Skeleton code about to be deleted. Slight changes in this commit, not…

…hing serious. Eventually the sekeleton package will be deleted since it's no longer used, but kept around as a base of reference.

src/com/weaverworx/usc/csci561/assignment3/skeleton/KNearestNeighbor_Skeleton.java

@@ -1,11 +1,7 @@
-/*
- * To change this template, choose Tools | Templates
- * and open the template in the editor.
- */
 package com.weaverworx.usc.csci561.assignment3.skeleton;
 
 import com.weaverworx.usc.csci561.assignment3.knn.KNNRecord;
-import com.weaverworx.usc.csci561.assignment3.util.FileReader;
+import com.weaverworx.usc.csci561.assignment3.util.ClassifierInputReader;
 import com.weaverworx.usc.csci561.assignment3.util.LearningUtil;
 
 /**
@@ -22,9 +18,9 @@ public static void main(String args[]) {
 
 		int K = LearningUtil.parseKArgument(args); // read K from user input
 
-		int[][] train = FileReader.getTrainingData(numberOfFeatures, numberOfClasses); // last column 785 is a class of train
+		int[][] train = ClassifierInputReader.getTrainingData(numberOfFeatures, numberOfClasses); // last column 785 is a class of train
 											// image
-		int[][] test = FileReader.getTestData(numberOfFeatures, numberOfClasses); // last column 785 is a class of test
+		int[][] test = ClassifierInputReader.getTestData(numberOfFeatures, numberOfClasses); // last column 785 is a class of test
 										// image
 
 		KNNRecord[] knn_records = new KNNRecord[train.length]; //

src/com/weaverworx/usc/csci561/assignment3/skeleton/NaiveBayes_Skeleton.java

@@ -1,13 +1,9 @@
-/*
- * To change this template, choose Tools | Templates
- * and open the template in the editor.
- */
 package com.weaverworx.usc.csci561.assignment3.skeleton;
 
 import java.io.*;
 import java.util.*;
 
-import com.weaverworx.usc.csci561.assignment3.util.FileReader;
+import com.weaverworx.usc.csci561.assignment3.util.ClassifierInputReader;
 import com.weaverworx.usc.csci561.assignment3.util.LearningUtil;
 
 /**
@@ -29,9 +25,9 @@ public static void main(String args[]) {
 
 		int threshold = LearningUtil.parseKArgument(args); // read threshold
 
-		int[][] trainingData = FileReader.getTrainingData(numberOfFeatures, numberOfClasses); // last column 785 is a class of train
+		int[][] trainingData = ClassifierInputReader.getTrainingData(numberOfFeatures, numberOfClasses); // last column 785 is a class of train
 											// image
-		int[][] testData = FileReader.getTestData(numberOfFeatures, numberOfClasses); // last column 785 is a class of test
+		int[][] testData = ClassifierInputReader.getTestData(numberOfFeatures, numberOfClasses); // last column 785 is a class of test
 										// image
 
 		//Setup N_Y: the number of times a given training data appears amongst ALL the training data.