rename files/packages

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/BasicWalkThrough.java

@@ -13,17 +13,19 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.*;
-import org.dmlc.xgboost4j.demo.util.DataLoader;
+package ml.dmlc.xgboost4j.demo;
 
 import java.io.File;
 import java.io.IOException;
-import java.io.UnsupportedEncodingException;
 import java.util.Arrays;
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+import ml.dmlc.xgboost4j.demo.util.DataLoader;
+
 /**
  * a simple example of java wrapper for xgboost
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/BoostFromPrediction.java

@@ -13,12 +13,15 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.*;
+package ml.dmlc.xgboost4j.demo;
 
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+
 /**
  * example for start from a initial base prediction
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/CrossValidation.java

@@ -13,15 +13,15 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.DMatrix;
-import org.dmlc.xgboost4j.XGBoost;
-import org.dmlc.xgboost4j.XGBoostError;
+package ml.dmlc.xgboost4j.demo;
 
 import java.io.IOException;
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+
 /**
  * an example of cross validation
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/CustomObjective.java

@@ -13,16 +13,16 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.apache.commons.logging.Log;
-import org.apache.commons.logging.LogFactory;
-import org.dmlc.xgboost4j.*;
+package ml.dmlc.xgboost4j.demo;
 
 import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 
+import ml.dmlc.xgboost4j.*;
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+
 /**
  * an example user define objective and eval
  * NOTE: when you do customized loss function, the default prediction value is margin
@@ -64,7 +64,7 @@ public class CustomObjective {
     }
 
     @Override
-    public List<float[]> getGradient(float[][] predicts, org.dmlc.xgboost4j.DMatrix dtrain) {
+    public List<float[]> getGradient(float[][] predicts, DMatrix dtrain) {
       int nrow = predicts.length;
       List<float[]> gradients = new ArrayList<float[]>();
       float[] labels;
@@ -114,7 +114,7 @@ public class CustomObjective {
     }
 
     @Override
-    public float eval(float[][] predicts, org.dmlc.xgboost4j.DMatrix dmat) {
+    public float eval(float[][] predicts, DMatrix dmat) {
       float error = 0f;
       float[] labels;
       try {
@@ -138,11 +138,9 @@ public class CustomObjective {
 
   public static void main(String[] args) throws XGBoostError {
     //load train mat (svmlight format)
-    org.dmlc.xgboost4j.DMatrix trainMat =
-            new org.dmlc.xgboost4j.DMatrix("../../demo/data/agaricus.txt.train");
+    DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
     //load valid mat (svmlight format)
-    org.dmlc.xgboost4j.DMatrix testMat =
-            new org.dmlc.xgboost4j.DMatrix("../../demo/data/agaricus.txt.test");
+    DMatrix testMat = new DMatrix("../../demo/data/agaricus.txt.test");
 
     HashMap<String, Object> params = new HashMap<String, Object>();
     params.put("eta", 1.0);
@@ -154,8 +152,7 @@ public class CustomObjective {
     int round = 2;
 
     //specify watchList
-    HashMap<String, org.dmlc.xgboost4j.DMatrix> watches =
-            new HashMap<String, org.dmlc.xgboost4j.DMatrix>();
+    HashMap<String, DMatrix> watches = new HashMap<String, DMatrix>();
     watches.put("train", trainMat);
     watches.put("test", testMat);
 

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/ExternalMemory.java

@@ -13,12 +13,15 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.*;
+package ml.dmlc.xgboost4j.demo;
 
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+
 /**
  * simple example for using external memory version
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/GeneralizedLinearModel.java

@@ -13,10 +13,13 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
+package ml.dmlc.xgboost4j.demo;
 
-import org.dmlc.xgboost4j.*;
-import org.dmlc.xgboost4j.demo.util.CustomEval;
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+import ml.dmlc.xgboost4j.demo.util.CustomEval;
 
 import java.util.HashMap;
 

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/PredictFirstNtree.java

@@ -13,13 +13,16 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.*;
-import org.dmlc.xgboost4j.demo.util.CustomEval;
+package ml.dmlc.xgboost4j.demo;
 
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+import ml.dmlc.xgboost4j.demo.util.CustomEval;
+
 /**
  * predict first ntree
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/PredictLeafIndices.java

@@ -13,13 +13,16 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo;
-
-import org.dmlc.xgboost4j.*;
+package ml.dmlc.xgboost4j.demo;
 
 import java.util.Arrays;
 import java.util.HashMap;
 
+import ml.dmlc.xgboost4j.Booster;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.XGBoost;
+import ml.dmlc.xgboost4j.XGBoostError;
+
 /**
  * predict leaf indices
  *

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/util/CustomEval.java

@@ -13,13 +13,13 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo.util;
+package ml.dmlc.xgboost4j.demo.util;
 
 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
-import org.dmlc.xgboost4j.DMatrix;
-import org.dmlc.xgboost4j.IEvaluation;
-import org.dmlc.xgboost4j.XGBoostError;
+import ml.dmlc.xgboost4j.DMatrix;
+import ml.dmlc.xgboost4j.IEvaluation;
+import ml.dmlc.xgboost4j.XGBoostError;
 
 /**
  * a util evaluation class for examples

jvm-packages/xgboost4j-demo/src/main/java/ml/dmlc/xgboost4j/demo/util/DataLoader.java

@@ -13,7 +13,7 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  */
-package org.dmlc.xgboost4j.demo.util;
+package ml.dmlc.xgboost4j.demo.util;
 
 import org.apache.commons.lang3.ArrayUtils;