SYMBOL INDEX (372 symbols across 24 files)

FILE: src/algorithms/ItemKNN.java
  class ItemKNN (line 22) | public class ItemKNN extends TopKRecommender {
    method ItemKNN (line 33) | public ItemKNN(SparseMatrix trainMatrix, ArrayList<Rating> testRatings,
    method buildModel (line 40) | public void buildModel() {
    method buildModel_items (line 67) | protected void buildModel_items(int startItem, int endItem) {
    method predict (line 91) | public double predict(int u, int i) {
    method updateModel (line 95) | @Override
  class ItemKNNThread (line 103) | class ItemKNNThread extends Thread {
    method ItemKNNThread (line 108) | public ItemKNNThread(ItemKNN model, int startItem, int endItem) {
    method run (line 114) | public void run() {

FILE: src/algorithms/ItemPopularity.java
  class ItemPopularity (line 9) | public class ItemPopularity extends TopKRecommender {
    method ItemPopularity (line 12) | public ItemPopularity(SparseMatrix trainMatrix, ArrayList<Rating> test...
    method buildModel (line 18) | public void buildModel() {
    method predict (line 25) | public double predict(int u, int i) {
    method updateModel (line 29) | @Override

FILE: src/algorithms/MF_ALS.java
  class MF_ALS (line 22) | public class MF_ALS extends TopKRecommender {
    method MF_ALS (line 42) | public MF_ALS(SparseMatrix trainMatrix, ArrayList<Rating> testRatings,
    method setUV (line 58) | public void setUV(DenseMatrix U, DenseMatrix V) {
    method initialize (line 65) | private void initialize() {
    method buildModel (line 76) | public void buildModel() {
    method runOneIteration (line 104) | public void runOneIteration() {
    method update_user (line 116) | private void update_user(int u) {
    method update_item (line 153) | private void update_item(int i) {
    method showLoss (line 191) | public double showLoss(int iter, long start, double loss_pre) {
    method loss (line 202) | public double loss() {
    method predict (line 229) | @Override
    method updateModel (line 234) | @Override

FILE: src/algorithms/MF_CD.java
  class MF_CD (line 22) | public class MF_CD extends TopKRecommender {
    method MF_CD (line 53) | public MF_CD(SparseMatrix trainMatrix, ArrayList<Rating> testRatings,
    method initialize (line 74) | private void initialize() {
    method setTrain (line 84) | public void setTrain(SparseMatrix trainMatrix) {
    method setLSpriors (line 92) | public void setLSpriors(int LSMaxIter, double Alpha, double Beta) {
    method setUV (line 99) | public void setUV(DenseMatrix U, DenseMatrix V) {
    method buildModel (line 109) | public void buildModel() {
    method runOneIteration (line 139) | public void runOneIteration() {
    method linesearch (line 154) | private double linesearch(int index, DenseVector embedding,
    method error_row (line 179) | private double error_row(int index, DenseVector embedding) {
    method update_user (line 204) | private void update_user(int u) {
    method update_item (line 233) | private void update_item(int i) {
    method showLoss (line 262) | public double showLoss(int iter, long start, double loss_pre) {
    method loss (line 273) | public double loss() {
    method predict (line 288) | @Override
    method updateModel (line 293) | @Override

FILE: src/algorithms/MF_fastALS.java
  class MF_fastALS (line 22) | public class MF_fastALS extends TopKRecommender {
    method MF_fastALS (line 54) | public MF_fastALS(SparseMatrix trainMatrix, ArrayList<Rating> testRati...
    method setTrain (line 107) | public void setTrain(SparseMatrix trainMatrix) {
    method initS (line 116) | private void initS() {
    method setUV (line 132) | public void setUV(DenseMatrix U, DenseMatrix V) {
    method buildModel (line 138) | public void buildModel() {
    method runOneIteration (line 166) | public void runOneIteration() {
    method update_user (line 178) | protected void update_user(int u) {
    method update_item (line 225) | protected void update_item(int i) {
    method showLoss (line 271) | public double showLoss(int iter, long start, double loss_pre) {
    method loss (line 282) | public double loss() {
    method predict (line 298) | @Override
    method updateModel (line 303) | @Override

FILE: src/algorithms/MFbpr.java
  class MFbpr (line 25) | public class MFbpr extends TopKRecommender {
    method MFbpr (line 45) | public MFbpr(SparseMatrix trainMatrix, ArrayList<Rating> testRatings,
    method setUV (line 67) | public void setUV(DenseMatrix U, DenseMatrix V) {
    method buildModel (line 72) | public void buildModel() {
    method runOneIteration (line 106) | public void runOneIteration() {
    method update_ui (line 124) | private void update_ui(int u, int i) {
    method predict (line 158) | @Override
    method partial_loss (line 164) | private double partial_loss(double x) {
    method updateModel (line 171) | public void updateModel(int u, int item) {

FILE: src/algorithms/TopKRecommender.java
  class TopKRecommender (line 26) | public abstract class TopKRecommender {
    method TopKRecommender (line 48) | public TopKRecommender() {}
    method TopKRecommender (line 50) | public TopKRecommender(SparseMatrix trainMatrix,
    method predict (line 64) | public abstract double predict(int u, int i);
    method buildModel (line 69) | public abstract void buildModel();
    method updateModel (line 74) | public abstract void updateModel(int u, int i);
    method showProgress (line 82) | public void showProgress(int iter, long start, ArrayList<Rating> testR...
    method evaluateOnline (line 100) | public void evaluateOnline(ArrayList<Rating> testRatings, int interval) {
    method threadSplit (line 152) | protected ArrayList<Integer> threadSplit(int total, int threadNum, int...
    method evaluate (line 168) | public void evaluate(ArrayList<Rating> testRatings) {
    method evaluate_for_user (line 202) | protected double[] evaluate_for_user(int u, int gtItem) {
    method getHitRatio (line 235) | public double getHitRatio(List<Integer> rankList, int gtItem) {
    method getNDCG (line 249) | public double getNDCG(List<Integer> rankList, int gtItem) {
    method getPrecision (line 258) | public double getPrecision(List<Integer> rankList, int gtItem) {
    method runOneIteration (line 268) | public void runOneIteration() {}
    method loss (line 271) | public double loss() {return 0;}
    method setUV (line 274) | public void setUV(DenseMatrix U, DenseMatrix V) {}
  class EvaluationThread (line 278) | class EvaluationThread extends Thread {
    method EvaluationThread (line 283) | public EvaluationThread(TopKRecommender model, ArrayList<Rating> testR...
    method run (line 290) | public void run() {

FILE: src/data_structure/DataMap.java
  class DataMap (line 14) | public class DataMap<Key extends Comparable<Key>, Val> implements Iterab...
    method DataMap (line 24) | public DataMap() {
    method DataMap (line 33) | public DataMap(int capacity) {
    method get (line 46) | public Val get(Key key) {
    method put (line 56) | public void put(Key key, Val value) {
    method remove (line 71) | public Val remove(Key key) {
    method contains (line 81) | public boolean contains(Key key) {
    method iterator (line 90) | @Override
    method itemCount (line 103) | public int itemCount() {

FILE: src/data_structure/DenseMatrix.java
  class DenseMatrix (line 38) | public class DenseMatrix implements Serializable {
    method DenseMatrix (line 55) | public DenseMatrix(int numRows, int numColumns) {
    method DenseMatrix (line 68) | public DenseMatrix(double[][] array) {
    method DenseMatrix (line 82) | public DenseMatrix(DenseMatrix mat) {
    method clone (line 89) | public DenseMatrix clone() {
    method eye (line 100) | public static DenseMatrix eye(int dim) {
    method init (line 115) | public void init(double mean, double sigma) {
    method init (line 124) | public void init(double range) {
    method init (line 134) | public void init() {
    method numRows (line 141) | public int numRows() {
    method numColumns (line 148) | public int numColumns() {
    method row (line 157) | public DenseVector row(int rowId) {
    method row (line 170) | public DenseVector row(int rowId, boolean deep) {
    method column (line 179) | public DenseVector column(int column) {
    method columnMean (line 195) | public double columnMean(int column) {
    method squaredSum (line 207) | public double squaredSum() {
    method norm (line 220) | public double norm() {
    method rowMult (line 243) | public static double rowMult(DenseMatrix m, int mrow, DenseMatrix n, i...
    method colMult (line 266) | public static double colMult(DenseMatrix m, int mcol, DenseMatrix n, i...
    method product (line 290) | public static double product(DenseMatrix m, int mrow, DenseMatrix n, i...
    method mult (line 307) | public DenseMatrix mult(DenseMatrix mat) {
    method mult (line 330) | public DenseVector mult(DenseVector vec) {
    method get (line 343) | public double get(int row, int column) {
    method set (line 350) | public void set(int row, int column, double val) {
    method add (line 357) | public void add(int row, int column, double val) {
    method scale (line 364) | public DenseMatrix scale(double val) {
    method selfScale (line 376) | public void selfScale(double val) {
    method add (line 387) | public DenseMatrix add(DenseMatrix mat) {
    method selfAdd (line 400) | public void selfAdd(DenseMatrix mat) {
    method add (line 416) | public DenseMatrix add(double val) {
    method minus (line 432) | public DenseMatrix minus(DenseMatrix mat) {
    method minus (line 451) | public DenseMatrix minus(double val) {
    method cholesky (line 465) | public DenseMatrix cholesky() {
    method transpose (line 491) | public DenseMatrix transpose() {
    method cov (line 504) | public DenseMatrix cov() {
    method inverse (line 531) | public DenseMatrix inverse() {
    method inv (line 631) | public DenseMatrix inv() {
    method setRow (line 711) | public void setRow(int row, double val) {
    method setRow (line 723) | public void setRow(int row, DenseVector vals) {
    method clear (line 731) | public void clear() {
    method toString (line 736) | @Override

FILE: src/data_structure/DenseVector.java
  class DenseVector (line 33) | public class DenseVector implements Serializable {
    method DenseVector (line 46) | public DenseVector(int size) {
    method DenseVector (line 54) | public DenseVector(double[] array) {
    method DenseVector (line 66) | public DenseVector(double[] array, boolean deep) {
    method DenseVector (line 80) | public DenseVector(DenseVector vec) {
    method clone (line 87) | public DenseVector clone() {
    method size (line 91) | public int size() {
    method init (line 98) | public void init(double mean, double sigma) {
    method init (line 106) | public void init() {
    method init (line 114) | public void init(double range) {
    method get (line 122) | public double get(int idx) {
    method getData (line 129) | public double[] getData() {
    method mean (line 136) | public double mean() {
    method sum (line 143) | public double sum(){
    method squaredSum (line 150) | public double squaredSum(){
    method set (line 161) | public void set(int idx, double val) {
    method setAll (line 168) | public void setAll(double val) {
    method add (line 176) | public void add(int idx, double val) {
    method minus (line 183) | public void minus(int idx, double val) {
    method add (line 190) | public DenseVector add(double val) {
    method minus (line 202) | public DenseVector minus(double val) {
    method scale (line 215) | public DenseVector scale(double val) {
    method selfScale (line 224) | public void selfScale(double val) {
    method add (line 234) | public DenseVector add(DenseVector vec) {
    method selfAdd (line 247) | public void selfAdd(DenseVector vec) {
    method minus (line 259) | public DenseVector minus(DenseVector vec) {
    method inner (line 274) | public double inner(DenseVector vec) {
    method outer (line 289) | public DenseMatrix outer(DenseVector vec) {
    method toString (line 299) | @Override

FILE: src/data_structure/Pair.java
  class Pair (line 5) | public class Pair<F, S> {
    method Pair (line 9) | public Pair(F first, S second) {
    method equals (line 14) | @Override
    method hashCode (line 23) | @Override
    method create (line 29) | public static <A, B> Pair <A, B> create(A a, B b) {

FILE: src/data_structure/Rating.java
  class Rating (line 3) | public class Rating {
    method Rating (line 9) | public Rating(int userId, int itemId, float score, long timestamp) {
    method Rating (line 16) | public Rating(String line) {
    method toString (line 24) | public String toString() {

FILE: src/data_structure/SparseMatrix.java
  class SparseMatrix (line 14) | public class SparseMatrix implements Serializable{
    method SparseMatrix (line 35) | public SparseMatrix(int m, int n) {
    method SparseMatrix (line 54) | public SparseMatrix(SparseMatrix sm) {
    method getValue (line 78) | public double getValue(int i, int j) {
    method setValue (line 89) | public void setValue(int i, int j, double value) {
    method setRowVector (line 105) | public void setRowVector(int i, SparseVector newVector) {
    method setRowVectorNonnegative (line 131) | public void setRowVectorNonnegative(int i, SparseVector newVector) {
    method setColVector (line 154) | public void setColVector(int j, SparseVector newVector) {
    method setSize (line 179) | public void setSize(int m, int n) {
    method getRowRef (line 191) | public SparseVector getRowRef(int index) {
    method getRow (line 202) | public SparseVector getRow(int index) {
    method getColRef (line 215) | public SparseVector getColRef(int index) {
    method getCol (line 226) | public SparseVector getCol(int index) {
    method getRowAverage (line 238) | public SparseVector getRowAverage(double defalut_value) {
    method getColumnAverage (line 257) | public SparseVector getColumnAverage(double defalut_value) {
    method length (line 279) | public int[] length() {
    method size (line 291) | public int size() {
    method itemCount (line 300) | public int itemCount() {
    method nonZeroCount (line 322) | public int nonZeroCount() {
    method diagonal (line 343) | public SparseVector diagonal() {
    method max (line 361) | public double max() {
    method min (line 382) | public double min() {
    method sum (line 403) | public double sum() {
    method squareSum (line 419) | public double squareSum() {
    method average (line 434) | public double average() {
    method variance (line 443) | public double variance() {
    method stdev (line 462) | public double stdev() {
    method indexPairs (line 470) | public ArrayList<Pair<Integer, Integer>> indexPairs() {
    method scale (line 489) | public SparseMatrix scale(double alpha) {
    method selfScale (line 508) | public SparseMatrix selfScale(double alpha) {
    method add (line 523) | public SparseMatrix add(double alpha) {
    method selfAdd (line 540) | public void selfAdd(double alpha) {
    method exp (line 555) | public SparseMatrix exp(double alpha) {
    method transpose (line 574) | public SparseMatrix transpose() {
    method times (line 590) | public SparseVector times(SparseVector x) {
    method times (line 611) | public SparseMatrix times(SparseMatrix B) {
    method dotTimes (line 638) | public SparseMatrix dotTimes(SparseMatrix B) {
    method dotDivide (line 662) | public SparseMatrix dotDivide(SparseMatrix B) {
    method tfidf (line 684) | public SparseMatrix tfidf() {
    method idf (line 704) | public SparseMatrix idf() {
    method tf (line 724) | public SparseMatrix tf() {
    method log2 (line 739) | public SparseMatrix log2() {
    method log2 (line 750) | private double log2(double n) {
    method rowStochastic (line 760) | public SparseMatrix rowStochastic() {
    method rowL2Norm (line 778) | public SparseMatrix rowL2Norm() {
    method colStochastic (line 798) | public SparseMatrix colStochastic() {
    method selfTimes (line 817) | public void selfTimes(SparseMatrix B) {
    method plus (line 847) | public SparseMatrix plus(SparseMatrix B) {
    method minus (line 870) | public SparseMatrix minus(SparseMatrix B) {
    method makeIdentity (line 892) | public static SparseMatrix makeIdentity(int n) {
    method makeUniform (line 908) | public static SparseMatrix makeUniform(int M, int N) {
    method makeRandom (line 926) | public static SparseMatrix makeRandom(int M, int N, double sparseRate) {
    method inverse (line 949) | public SparseMatrix inverse() {
    method cholesky (line 1033) | public SparseMatrix cholesky() {
    method covariance (line 1069) | public SparseMatrix covariance() {
    method partScale (line 1099) | public SparseMatrix partScale(double alpha, int[] indexList) {
    method partPlus (line 1119) | public SparseMatrix partPlus(SparseMatrix B, int[] indexList) {
    method partMinus (line 1143) | public SparseMatrix partMinus(SparseMatrix B, int[] indexList) {
    method partTimes (line 1166) | public SparseVector partTimes(SparseVector x, int[] indexList) {
    method toString (line 1184) | @Override

FILE: src/data_structure/SparseVector.java
  class SparseVector (line 16) | public class SparseVector implements Serializable{
    method SparseVector (line 31) | public SparseVector() {
    method SparseVector (line 41) | public SparseVector(int n) {
    method SparseVector (line 51) | public SparseVector(SparseVector sv) {
    method setValue (line 69) | public void setValue(int i, double value) {
    method setVector (line 80) | public void setVector(SparseVector newVector) {
    method getValue (line 99) | public double getValue(int i) {
    method remove (line 111) | public void remove(int i) {
    method copy (line 121) | public SparseVector copy() {
    method indexList (line 135) | public ArrayList<Integer> indexList() {
    method indexSet (line 151) | public HashSet<Integer> indexSet() {
    method initialize (line 168) | public void initialize(double value) {
    method initialize (line 180) | public void initialize(int[] index, double value) {
    method length (line 194) | public int length() {
    method itemCount (line 203) | public int itemCount() {
    method nonZeroCount (line 212) | public int nonZeroCount() {
    method setLength (line 227) | public void setLength(int n) {
    method add (line 240) | public SparseVector add(double alpha) {
    method sub (line 257) | public SparseVector sub(double alpha) {
    method scale (line 274) | public SparseVector scale(double alpha) {
    method selfScale (line 292) | public SparseVector selfScale(double alpha) {
    method power (line 307) | public SparseVector power(double alpha) {
    method exp (line 324) | public SparseVector exp(double alpha) {
    method log2 (line 335) | public SparseVector log2() {
    method log2 (line 344) | private double log2(double n) {
    method makeUniform (line 352) | public static SparseVector makeUniform(int n) {
    method makeRandom (line 366) | public static SparseVector makeRandom(int m) {
    method cosineSimilarity (line 380) | public static double cosineSimilarity(SparseVector a, SparseVector b) {
    method norm (line 395) | public double norm() {
    method L1_norm (line 404) | public SparseVector L1_norm() {
    method sum (line 414) | public double sum() {
    method squareSum (line 430) | public double squareSum() {
    method max (line 439) | public double max() {
    method min (line 457) | public double min() {
    method absoluteSum (line 475) | public double absoluteSum() {
    method average (line 491) | public double average() {
    method variance (line 502) | public double variance() {
    method stdev (line 518) | public double stdev() {
    method plus (line 531) | public SparseVector plus(SparseVector b) {
    method selfPlus (line 550) | public SparseVector selfPlus(SparseVector b) {
    method minus (line 567) | public SparseVector minus(SparseVector b) {
    method selfMinus (line 586) | public SparseVector selfMinus(SparseVector b) {
    method commonMinus (line 604) | public SparseVector commonMinus(SparseVector b) {
    method innerProduct (line 630) | public double innerProduct(SparseVector b) {
    method outerProduct (line 658) | public SparseMatrix outerProduct(SparseVector b) {
    method dotProduct (line 675) | public SparseVector dotProduct(SparseVector b) {
    method partPlus (line 697) | public SparseVector partPlus(SparseVector b, int[] indexList) {
    method partMinus (line 717) | public SparseVector partMinus(SparseVector b, int[] indexList) {
    method partInnerProduct (line 737) | public double partInnerProduct(SparseVector b, int[] indexList) {
    method partOuterProduct (line 756) | public SparseMatrix partOuterProduct(SparseVector b, int[] indexList) {
    method topIndicesByValue (line 777) | public ArrayList<Integer> topIndicesByValue(int topK, ArrayList<Intege...
    method toString (line 790) | @Override
    method KeysToString (line 800) | public String KeysToString() {

FILE: src/main/main.java
  class main (line 40) | public abstract class main {
    method ReadRatings_GlobalSplit (line 54) | public static void ReadRatings_GlobalSplit(String ratingFile, double t...
    method ReadRatings_HoldOneOut (line 129) | public static void ReadRatings_HoldOneOut(String ratingFile) throws IO...
    method FilterRatingsWithThreshold (line 200) | public static void FilterRatingsWithThreshold(String ratingFile,
    method DatasetStatistics (line 267) | public static void DatasetStatistics(String ratingFile) throws IOExcep...
    method convertMLDatToRating (line 336) | public static void convertMLDatToRating(String ml_file) throws IOExcep...
    method convertVoteToRating (line 367) | public static void convertVoteToRating(String vote_file) throws IOExce...
    method deduplicate (line 399) | public static void deduplicate(String ratingFile) throws IOException {
    method main (line 442) | public static void main(String[] args) throws IOException {
    method evaluate_model (line 457) | public static double[] evaluate_model(TopKRecommender model, String na...
    method evaluate_model_online (line 473) | public static void evaluate_model_online(TopKRecommender model, String...
  class ModelThread (line 482) | class ModelThread extends Thread {
    method ModelThread (line 485) | public ModelThread(TopKRecommender model) {
    method run (line 489) | public void run() {

FILE: src/main/main_MF.java
  class main_MF (line 12) | public class main_MF extends main {
    method main (line 13) | public static void main(String argv[]) throws IOException {

FILE: src/main/main_bpr.java
  class main_bpr (line 13) | public class main_bpr extends main {
    method main (line 14) | public static void main(String argv[]) throws IOException {

FILE: src/main/main_online.java
  class main_online (line 13) | public class main_online extends main {
    method main (line 14) | public static void main(String argv[]) throws IOException {

FILE: src/utils/CommonUtils.java
  class CommonUtils (line 13) | public class CommonUtils {
    method SortMapByValue (line 19) | public static<K, V extends Comparable<? super V>> List<Map.Entry<K, V>...
    method TopKeysByValue (line 34) | public static<K, V extends Comparable<? super V>> ArrayList<K> TopKeys...
    method ArrayToArraylist (line 70) | public static ArrayList<Integer> ArrayToArraylist(int[] array) {
    method CountMatchesInString (line 87) | public static int CountMatchesInString(String str, String findStr) {
    method StringToGramSet (line 106) | public static ArrayList<String> StringToGramSet(String str, int k) {
    method ShuffleArray (line 123) | public static void ShuffleArray(int[] array)

FILE: src/utils/DatasetUtil.java
  class Vote (line 37) | class Vote {
    method Vote (line 45) | public Vote(String user, String item, double rating, int time, int wor...
    method sortByTime (line 59) | public static void sortByTime(ArrayList<Vote> votes) {
    method toString (line 68) | @Override
  class DatasetUtil (line 75) | public class DatasetUtil {
    method DatasetUtil (line 79) | public DatasetUtil() {
    method ConvertTxtToVotesFile (line 97) | public void ConvertTxtToVotesFile(String inputfileDir, String dataset)
    method ConvertJsonToVotesFile (line 161) | public void ConvertJsonToVotesFile(String inputfileDir, String dataset...
    method ConvertJsonToRawFile (line 215) | public void ConvertJsonToRawFile(String inputfileDir, String dataset) ...
    method ConvertVotesToRatingFile (line 250) | public void ConvertVotesToRatingFile(String inputfileDir, String datas...
    method ConvertVotesToRawFile (line 270) | public void ConvertVotesToRawFile(String inputfileDir, String dataset)...
    method ConvertTxtToRawFile (line 294) | public void ConvertTxtToRawFile(String inputfileDir, String dataset) t...
    method RemoveDuplicateInVotesFile (line 330) | public void RemoveDuplicateInVotesFile(String inputDir, String dataset...
    method SplitVotesFileRandomAllButK (line 371) | public void SplitVotesFileRandomAllButK(String inputfileDir, String da...
    method SplitVotesFileByTimeAllButK (line 450) | public void SplitVotesFileByTimeAllButK(String inputfileDir, String da...
    method SplitVotesFileByTimePerUser (line 527) | public void SplitVotesFileByTimePerUser(String inputfileDir, String da...
    method FilterVotesFileByUsers (line 624) | public void FilterVotesFileByUsers(String inputfileDir, String dataset...
    method FilterVotesFileByUsers (line 669) | public void FilterVotesFileByUsers(String inputfileDir, String dataset...
    method FilterVotesFileByItems (line 712) | public void FilterVotesFileByItems(String inputfileDir, String dataset...
    method checkOverlapUsers (line 755) | public void checkOverlapUsers(String dir, String dataset1, String data...
    method FilterVotesReviewsByWords (line 799) | public void FilterVotesReviewsByWords(String inputfileDir, String data...
    method writeMatrixToFile (line 840) | public static void writeMatrixToFile(SparseMatrix matrix, String filen...
    method loadFeaturesFromLexiconFile (line 869) | static public HashMap<String, HashSet<String>> loadFeaturesFromLexicon...
    method loadFeaturesFromFeatureFile (line 908) | static public HashSet<String> loadFeaturesFromFeatureFile(String featu...
    method loadPosFeaturesFromLexiconFile (line 929) | static public HashMap<String, HashSet<String>> loadPosFeaturesFromLexi...
    method filterFOpairs (line 978) | static public HashMap<String, ArrayList<String>> filterFOpairs(
    method buildWordsMatrix (line 1027) | public void buildWordsMatrix(String fileName, SparseMatrix itemWordsMa...
    method buildWordsDictionary (line 1061) | public void buildWordsDictionary(String fileName, HashMap<String, Inte...
    method buildAspectsMatrix_FO (line 1120) | static public void buildAspectsMatrix_FO(String votesFile, HashMap<Str...
    method findFeaturesFromReview (line 1152) | private static HashSet<String> findFeaturesFromReview(HashSet<String> ...
    method findOpinionsFromReview (line 1163) | private static HashSet<String> findOpinionsFromReview(HashSet<String> ...
    method statReviewsPerItem (line 1171) | protected void statReviewsPerItem(String inputfileDir, String dataset)...
    method statReviewsPerUser (line 1216) | protected void statReviewsPerUser(String inputfileDir, String dataset)...
    method mostFrequentEntries (line 1268) | private List<Map.Entry<String, Integer>> mostFrequentEntries(HashMap<S...
    method revertIDMap (line 1286) | static public HashMap<Integer, String> revertIDMap(HashMap<String, Int...
    method parseVotesLine (line 1299) | private static Vote parseVotesLine(String line) {
    method parseSentence (line 1321) | private static String[] parseSentence(String sentence) {
    method stringToSet (line 1335) | private static HashMap<String, Integer> stringToSet(String str) {
    method replaceFileWithKeyword (line 1348) | private static void replaceFileWithKeyword(String inputFile, String ol...
    method main (line 1369) | public static void main(String[] args) throws IOException, ParseExcept...

FILE: src/utils/Printer.java
  class Printer (line 12) | public class Printer {
    method printArray (line 18) | public static void printArray(double[] A) {
    method printArray (line 29) | public static void printArray(int[] A) {
    method printArray (line 40) | public static void printArray(double[][] A) {
    method printArray (line 52) | public static void printArray(double[][][] A) {
    method printTime (line 65) | public static String printTime(long msType) {

FILE: src/utils/SortMapExample.java
  class SortMapExample (line 11) | public class SortMapExample {
    method main (line 18) | public static void main(String[] args) {

FILE: src/utils/StopwordsFilter.java
  class StopwordsFilter (line 10) | public class StopwordsFilter {
    method init (line 15) | public static void init(String stopwordsFile) throws IOException {
    method isStopword (line 37) | public static boolean isStopword(String word) {
    method main (line 41) | public static void main(String[] args) throws IOException {

FILE: src/utils/TopKPriorityQueue.java
  class TopKPriorityQueue (line 20) | public class TopKPriorityQueue<K, V extends Comparable<? super V>> {
    method compare (line 25) | public int compare(Map.Entry<K, V> o1, Map.Entry<K, V> o2) {
    method TopKPriorityQueue (line 30) | public TopKPriorityQueue(int maxSize) {
    method add (line 38) | public void add(Map.Entry<K, V> e) {
    method toList (line 50) | public ArrayList<Map.Entry<K, V>> toList() {
    method sortedList (line 54) | public ArrayList<Map.Entry<K, V>> sortedList() {
    method maxPoolingIndices (line 60) | ArrayList<Integer> maxPoolingIndices(DenseVector vec, int maxPooling) {
    method main (line 72) | public static void main(String[] args) throws IOException {