta = 
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector.get(betaObj);
-            String average = 
PrimitiveObjectInspectorFactory.writableStringObjectInspector.getPrimitiveJavaObject(averageObj);
+            long totalActual =
+                    
PrimitiveObjectInspectorFactory.writableLongObjectInspector.get(totalActualObj);
+            long totalPredicted = 
PrimitiveObjectInspectorFactory.writableLongObjectInspector.get(
+                totalPredictedObj);
+            double beta =
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector.get(betaObj);
+            String average =
+                    
PrimitiveObjectInspectorFactory.writableStringObjectInspector.getPrimitiveJavaObject(
+                        averageObj);
 
             FMeasureAggregationBuffer myAggr = (FMeasureAggregationBuffer) agg;
             myAggr.merge(tp, totalActual, totalPredicted, beta, average);

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/GradedResponsesMeasures.java
----------------------------------------------------------------------
diff --git 
a/core/src/main/java/hivemall/evaluation/GradedResponsesMeasures.java 
b/core/src/main/java/hivemall/evaluation/GradedResponsesMeasures.java
index 5bbbb7e..89cd5d9 100644
--- a/core/src/main/java/hivemall/evaluation/GradedResponsesMeasures.java
+++ b/core/src/main/java/hivemall/evaluation/GradedResponsesMeasures.java
@@ -36,7 +36,8 @@ public final class GradedResponsesMeasures {
     private GradedResponsesMeasures() {}
 
     public static double nDCG(@Nonnull final List<Double> 
recommendTopRelScoreList,
-            @Nonnull final List<Double> truthTopRelScoreList, @Nonnegative 
final int recommendSize) {
+            @Nonnull final List<Double> truthTopRelScoreList,
+            @Nonnegative final int recommendSize) {
         double dcg = DCG(recommendTopRelScoreList, recommendSize);
         double idcg = DCG(truthTopRelScoreList, recommendSize);
         return dcg / idcg;

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/HitRateUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/HitRateUDAF.java 
b/core/src/main/java/hivemall/evaluation/HitRateUDAF.java
index b6d74f1..dd3ff4d 100644
--- a/core/src/main/java/hivemall/evaluation/HitRateUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/HitRateUDAF.java
@@ -65,14 +65,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "hitrate",
+@Description(name = "hitrate",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns HitRate")
 public final class HitRateUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -175,7 +175,8 @@ public final class HitRateUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "
@@ -223,8 +224,8 @@ public final class HitRateUDAF extends 
AbstractGenericUDAFResolver {
 
     }
 
-    public static final class HitRateAggregationBuffer extends
-            GenericUDAFEvaluator.AbstractAggregationBuffer {
+    public static final class HitRateAggregationBuffer
+            extends GenericUDAFEvaluator.AbstractAggregationBuffer {
 
         private double sum;
         private long count;

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/MAPUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/MAPUDAF.java 
b/core/src/main/java/hivemall/evaluation/MAPUDAF.java
index 437fab7..222d60e 100644
--- a/core/src/main/java/hivemall/evaluation/MAPUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/MAPUDAF.java
@@ -47,14 +47,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "average_precision",
+@Description(name = "average_precision",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns MAP")
 public final class MAPUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -157,7 +157,8 @@ public final class MAPUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "
@@ -233,7 +234,8 @@ public final class MAPUDAF extends 
AbstractGenericUDAFResolver {
 
         void iterate(@Nonnull List<?> recommendList, @Nonnull List<?> 
truthList,
                 @Nonnull int recommendSize) {
-            sum += BinaryResponsesMeasures.AveragePrecision(recommendList, 
truthList, recommendSize);
+            sum += BinaryResponsesMeasures.AveragePrecision(recommendList, 
truthList,
+                recommendSize);
             count++;
         }
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/MRRUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/MRRUDAF.java 
b/core/src/main/java/hivemall/evaluation/MRRUDAF.java
index 1f5a95c..0ec16c5 100644
--- a/core/src/main/java/hivemall/evaluation/MRRUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/MRRUDAF.java
@@ -47,14 +47,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "mrr",
+@Description(name = "mrr",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns MRR")
 public final class MRRUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -157,7 +157,8 @@ public final class MRRUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/NDCGUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/NDCGUDAF.java 
b/core/src/main/java/hivemall/evaluation/NDCGUDAF.java
index 7510bac..1fe623e 100644
--- a/core/src/main/java/hivemall/evaluation/NDCGUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/NDCGUDAF.java
@@ -49,14 +49,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "ndcg",
+@Description(name = "ndcg",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns nDCG")
 public final class NDCGUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -160,7 +160,8 @@ public final class NDCGUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "
@@ -168,7 +169,8 @@ public final class NDCGUDAF extends 
AbstractGenericUDAFResolver {
                 }
             }
 
-            boolean isBinary = 
!HiveUtils.isStructOI(recommendListOI.getListElementObjectInspector());
+            boolean isBinary =
+                    
!HiveUtils.isStructOI(recommendListOI.getListElementObjectInspector());
             double ndcg = 0.0d;
 
             if (isBinary) {
@@ -176,34 +178,37 @@ public final class NDCGUDAF extends 
AbstractGenericUDAFResolver {
             } else {
                 // Create a ordered list of relevance scores for recommended 
items
                 List<Double> recommendRelScoreList = new ArrayList<Double>();
-                StructObjectInspector sOI = (StructObjectInspector) 
recommendListOI.getListElementObjectInspector();
+                StructObjectInspector sOI =
+                        (StructObjectInspector) 
recommendListOI.getListElementObjectInspector();
                 List<?> fieldRefList = sOI.getAllStructFieldRefs();
                 StructField relScoreField = (StructField) fieldRefList.get(0);
-                PrimitiveObjectInspector relScoreFieldOI = 
HiveUtils.asDoubleCompatibleOI(relScoreField.getFieldObjectInspector());
+                PrimitiveObjectInspector relScoreFieldOI =
+                        
HiveUtils.asDoubleCompatibleOI(relScoreField.getFieldObjectInspector());
                 for (int i = 0, n = recommendList.size(); i < n; i++) {
                     Object structObj = recommendList.get(i);
                     List<Object> fieldList = 
sOI.getStructFieldsDataAsList(structObj);
                     Object field0 = fieldList.get(0);
                     if (field0 == null) {
-                        throw new UDFArgumentException("Field 0 of a struct 
field is null: "
-                                + fieldList);
+                        throw new UDFArgumentException(
+                            "Field 0 of a struct field is null: " + fieldList);
                     }
-                    double relScore = 
PrimitiveObjectInspectorUtils.getDouble(field0,
-                        relScoreFieldOI);
+                    double relScore =
+                            PrimitiveObjectInspectorUtils.getDouble(field0, 
relScoreFieldOI);
                     recommendRelScoreList.add(relScore);
                 }
 
                 // Create a ordered list of relevance scores for truth items
                 List<Double> truthRelScoreList = new ArrayList<Double>();
-                PrimitiveObjectInspector truthRelScoreOI = 
HiveUtils.asDoubleCompatibleOI(truthListOI.getListElementObjectInspector());
+                PrimitiveObjectInspector truthRelScoreOI =
+                        
HiveUtils.asDoubleCompatibleOI(truthListOI.getListElementObjectInspector());
                 for (int i = 0, n = truthList.size(); i < n; i++) {
                     Object relScoreObj = truthList.get(i);
                     if (relScoreObj == null) {
-                        throw new UDFArgumentException("Found null in the 
ground truth: "
-                                + truthList);
+                        throw new UDFArgumentException(
+                            "Found null in the ground truth: " + truthList);
                     }
-                    double relScore = 
PrimitiveObjectInspectorUtils.getDouble(relScoreObj,
-                        truthRelScoreOI);
+                    double relScore =
+                            
PrimitiveObjectInspectorUtils.getDouble(relScoreObj, truthRelScoreOI);
                     truthRelScoreList.add(relScore);
                 }
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/PrecisionUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/PrecisionUDAF.java 
b/core/src/main/java/hivemall/evaluation/PrecisionUDAF.java
index ef0c81f..4c63c43 100644
--- a/core/src/main/java/hivemall/evaluation/PrecisionUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/PrecisionUDAF.java
@@ -47,14 +47,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "precision_at",
+@Description(name = "precision_at",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns Precision")
 public final class PrecisionUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -158,7 +158,8 @@ public final class PrecisionUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/R2UDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/R2UDAF.java 
b/core/src/main/java/hivemall/evaluation/R2UDAF.java
index 4c8231d..45fc764 100755
--- a/core/src/main/java/hivemall/evaluation/R2UDAF.java
+++ b/core/src/main/java/hivemall/evaluation/R2UDAF.java
@@ -28,8 +28,7 @@ import org.apache.hadoop.hive.ql.metadata.HiveException;
 import org.apache.hadoop.hive.serde2.io.DoubleWritable;
 
 @SuppressWarnings("deprecation")
-@Description(
-        name = "r2",
+@Description(name = "r2",
         value = "_FUNC_(double predicted, double actual) - Return R Squared 
(coefficient of determination)")
 public final class R2UDAF extends UDAF {
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/evaluation/RecallUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/evaluation/RecallUDAF.java 
b/core/src/main/java/hivemall/evaluation/RecallUDAF.java
index cc2e27e..49081b4 100644
--- a/core/src/main/java/hivemall/evaluation/RecallUDAF.java
+++ b/core/src/main/java/hivemall/evaluation/RecallUDAF.java
@@ -47,14 +47,14 @@ import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import org.apache.hadoop.io.LongWritable;
 
-@Description(
-        name = "recall_at",
+@Description(name = "recall_at",
         value = "_FUNC_(array rankItems, array correctItems [, const int 
recommendSize = rankItems.size])"
                 + " - Returns Recall")
 public final class RecallUDAF extends AbstractGenericUDAFResolver {
 
     @Override
-    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) 
throws SemanticException {
+    public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo)
+            throws SemanticException {
         if (typeInfo.length != 2 && typeInfo.length != 3) {
             throw new UDFArgumentTypeException(typeInfo.length - 1,
                 "_FUNC_ takes two or three arguments");
@@ -157,7 +157,8 @@ public final class RecallUDAF extends 
AbstractGenericUDAFResolver {
 
             int recommendSize = recommendList.size();
             if (parameters.length == 3) {
-                recommendSize = 
PrimitiveObjectInspectorUtils.getInt(parameters[2], recommendSizeOI);
+                recommendSize =
+                        PrimitiveObjectInspectorUtils.getInt(parameters[2], 
recommendSizeOI);
                 if (recommendSize < 0) {
                     throw new UDFArgumentException(
                         "The third argument `int recommendSize` must be in 
greater than or equals to 0: "

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/Entry.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/Entry.java 
b/core/src/main/java/hivemall/fm/Entry.java
index 370e727..06f2758 100644
--- a/core/src/main/java/hivemall/fm/Entry.java
+++ b/core/src/main/java/hivemall/fm/Entry.java
@@ -57,7 +57,8 @@ class Entry {
         this(buf, factors, Entry.sizeOf(factors), key, offset);
     }
 
-    private Entry(@Nonnull HeapBuffer buf, int factors, int size, int key, 
@Nonnegative long offset) {
+    private Entry(@Nonnull HeapBuffer buf, int factors, int size, int key,
+            @Nonnegative long offset) {
         this._buf = buf;
         this._size = size;
         this._factors = factors;
@@ -259,9 +260,9 @@ class Entry {
 
             final float newZ = z + gradW - sigma * W;
             if (!NumberUtils.isFinite(newZ)) {
-                throw new IllegalStateException("Got newZ " + newZ + " where 
z=" + z + ", gradW="
-                        + gradW + ", sigma=" + sigma + ", W=" + W + ", n=" + n 
+ ", gg=" + gg
-                        + ", alpha=" + alpha);
+                throw new IllegalStateException(
+                    "Got newZ " + newZ + " where z=" + z + ", gradW=" + gradW 
+ ", sigma=" + sigma
+                            + ", W=" + W + ", n=" + n + ", gg=" + gg + ", 
alpha=" + alpha);
             }
             _buf.putFloat(zOffset, newZ);
             return newZ;
@@ -276,8 +277,8 @@ class Entry {
             final double n = _buf.getFloat(nOffset);
             final double newN = n + gradW * gradW;
             if (!NumberUtils.isFinite(newN)) {
-                throw new IllegalStateException("Got newN " + newN + " where 
n=" + n + ", gradW="
-                        + gradW);
+                throw new IllegalStateException(
+                    "Got newN " + newN + " where n=" + n + ", gradW=" + gradW);
             }
             _buf.putFloat(nOffset, NumberUtils.castToFloat(newN)); // cast may 
throw ArithmeticException
             return newN;

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FFMStringFeatureMapModel.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FFMStringFeatureMapModel.java 
b/core/src/main/java/hivemall/fm/FFMStringFeatureMapModel.java
index 282dc4e..9534367 100644
--- a/core/src/main/java/hivemall/fm/FFMStringFeatureMapModel.java
+++ b/core/src/main/java/hivemall/fm/FFMStringFeatureMapModel.java
@@ -313,9 +313,8 @@ public final class FFMStringFeatureMapModel extends 
FieldAwareFactorizationMachi
     @Nonnull
     String getStatistics() {
         final NumberFormat fmt = NumberFormat.getIntegerInstance(Locale.US);
-        return "FFMStringFeatureMapModel [bytesAllocated="
-                + NumberUtils.prettySize(_bytesAllocated) + ", bytesUsed="
-                + NumberUtils.prettySize(_bytesUsed) + ", numAllocatedW="
+        return "FFMStringFeatureMapModel [bytesAllocated=" + 
NumberUtils.prettySize(_bytesAllocated)
+                + ", bytesUsed=" + NumberUtils.prettySize(_bytesUsed) + ", 
numAllocatedW="
                 + fmt.format(_numAllocatedW) + ", numReusedW=" + 
fmt.format(_numReusedW)
                 + ", numRemovedW=" + fmt.format(_numRemovedW) + ", 
numAllocatedV="
                 + fmt.format(_numAllocatedV) + ", numReusedV=" + 
fmt.format(_numReusedV)

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FMArrayModel.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FMArrayModel.java 
b/core/src/main/java/hivemall/fm/FMArrayModel.java
index fbae404..97807aa 100644
--- a/core/src/main/java/hivemall/fm/FMArrayModel.java
+++ b/core/src/main/java/hivemall/fm/FMArrayModel.java
@@ -116,8 +116,8 @@ public final class FMArrayModel extends 
FactorizationMachineModel {
     public void check(@Nonnull Feature[] x) throws HiveException {
         for (Feature e : x) {
             if (e != null && e.getFeatureIndex() < 1) {
-                throw new HiveException("Index of x should be greater than or 
equals to 1: "
-                        + Arrays.toString(x));
+                throw new HiveException(
+                    "Index of x should be greater than or equals to 1: " + 
Arrays.toString(x));
             }
         }
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FMHyperParameters.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FMHyperParameters.java 
b/core/src/main/java/hivemall/fm/FMHyperParameters.java
index 69c19a8..0992325 100644
--- a/core/src/main/java/hivemall/fm/FMHyperParameters.java
+++ b/core/src/main/java/hivemall/fm/FMHyperParameters.java
@@ -107,16 +107,17 @@ class FMHyperParameters {
         this.l2norm = cl.hasOption("enable_norm");
         this.iters = Primitives.parseInt(cl.getOptionValue("iterations"), 
iters);
         this.conversionCheck = !cl.hasOption("disable_cvtest");
-        this.convergenceRate = 
Primitives.parseDouble(cl.getOptionValue("cv_rate"), convergenceRate);
+        this.convergenceRate =
+                Primitives.parseDouble(cl.getOptionValue("cv_rate"), 
convergenceRate);
         this.adaptiveRegularization = cl.hasOption("adaptive_regularization");
-        this.validationRatio = 
Primitives.parseFloat(cl.getOptionValue("validation_ratio"),
-            validationRatio);
+        this.validationRatio =
+                Primitives.parseFloat(cl.getOptionValue("validation_ratio"), 
validationRatio);
         if (validationRatio < 0.f || validationRatio >= 1.f) {
-            throw new UDFArgumentException("validation_ratio should be in 
range [0, 1): "
-                    + validationRatio);
+            throw new UDFArgumentException(
+                "validation_ratio should be in range [0, 1): " + 
validationRatio);
         }
-        this.validationThreshold = 
Primitives.parseInt(cl.getOptionValue("validation_threshold"),
-            validationThreshold);
+        this.validationThreshold =
+                Primitives.parseInt(cl.getOptionValue("validation_threshold"), 
validationThreshold);
         this.parseFeatureAsInt = cl.hasOption("int_feature");
     }
 
@@ -193,8 +194,8 @@ class FMHyperParameters {
                 case "ftrl": {
                     this.useFTRL = true;
                     this.useAdaGrad = false;
-                    this.alphaFTRL = 
Primitives.parseFloat(cl.getOptionValue("alphaFTRL"),
-                        alphaFTRL);
+                    this.alphaFTRL =
+                            
Primitives.parseFloat(cl.getOptionValue("alphaFTRL"), alphaFTRL);
                     if (alphaFTRL == 0.f) {
                         throw new UDFArgumentException("-alphaFTRL SHOULD NOT 
be 0");
                     }
@@ -223,9 +224,8 @@ class FMHyperParameters {
         public String toString() {
             return "FFMHyperParameters [globalBias=" + globalBias + ", 
linearCoeff=" + linearCoeff
                     + ", numFields=" + numFields + ", useAdaGrad=" + 
useAdaGrad + ", eps=" + eps
-                    + ", useFTRL=" + useFTRL + ", alphaFTRL=" + alphaFTRL + ", 
betaFTRL="
-                    + betaFTRL + ", lambda1=" + lambda1 + ", lambda2=" + 
lambda2 + "], "
-                    + super.toString();
+                    + ", useFTRL=" + useFTRL + ", alphaFTRL=" + alphaFTRL + ", 
betaFTRL=" + betaFTRL
+                    + ", lambda1=" + lambda1 + ", lambda2=" + lambda2 + "], " 
+ super.toString();
         }
 
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FMIntFeatureMapModel.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FMIntFeatureMapModel.java 
b/core/src/main/java/hivemall/fm/FMIntFeatureMapModel.java
index cbb0d70..72d64c0 100644
--- a/core/src/main/java/hivemall/fm/FMIntFeatureMapModel.java
+++ b/core/src/main/java/hivemall/fm/FMIntFeatureMapModel.java
@@ -136,8 +136,8 @@ public final class FMIntFeatureMapModel extends 
FactorizationMachineModel {
             }
             final int idx = e.getFeatureIndex();
             if (idx < 1) {
-                throw new HiveException("Index of x should be greater than or 
equals to 1: "
-                        + Arrays.toString(x));
+                throw new HiveException(
+                    "Index of x should be greater than or equals to 1: " + 
Arrays.toString(x));
             }
             if (!_w.containsKey(idx)) {
                 _w.put(idx, 0.f);

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FMPredictGenericUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FMPredictGenericUDAF.java 
b/core/src/main/java/hivemall/fm/FMPredictGenericUDAF.java
index 730cc49..6de298f 100644
--- a/core/src/main/java/hivemall/fm/FMPredictGenericUDAF.java
+++ b/core/src/main/java/hivemall/fm/FMPredictGenericUDAF.java
@@ -55,8 +55,7 @@ import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDoubleObj
 import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
 import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 
-@Description(
-        name = "fm_predict",
+@Description(name = "fm_predict",
         value = "_FUNC_(Float Wj, array<float> Vjf, float Xj) - Returns a 
prediction value in Double")
 public final class FMPredictGenericUDAF extends AbstractGenericUDAFResolver {
 
@@ -123,8 +122,10 @@ public final class FMPredictGenericUDAF extends 
AbstractGenericUDAFResolver {
                 this.sumVjXjField = soi.getStructFieldRef("sumVjXj");
                 this.sumV2X2Field = soi.getStructFieldRef("sumV2X2");
                 this.retOI = 
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
-                this.sumVjXjOI = 
ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
-                this.sumV2X2OI = 
ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
+                this.sumVjXjOI = 
ObjectInspectorFactory.getStandardListObjectInspector(
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
+                this.sumV2X2OI = 
ObjectInspectorFactory.getStandardListObjectInspector(
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
             }
 
             // initialize output
@@ -144,9 +145,11 @@ public final class FMPredictGenericUDAF extends 
AbstractGenericUDAFResolver {
             fieldNames.add("ret");
             
fieldOIs.add(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
             fieldNames.add("sumVjXj");
-            
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
+            fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+                
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
             fieldNames.add("sumV2X2");
-            
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
+            fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+                
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
 
             return 
ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
         }
@@ -310,7 +313,8 @@ public final class FMPredictGenericUDAF extends 
AbstractGenericUDAFResolver {
                 throw new HiveException("Mismatch in the number of factors");
             }
 
-            final WritableDoubleObjectInspector doubleOI = 
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
+            final WritableDoubleObjectInspector doubleOI =
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
             for (int f = 0; f < factors; f++) {
                 Object o1 = sumVjXjOI.getListElement(o_sumVjXj, f);
                 Object o2 = sumV2X2OI.getListElement(o_sumV2X2, f);

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FactorizationMachineModel.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FactorizationMachineModel.java 
b/core/src/main/java/hivemall/fm/FactorizationMachineModel.java
index eb26276..bb97bef 100644
--- a/core/src/main/java/hivemall/fm/FactorizationMachineModel.java
+++ b/core/src/main/java/hivemall/fm/FactorizationMachineModel.java
@@ -157,9 +157,9 @@ public abstract class FactorizationMachineModel {
             assert (!Double.isNaN(ret));
         }
         if (!NumberUtils.isFinite(ret)) {
-            throw new HiveException("Detected " + ret
-                    + " in predict. We recommend to normalize training 
examples.\n"
-                    + "Dumping variables ...\n" + varDump(x));
+            throw new HiveException(
+                "Detected " + ret + " in predict. We recommend to normalize 
training examples.\n"
+                        + "Dumping variables ...\n" + varDump(x));
         }
         return ret;
     }
@@ -222,9 +222,9 @@ public abstract class FactorizationMachineModel {
         float wi = getW(x);
         float nextWi = wi - eta * (gradWi + 2.f * _lambdaW * wi);
         if (!NumberUtils.isFinite(nextWi)) {
-            throw new IllegalStateException("Got " + nextWi + " for next W[" + 
x.getFeature()
-                    + "]\n" + "Xi=" + Xi + ", gradWi=" + gradWi + ", wi=" + wi 
+ ", dloss=" + dloss
-                    + ", eta=" + eta);
+            throw new IllegalStateException(
+                "Got " + nextWi + " for next W[" + x.getFeature() + "]\n" + 
"Xi=" + Xi + ", gradWi="
+                        + gradWi + ", wi=" + wi + ", dloss=" + dloss + ", 
eta=" + eta);
         }
         setW(x, nextWi);
     }
@@ -238,10 +238,10 @@ public abstract class FactorizationMachineModel {
         float LambdaVf = getLambdaV(f);
         float nextVif = Vif - eta * (gradV + 2.f * LambdaVf * Vif);
         if (!NumberUtils.isFinite(nextVif)) {
-            throw new IllegalStateException("Got " + nextVif + " for next V" + 
f + '['
-                    + x.getFeature() + "]\n" + "Xi=" + Xi + ", Vif=" + Vif + 
", h=" + h
-                    + ", gradV=" + gradV + ", lambdaVf=" + LambdaVf + ", 
dloss=" + dloss
-                    + ", sumViX=" + sumViX + ", eta=" + eta);
+            throw new IllegalStateException(
+                "Got " + nextVif + " for next V" + f + '[' + x.getFeature() + 
"]\n" + "Xi=" + Xi
+                        + ", Vif=" + Vif + ", h=" + h + ", gradV=" + gradV + 
", lambdaVf="
+                        + LambdaVf + ", dloss=" + dloss + ", sumViX=" + sumViX 
+ ", eta=" + eta);
         }
         setV(x, f, nextVif);
     }
@@ -317,8 +317,8 @@ public abstract class FactorizationMachineModel {
             ret += Vjf * xj;
         }
         if (!NumberUtils.isFinite(ret)) {
-            throw new IllegalStateException("Got " + ret + " for sumV[ " + f + 
"]X.\n" + "x = "
-                    + Arrays.toString(x));
+            throw new IllegalStateException(
+                "Got " + ret + " for sumV[ " + f + "]X.\n" + "x = " + 
Arrays.toString(x));
         }
         return ret;
     }
@@ -350,7 +350,8 @@ public abstract class FactorizationMachineModel {
         }
 
         @Nonnull
-        public static VInitScheme resolve(@Nullable String opt, @Nonnull 
VInitScheme defaultScheme) {
+        public static VInitScheme resolve(@Nullable String opt,
+                @Nonnull VInitScheme defaultScheme) {
             if (opt == null) {
                 return defaultScheme;
             } else if ("gaussian".equalsIgnoreCase(opt)) {
@@ -389,8 +390,8 @@ public abstract class FactorizationMachineModel {
                 gaussianFill(ret, _initScheme.rand, _initScheme.initStdDev);
                 break;
             default:
-                throw new IllegalStateException("Unsupported V initialization 
scheme: "
-                        + _initScheme);
+                throw new IllegalStateException(
+                    "Unsupported V initialization scheme: " + _initScheme);
         }
         return ret;
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FactorizationMachineUDTF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/fm/FactorizationMachineUDTF.java 
b/core/src/main/java/hivemall/fm/FactorizationMachineUDTF.java
index bbb3ef1..eadd451 100644
--- a/core/src/main/java/hivemall/fm/FactorizationMachineUDTF.java
+++ b/core/src/main/java/hivemall/fm/FactorizationMachineUDTF.java
@@ -65,8 +65,7 @@ import org.apache.hadoop.io.Text;
 import org.apache.hadoop.mapred.Counters.Counter;
 import org.apache.hadoop.mapred.Reporter;
 
-@Description(
-        name = "train_fm",
+@Description(name = "train_fm",
         value = "_FUNC_(array<string> x, double y [, const string options]) - 
Returns a prediction model")
 public class FactorizationMachineUDTF extends UDTFWithOptions {
     private static final Log LOG = 
LogFactory.getLog(FactorizationMachineUDTF.class);
@@ -204,10 +203,9 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
     @Override
     public StructObjectInspector initialize(ObjectInspector[] argOIs) throws 
UDFArgumentException {
         if (argOIs.length != 2 && argOIs.length != 3) {
-            throw new UDFArgumentException(
-                getClass().getSimpleName()
-                        + " takes 2 or 3 arguments: array<string> x, double y 
[, CONSTANT STRING options]: "
-                        + Arrays.toString(argOIs));
+            throw new UDFArgumentException(getClass().getSimpleName()
+                    + " takes 2 or 3 arguments: array<string> x, double y [, 
CONSTANT STRING options]: "
+                    + Arrays.toString(argOIs));
         }
         this._xOI = HiveUtils.asListOI(argOIs[0]);
         HiveUtils.validateFeatureOI(_xOI.getListElementObjectInspector());
@@ -244,7 +242,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
         fieldNames.add("W_i");
         
fieldOIs.add(PrimitiveObjectInspectorFactory.writableFloatObjectInspector);
         fieldNames.add("V_if");
-        
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableFloatObjectInspector));
+        fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+            PrimitiveObjectInspectorFactory.writableFloatObjectInspector));
 
         return 
ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
     }
@@ -311,8 +310,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
                 file = File.createTempFile("hivemall_fm", ".sgmt");
                 file.deleteOnExit();
                 if (!file.canWrite()) {
-                    throw new UDFArgumentException("Cannot write a temporary 
file: "
-                            + file.getAbsolutePath());
+                    throw new UDFArgumentException(
+                        "Cannot write a temporary file: " + 
file.getAbsolutePath());
                 }
                 LOG.info("Record training examples to a file: " + 
file.getAbsolutePath());
             } catch (IOException ioe) {
@@ -543,8 +542,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
         final boolean adaregr = _va_rand != null;
 
         final Reporter reporter = getReporter();
-        final Counter iterCounter = (reporter == null) ? null : 
reporter.getCounter(
-            "hivemall.fm.FactorizationMachines$Counter", "iteration");
+        final Counter iterCounter = (reporter == null) ? null
+                : 
reporter.getCounter("hivemall.fm.FactorizationMachines$Counter", "iteration");
 
         try {
             if (fileIO.getPosition() == 0L) {// run iterations w/o temporary 
file
@@ -589,8 +588,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
                 try {
                     fileIO.flush();
                 } catch (IOException e) {
-                    throw new HiveException("Failed to flush a file: "
-                            + fileIO.getFile().getAbsolutePath(), e);
+                    throw new HiveException(
+                        "Failed to flush a file: " + 
fileIO.getFile().getAbsolutePath(), e);
                 }
                 if (LOG.isInfoEnabled()) {
                     File tmpFile = fileIO.getFile();
@@ -615,8 +614,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
                         try {
                             bytesRead = fileIO.read(inputBuf);
                         } catch (IOException e) {
-                            throw new HiveException("Failed to read a file: "
-                                    + fileIO.getFile().getAbsolutePath(), e);
+                            throw new HiveException(
+                                "Failed to read a file: " + 
fileIO.getFile().getAbsolutePath(), e);
                         }
                         if (bytesRead == 0) { // reached file EOF
                             break;
@@ -667,8 +666,8 @@ public class FactorizationMachineUDTF extends 
UDTFWithOptions {
             try {
                 fileIO.close(true);
             } catch (IOException e) {
-                throw new HiveException("Failed to close a file: "
-                        + fileIO.getFile().getAbsolutePath(), e);
+                throw new HiveException(
+                    "Failed to close a file: " + 
fileIO.getFile().getAbsolutePath(), e);
             }
             this._inputBuf = null;
             this._fileIO = null;

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineModel.java
----------------------------------------------------------------------
diff --git 
a/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineModel.java 
b/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineModel.java
index 4c0d83e..c6c0fd0 100644
--- a/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineModel.java
+++ b/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineModel.java
@@ -109,9 +109,9 @@ public abstract class FieldAwareFactorizationMachineModel 
extends FactorizationM
             }
         }
         if (!NumberUtils.isFinite(ret)) {
-            throw new HiveException("Detected " + ret
-                    + " in predict. We recommend to normalize training 
examples.\n"
-                    + "Dumping variables ...\n" + varDump(x));
+            throw new HiveException(
+                "Detected " + ret + " in predict. We recommend to normalize 
training examples.\n"
+                        + "Dumping variables ...\n" + varDump(x));
         }
         return ret;
     }
@@ -131,9 +131,9 @@ public abstract class FieldAwareFactorizationMachineModel 
extends FactorizationM
         final float eta = eta(theta, t, gradWi);
         float nextWi = wi - eta * (gradWi + 2.f * _lambdaW * wi);
         if (!NumberUtils.isFinite(nextWi)) {
-            throw new IllegalStateException("Got " + nextWi + " for next W[" + 
x.getFeature()
-                    + "]\n" + "Xi=" + Xi + ", gradWi=" + gradWi + ", wi=" + wi 
+ ", dloss=" + dloss
-                    + ", eta=" + eta + ", t=" + t);
+            throw new IllegalStateException(
+                "Got " + nextWi + " for next W[" + x.getFeature() + "]\n" + 
"Xi=" + Xi + ", gradWi="
+                        + gradWi + ", wi=" + wi + ", dloss=" + dloss + ", 
eta=" + eta + ", t=" + t);
         }
         if (MathUtils.closeToZero(nextWi, 1E-9f)) {
             removeEntry(theta);
@@ -159,8 +159,8 @@ public abstract class FieldAwareFactorizationMachineModel 
extends FactorizationM
             return;
         }
 
-        final float nextWi = (float) ((MathUtils.sign(z) * _lambda1 - z) / 
((_beta + Math.sqrt(n))
-                / _alpha + _lambda2));
+        final float nextWi = (float) ((MathUtils.sign(z) * _lambda1 - z)
+                / ((_beta + Math.sqrt(n)) / _alpha + _lambda2));
         if (!NumberUtils.isFinite(nextWi)) {
             throw new IllegalStateException("Got " + nextWi + " for next W[" + 
x.getFeature()
                     + "]\n" + "Xi=" + Xi + ", gradWi=" + gradWi + ", wi=" + 
theta.getW()
@@ -196,10 +196,10 @@ public abstract class FieldAwareFactorizationMachineModel 
extends FactorizationM
         final float eta = eta(theta, f, t, gradV);
         final float nextV = currentV - eta * (gradV + 2.f * lambdaVf * 
currentV);
         if (!NumberUtils.isFinite(nextV)) {
-            throw new IllegalStateException("Got " + nextV + " for next V" + f 
+ '['
-                    + x.getFeatureIndex() + "]\n" + "Xi=" + Xi + ", Vif=" + 
currentV + ", h=" + h
-                    + ", gradV=" + gradV + ", lambdaVf=" + lambdaVf + ", 
dloss=" + dloss
-                    + ", sumViX=" + sumViX + ", t=" + t);
+            throw new IllegalStateException(
+                "Got " + nextV + " for next V" + f + '[' + x.getFeatureIndex() 
+ "]\n" + "Xi=" + Xi
+                        + ", Vif=" + currentV + ", h=" + h + ", gradV=" + 
gradV + ", lambdaVf="
+                        + lambdaVf + ", dloss=" + dloss + ", sumViX=" + sumViX 
+ ", t=" + t);
         }
         if (MathUtils.closeToZero(nextV, 1E-9f)) {
             theta.setV(f, 0.f);
@@ -234,13 +234,13 @@ public abstract class FieldAwareFactorizationMachineModel 
extends FactorizationM
             return;
         }
 
-        final float nextV = (float) ((MathUtils.sign(z) * _lambda1 - z) / 
((_beta + Math.sqrt(n))
-                / _alpha + _lambda2));
+        final float nextV = (float) ((MathUtils.sign(z) * _lambda1 - z)
+                / ((_beta + Math.sqrt(n)) / _alpha + _lambda2));
         if (!NumberUtils.isFinite(nextV)) {
-            throw new IllegalStateException("Got " + nextV + " for next V" + f 
+ '['
-                    + x.getFeatureIndex() + "]\n" + "Xi=" + Xi + ", Vif=" + 
theta.getV(f) + ", h="
-                    + h + ", gradV=" + gradV + ", dloss=" + dloss + ", 
sumViX=" + sumViX + ", n="
-                    + n + ", z=" + z);
+            throw new IllegalStateException(
+                "Got " + nextV + " for next V" + f + '[' + x.getFeatureIndex() 
+ "]\n" + "Xi=" + Xi
+                        + ", Vif=" + theta.getV(f) + ", h=" + h + ", gradV=" + 
gradV + ", dloss="
+                        + dloss + ", sumViX=" + sumViX + ", n=" + n + ", z=" + 
z);
         }
         if (MathUtils.closeToZero(nextV, 1E-9f)) {
             theta.setV(f, 0.f);

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineUDTF.java
----------------------------------------------------------------------
diff --git 
a/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineUDTF.java 
b/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineUDTF.java
index 953e090..610fa3d 100644
--- a/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineUDTF.java
+++ b/core/src/main/java/hivemall/fm/FieldAwareFactorizationMachineUDTF.java
@@ -56,8 +56,7 @@ import org.apache.hadoop.io.Text;
  * @link https://www.csie.ntu.edu.tw/~cjlin/libffm/
  * @since v0.5-rc.1
  */
-@Description(
-        name = "train_ffm",
+@Description(name = "train_ffm",
         value = "_FUNC_(array<string> x, double y [, const string options]) - 
Returns a prediction model")
 public final class FieldAwareFactorizationMachineUDTF extends 
FactorizationMachineUDTF {
     private static final Log LOG = 
LogFactory.getLog(FieldAwareFactorizationMachineUDTF.class);
@@ -86,7 +85,8 @@ public final class FieldAwareFactorizationMachineUDTF extends 
FactorizationMachi
         Options opts = super.getOptions();
         opts.addOption("w0", "global_bias", false,
             "Whether to include global bias term w0 [default: OFF]");
-        opts.addOption("disable_wi", "no_coeff", false, "Not to include linear 
term [default: OFF]");
+        opts.addOption("disable_wi", "no_coeff", false,
+            "Not to include linear term [default: OFF]");
         // feature hashing
         opts.addOption("feature_hashing", true,
             "The number of bits for feature hashing in range [18,31] [default: 
-1]. No feature hashing for -1.");
@@ -101,10 +101,7 @@ public final class FieldAwareFactorizationMachineUDTF 
extends FactorizationMachi
             "Alpha value (learning rate) of Follow-The-Regularized-Reader 
[default: 0.2]");
         opts.addOption("beta", "betaFTRL", true,
             "Beta value (a learning smoothing parameter) of 
Follow-The-Regularized-Reader [default: 1.0]");
-        opts.addOption(
-            "l1",
-            "lambda1",
-            true,
+        opts.addOption("l1", "lambda1", true,
             "L1 regularization value of Follow-The-Regularized-Reader that 
controls model Sparseness [default: 0.001]");
         opts.addOption("l2", "lambda2", true,
             "L2 regularization value of Follow-The-Regularized-Reader 
[default: 0.0001]");
@@ -157,7 +154,8 @@ public final class FieldAwareFactorizationMachineUDTF 
extends FactorizationMachi
         
fieldOIs.add(PrimitiveObjectInspectorFactory.writableFloatObjectInspector);
 
         fieldNames.add("Vi");
-        
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableFloatObjectInspector));
+        fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+            PrimitiveObjectInspectorFactory.writableFloatObjectInspector));
 
         return 
ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/AddBiasUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/AddBiasUDF.java 
b/core/src/main/java/hivemall/ftvec/AddBiasUDF.java
index 5870a4f..13f7d06 100644
--- a/core/src/main/java/hivemall/ftvec/AddBiasUDF.java
+++ b/core/src/main/java/hivemall/ftvec/AddBiasUDF.java
@@ -30,8 +30,7 @@ import org.apache.hadoop.hive.ql.udf.UDFType;
 import org.apache.hadoop.io.IntWritable;
 import org.apache.hadoop.io.Text;
 
-@Description(
-        name = "add_bias",
+@Description(name = "add_bias",
         value = "_FUNC_(feature_vector in array<string>) - Returns features 
with a bias in array<string>")
 @UDFType(deterministic = true, stateful = false)
 public final class AddBiasUDF extends UDF {

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/AddFeatureIndexUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/AddFeatureIndexUDF.java 
b/core/src/main/java/hivemall/ftvec/AddFeatureIndexUDF.java
index 21b3514..c13b3a9 100644
--- a/core/src/main/java/hivemall/ftvec/AddFeatureIndexUDF.java
+++ b/core/src/main/java/hivemall/ftvec/AddFeatureIndexUDF.java
@@ -35,8 +35,7 @@ import org.apache.hadoop.io.Text;
  * > ["1:3.0","2:4.0","3:5.0"]
  * </pre>
  */
-@Description(
-        name = "add_feature_index",
+@Description(name = "add_feature_index",
         value = "_FUNC_(ARRAY[DOUBLE]: dense feature vector) - Returns a 
feature vector with feature indices")
 @UDFType(deterministic = true, stateful = false)
 public final class AddFeatureIndexUDF extends UDF {

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/ExtractWeightUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/ExtractWeightUDF.java 
b/core/src/main/java/hivemall/ftvec/ExtractWeightUDF.java
index 01d4c01..f275b6f 100644
--- a/core/src/main/java/hivemall/ftvec/ExtractWeightUDF.java
+++ b/core/src/main/java/hivemall/ftvec/ExtractWeightUDF.java
@@ -29,8 +29,7 @@ import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
 import org.apache.hadoop.hive.ql.udf.UDFType;
 import org.apache.hadoop.hive.serde2.io.DoubleWritable;
 
-@Description(
-        name = "extract_weight",
+@Description(name = "extract_weight",
         value = "_FUNC_(feature_vector in array<string>) - Returns the weights 
of features in array<string>")
 @UDFType(deterministic = true, stateful = false)
 public final class ExtractWeightUDF extends UDF {

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/FeatureUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/FeatureUDF.java 
b/core/src/main/java/hivemall/ftvec/FeatureUDF.java
index b44459e..b2dc5fa 100644
--- a/core/src/main/java/hivemall/ftvec/FeatureUDF.java
+++ b/core/src/main/java/hivemall/ftvec/FeatureUDF.java
@@ -33,8 +33,7 @@ import 
org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
 import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
 import org.apache.hadoop.io.Text;
 
-@Description(
-        name = "feature",
+@Description(name = "feature",
         value = "_FUNC_(<string|int|long|short|byte> feature, <number> value) 
- Returns a feature string")
 @UDFType(deterministic = true, stateful = false)
 public final class FeatureUDF extends GenericUDF {
@@ -77,10 +76,11 @@ public final class FeatureUDF extends GenericUDF {
         }
     }
 
-    private static void validateValueOI(@Nonnull ObjectInspector argOI) throws 
UDFArgumentException {
+    private static void validateValueOI(@Nonnull ObjectInspector argOI)
+            throws UDFArgumentException {
         if (!HiveUtils.isNumberOI(argOI)) {
-            throw new UDFArgumentException("_FUNC_ expects a number type for 
`value` but got "
-                    + argOI.getTypeName());
+            throw new UDFArgumentException(
+                "_FUNC_ expects a number type for `value` but got " + 
argOI.getTypeName());
         }
     }
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/amplify/RandomAmplifierUDTF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/amplify/RandomAmplifierUDTF.java 
b/core/src/main/java/hivemall/ftvec/amplify/RandomAmplifierUDTF.java
index 687d69a..a9d7bc4 100644
--- a/core/src/main/java/hivemall/ftvec/amplify/RandomAmplifierUDTF.java
+++ b/core/src/main/java/hivemall/ftvec/amplify/RandomAmplifierUDTF.java
@@ -40,7 +40,8 @@ import 
org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
 
 @Description(name = "rand_amplify", value = "_FUNC_(const int xtimes [, const 
string options], *)"
         + " - amplify the input records x-times in map-side")
-public final class RandomAmplifierUDTF extends UDTFWithOptions implements 
DropoutListener<Object[]> {
+public final class RandomAmplifierUDTF extends UDTFWithOptions
+        implements DropoutListener<Object[]> {
 
     private boolean hasOption = false;
     private long seed = -1L;
@@ -66,7 +67,8 @@ public final class RandomAmplifierUDTF extends 
UDTFWithOptions implements Dropou
             cl = parseOptions(rawArgs);
             this.hasOption = true;
             this.seed = Primitives.parseLong(cl.getOptionValue("seed"), 
this.seed);
-            this.numBuffers = 
Primitives.parseInt(cl.getOptionValue("num_buffers"), this.numBuffers);
+            this.numBuffers =
+                    Primitives.parseInt(cl.getOptionValue("num_buffers"), 
this.numBuffers);
         }
         return cl;
     }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/binning/BuildBinsUDAF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/binning/BuildBinsUDAF.java 
b/core/src/main/java/hivemall/ftvec/binning/BuildBinsUDAF.java
index 995414d..b2f4fc5 100644
--- a/core/src/main/java/hivemall/ftvec/binning/BuildBinsUDAF.java
+++ b/core/src/main/java/hivemall/ftvec/binning/BuildBinsUDAF.java
@@ -145,23 +145,31 @@ public final class BuildBinsUDAF extends 
AbstractGenericUDAFResolver {
                 autoShrinkField = structOI.getStructFieldRef("autoShrink");
                 histogramField = structOI.getStructFieldRef("histogram");
                 quantilesField = structOI.getStructFieldRef("quantiles");
-                autoShrinkOI = (WritableBooleanObjectInspector) 
autoShrinkField.getFieldObjectInspector();
-                histogramOI = (StandardListObjectInspector) 
histogramField.getFieldObjectInspector();
-                quantilesOI = (StandardListObjectInspector) 
quantilesField.getFieldObjectInspector();
-                histogramElOI = (WritableDoubleObjectInspector) 
histogramOI.getListElementObjectInspector();
-                quantileOI = (WritableDoubleObjectInspector) 
quantilesOI.getListElementObjectInspector();
+                autoShrinkOI =
+                        (WritableBooleanObjectInspector) 
autoShrinkField.getFieldObjectInspector();
+                histogramOI =
+                        (StandardListObjectInspector) 
histogramField.getFieldObjectInspector();
+                quantilesOI =
+                        (StandardListObjectInspector) 
quantilesField.getFieldObjectInspector();
+                histogramElOI =
+                        (WritableDoubleObjectInspector) 
histogramOI.getListElementObjectInspector();
+                quantileOI =
+                        (WritableDoubleObjectInspector) 
quantilesOI.getListElementObjectInspector();
             }
 
             if (mode == Mode.PARTIAL1 || mode == Mode.PARTIAL2) {
                 final ArrayList<ObjectInspector> fieldOIs = new 
ArrayList<ObjectInspector>();
                 
fieldOIs.add(PrimitiveObjectInspectorFactory.writableBooleanObjectInspector);
-                
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
-                
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
+                
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
+                
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
 
                 return ObjectInspectorFactory.getStandardStructObjectInspector(
                     Arrays.asList("autoShrink", "histogram", "quantiles"), 
fieldOIs);
             } else {
-                return 
ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
+                return ObjectInspectorFactory.getStandardListObjectInspector(
+                    
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
             }
         }
 
@@ -215,7 +223,8 @@ public final class BuildBinsUDAF extends 
AbstractGenericUDAFResolver {
 
             final BuildBinsAggregationBuffer myAgg = 
(BuildBinsAggregationBuffer) agg;
 
-            myAgg.autoShrink = 
autoShrinkOI.get(structOI.getStructFieldData(other, autoShrinkField));
+            myAgg.autoShrink =
+                    autoShrinkOI.get(structOI.getStructFieldData(other, 
autoShrinkField));
 
             final List<?> histogram = ((LazyBinaryArray) 
structOI.getStructFieldData(other,
                 histogramField)).getList();
@@ -235,8 +244,9 @@ public final class BuildBinsUDAF extends 
AbstractGenericUDAFResolver {
             final Object[] partialResult = new Object[3];
             partialResult[0] = new BooleanWritable(myAgg.autoShrink);
             partialResult[1] = myAgg.histogram.serialize();
-            partialResult[2] = (myAgg.quantiles != null) ? 
WritableUtils.toWritableList(myAgg.quantiles)
-                    : Collections.singletonList(new DoubleWritable(0));
+            partialResult[2] =
+                    (myAgg.quantiles != null) ? 
WritableUtils.toWritableList(myAgg.quantiles)
+                            : Collections.singletonList(new DoubleWritable(0));
             return partialResult;
         }
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java 
b/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java
index 14966bf..f713937 100644
--- a/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java
+++ b/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java
@@ -39,8 +39,7 @@ import org.apache.hadoop.io.Text;
 
 import java.util.*;
 
-@Description(
-        name = "feature_binning",
+@Description(name = "feature_binning",
         value = "_FUNC_(array<features::string> features, const map<string, 
array<number>> quantiles_map)"
                 + " / _FUNC_(number weight, const array<number> quantiles)"
                 + " - Returns binned features as an array<features::string> / 
bin ID as int")
@@ -69,7 +68,8 @@ public final class FeatureBinningUDF extends GenericUDF {
         if (HiveUtils.isListOI(OIs[0]) && HiveUtils.isMapOI(OIs[1])) {
             // for (array<features::string> features, const map<string, 
array<number>> quantiles_map)
 
-            if (!HiveUtils.isStringOI(((ListObjectInspector) 
OIs[0]).getListElementObjectInspector())) {
+            if (!HiveUtils.isStringOI(
+                ((ListObjectInspector) 
OIs[0]).getListElementObjectInspector())) {
                 throw new UDFArgumentTypeException(0,
                     "Only array<string> type argument is acceptable but " + 
OIs[0].getTypeName()
                             + " was passed as `features`");
@@ -80,18 +80,21 @@ public final class FeatureBinningUDF extends GenericUDF {
             quantilesMapOI = HiveUtils.asMapOI(OIs[1]);
             if 
(!HiveUtils.isStringOI(quantilesMapOI.getMapKeyObjectInspector())
                     || 
!HiveUtils.isListOI(quantilesMapOI.getMapValueObjectInspector())
-                    || !HiveUtils.isNumberOI(((ListObjectInspector) 
quantilesMapOI.getMapValueObjectInspector()).getListElementObjectInspector())) {
+                    || !HiveUtils.isNumberOI(
+                        ((ListObjectInspector) 
quantilesMapOI.getMapValueObjectInspector()).getListElementObjectInspector())) {
                 throw new UDFArgumentTypeException(1,
                     "Only map<string, array<number>> type argument is 
acceptable but "
                             + OIs[1].getTypeName() + " was passed as 
`quantiles_map`");
             }
             keyOI = 
HiveUtils.asStringOI(quantilesMapOI.getMapKeyObjectInspector());
             quantilesOI = 
HiveUtils.asListOI(quantilesMapOI.getMapValueObjectInspector());
-            quantileOI = 
HiveUtils.asDoubleCompatibleOI(quantilesOI.getListElementObjectInspector());
+            quantileOI =
+                    
HiveUtils.asDoubleCompatibleOI(quantilesOI.getListElementObjectInspector());
 
             multiple = true;
 
-            return 
ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
+            return ObjectInspectorFactory.getStandardListObjectInspector(
+                PrimitiveObjectInspectorFactory.writableStringObjectInspector);
         } else if (HiveUtils.isPrimitiveOI(OIs[0]) && 
HiveUtils.isListOI(OIs[1])) {
             // for (number weight, const array<number> quantiles)
 
@@ -103,7 +106,8 @@ public final class FeatureBinningUDF extends GenericUDF {
                     "Only array<number> type argument is acceptable but " + 
OIs[1].getTypeName()
                             + " was passed as `quantiles`");
             }
-            quantileOI = 
HiveUtils.asDoubleCompatibleOI(quantilesOI.getListElementObjectInspector());
+            quantileOI =
+                    
HiveUtils.asDoubleCompatibleOI(quantilesOI.getListElementObjectInspector());
 
             multiple = false;
 
@@ -148,7 +152,8 @@ public final class FeatureBinningUDF extends GenericUDF {
 
                     // binning
                     if (quantilesMap.containsKey(key)) {
-                        val = String.valueOf(findBin(quantilesMap.get(key), 
Double.parseDouble(val)));
+                        val = String.valueOf(
+                            findBin(quantilesMap.get(key), 
Double.parseDouble(val)));
                     }
                     result.add(new Text(key + ":" + val));
                 }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/binning/NumericHistogram.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/binning/NumericHistogram.java 
b/core/src/main/java/hivemall/ftvec/binning/NumericHistogram.java
index e4c4d4d..ee0ca32 100644
--- a/core/src/main/java/hivemall/ftvec/binning/NumericHistogram.java
+++ b/core/src/main/java/hivemall/ftvec/binning/NumericHistogram.java
@@ -32,10 +32,10 @@ import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.DoubleObjectInspe
  * **THIS CLASS IS IMPORTED FROM HIVE 2.1.0 FOR COMPATIBILITY**
  *
  * A generic, re-usable histogram class that supports partial aggregations. 
The algorithm is a
- * heuristic adapted from the following paper: Yael Ben-Haim and Elad Tom-Tov,
- * "A streaming parallel decision tree algorithm", J. Machine Learning 
Research 11 (2010), pp.
- * 849--872. Although there are no approximation guarantees, it appears to 
work well with adequate
- * data and a large (e.g., 20-80) number of histogram bins.
+ * heuristic adapted from the following paper: Yael Ben-Haim and Elad Tom-Tov, 
"A streaming parallel
+ * decision tree algorithm", J. Machine Learning Research 11 (2010), pp. 
849--872. Although there
+ * are no approximation guarantees, it appears to work well with adequate data 
and a large (e.g.,
+ * 20-80) number of histogram bins.
  */
 public final class NumericHistogram {
     /**
@@ -242,8 +242,8 @@ public final class NumericHistogram {
             double d = bins.get(smallestdiffloc).y + bins.get(smallestdiffloc 
+ 1).y;
             Coord smallestdiffbin = bins.get(smallestdiffloc);
             smallestdiffbin.x *= smallestdiffbin.y / d;
-            smallestdiffbin.x += bins.get(smallestdiffloc + 1).x / d
-                    * bins.get(smallestdiffloc + 1).y;
+            smallestdiffbin.x +=
+                    bins.get(smallestdiffloc + 1).x / d * 
bins.get(smallestdiffloc + 1).y;
             smallestdiffbin.y = d;
             // Shift the remaining bins left one position
             bins.remove(smallestdiffloc + 1);
@@ -273,8 +273,8 @@ public final class NumericHistogram {
                 }
 
                 csum -= bins.get(b).y;
-                double r = bins.get(b - 1).x + (q * sum - csum)
-                        * (bins.get(b).x - bins.get(b - 1).x) / 
(bins.get(b).y);
+                double r = bins.get(b - 1).x
+                        + (q * sum - csum) * (bins.get(b).x - bins.get(b - 
1).x) / (bins.get(b).y);
                 return r;
             }
         }

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/conv/ConvertToDenseModelUDAF.java
----------------------------------------------------------------------
diff --git 
a/core/src/main/java/hivemall/ftvec/conv/ConvertToDenseModelUDAF.java 
b/core/src/main/java/hivemall/ftvec/conv/ConvertToDenseModelUDAF.java
index 008dd3a..3ffe015 100644
--- a/core/src/main/java/hivemall/ftvec/conv/ConvertToDenseModelUDAF.java
+++ b/core/src/main/java/hivemall/ftvec/conv/ConvertToDenseModelUDAF.java
@@ -28,8 +28,7 @@ import org.apache.hadoop.hive.ql.exec.UDAFEvaluator;
 import org.apache.hadoop.io.FloatWritable;
 
 @SuppressWarnings("deprecation")
-@Description(
-        name = "conv2dense",
+@Description(name = "conv2dense",
         value = "_FUNC_(int feature, float weight, int nDims) - Return a dense 
model in array<float>")
 public class ConvertToDenseModelUDAF extends UDAF {
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/conv/QuantifyColumnsUDTF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/conv/QuantifyColumnsUDTF.java 
b/core/src/main/java/hivemall/ftvec/conv/QuantifyColumnsUDTF.java
index dcca752..ca706f6 100644
--- a/core/src/main/java/hivemall/ftvec/conv/QuantifyColumnsUDTF.java
+++ b/core/src/main/java/hivemall/ftvec/conv/QuantifyColumnsUDTF.java
@@ -48,8 +48,8 @@ public final class QuantifyColumnsUDTF extends GenericUDTF {
     public StructObjectInspector initialize(ObjectInspector[] argOIs) throws 
UDFArgumentException {
         int size = argOIs.length;
         if (size < 2) {
-            throw new UDFArgumentException("quantified_features takes at least 
two arguments: "
-                    + size);
+            throw new UDFArgumentException(
+                "quantified_features takes at least two arguments: " + size);
         }
         this.boolOI = HiveUtils.asBooleanOI(argOIs[0]);
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/hashing/ArrayHashValuesUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/hashing/ArrayHashValuesUDF.java 
b/core/src/main/java/hivemall/ftvec/hashing/ArrayHashValuesUDF.java
index b8c0c13..86f0583 100644
--- a/core/src/main/java/hivemall/ftvec/hashing/ArrayHashValuesUDF.java
+++ b/core/src/main/java/hivemall/ftvec/hashing/ArrayHashValuesUDF.java
@@ -30,8 +30,7 @@ import org.apache.hadoop.hive.ql.exec.UDF;
 import org.apache.hadoop.hive.ql.udf.UDFType;
 import org.apache.hadoop.io.IntWritable;
 
-@Description(
-        name = "array_hash_values",
+@Description(name = "array_hash_values",
         value = "_FUNC_(array<string> values, [string prefix [, int 
numFeatures], boolean useIndexAsPrefix])"
                 + " returns hash values in array<int>")
 @UDFType(deterministic = true, stateful = false)
@@ -45,7 +44,8 @@ public final class ArrayHashValuesUDF extends UDF {
         return evaluate(values, prefix, MurmurHash3.DEFAULT_NUM_FEATURES);
     }
 
-    public List<IntWritable> evaluate(List<String> values, String prefix, 
boolean useIndexAsPrefix) {
+    public List<IntWritable> evaluate(List<String> values, String prefix,
+            boolean useIndexAsPrefix) {
         return evaluate(values, prefix, MurmurHash3.DEFAULT_NUM_FEATURES, 
useIndexAsPrefix);
     }
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/c4036695/core/src/main/java/hivemall/ftvec/hashing/FeatureHashingUDF.java
----------------------------------------------------------------------
diff --git a/core/src/main/java/hivemall/ftvec/hashing/FeatureHashingUDF.java 
b/core/src/main/java/hivemall/ftvec/hashing/FeatureHashingUDF.java
index ce6565c..b2d5dac 100644
--- a/core/src/main/java/hivemall/ftvec/hashing/FeatureHashingUDF.java
+++ b/core/src/main/java/hivemall/ftvec/hashing/FeatureHashingUDF.java
@@ -98,7 +98,8 @@ public final class FeatureHashingUDF extends UDFWithOptions {
         if (_listOI == null) {
             return 
PrimitiveObjectInspectorFactory.writableStringObjectInspector;
         } else {
-            return 
ObjectInspectorFactory.getStandardListObjectInspector(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
+            return ObjectInspectorFactory.getStandardListObjectInspector(
+                PrimitiveObjectInspectorFactory.writableStringObjectInspector);
         }
     }
 


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