Incremental Hyperparameter Tuning Algorithms

moa/src/main/java/moa/classifiers/meta/AutoML/Algorithm.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/Algorithm.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.github.javacliparser.Option;
 import com.github.javacliparser.Options;

moa/src/main/java/moa/classifiers/meta/AutoML/AutoClass.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/AutoClass.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.github.javacliparser.FileOption;
 import com.google.gson.Gson;
@@ -9,7 +9,6 @@
 import moa.classifiers.Classifier;
 import moa.classifiers.MultiClassClassifier;
 import moa.classifiers.meta.AdaptiveRandomForestRegressor;
-import moa.core.DoubleVector;
 import moa.core.Measurement;
 import moa.core.ObjectRepository;
 import moa.tasks.TaskMonitor;

moa/src/main/java/moa/classifiers/meta/AutoML/BooleanParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/BooleanParameter.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.yahoo.labs.samoa.instances.Attribute;
 import java.util.ArrayList;

moa/src/main/java/moa/classifiers/meta/AutoML/CategoricalParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/CategoricalParameter.java

@@ -1,7 +1,6 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.yahoo.labs.samoa.instances.Attribute;
-import moa.classifiers.meta.AutoML.IParameter;
 
 import java.util.ArrayList;
 import java.util.Arrays;

moa/src/main/java/moa/classifiers/meta/AutoML/HeterogeneousEnsembleAbstract.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/HeterogeneousEnsembleAbstract.java

@@ -17,7 +17,7 @@
  *    along with this program. If not, see <http://www.gnu.org/licenses/>.
  *    
  */
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.github.javacliparser.FlagOption;
 import com.github.javacliparser.IntOption;

moa/src/main/java/moa/classifiers/meta/AutoML/IParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/IParameter.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 // interface allows us to maintain a single list of parameters
 public interface IParameter {

moa/src/main/java/moa/classifiers/meta/AutoML/IntegerParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/IntegerParameter.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.yahoo.labs.samoa.instances.Attribute;
 

moa/src/main/java/moa/classifiers/meta/AutoML/NumericalParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/NumericalParameter.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.yahoo.labs.samoa.instances.Attribute;
 

moa/src/main/java/moa/classifiers/meta/AutoML/OrdinalParameter.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/OrdinalParameter.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import com.yahoo.labs.samoa.instances.Attribute;
 

moa/src/main/java/moa/classifiers/meta/AutoML/TruncatedNormal.java → moa/src/main/java/moa/classifiers/AutoML/AutoClass/TruncatedNormal.java

@@ -1,4 +1,4 @@
-package moa.classifiers.meta.AutoML;
+package moa.classifiers.AutoML.AutoClass;
 
 import org.apache.commons.math3.distribution.NormalDistribution;
 //import umontreal.iro.lecuyer.probdist.NormalDist;