@Override
public void init(String prefix) {
// initialize global arm model
GlobalArmModel.initialize(prefix);
// initialize static fields
K = (double) GlobalArmModel.numberOfArms();
d = GlobalArmModel.getDValue();
// initialize counters
n = new double[GlobalArmModel.numberOfArms()];
Arrays.fill(n, 0.0);
sumN = 0.0;
// model
s = Arrays.copyOf(n, n.length);
w = Arrays.copyOf(n, n.length);
r = Arrays.copyOf(n, n.length);
q = Arrays.copyOf(n, n.length);
f = Arrays.copyOf(n, n.length);
g = Arrays.copyOf(n, n.length);
// parameter
c = Configuration.getDouble(prefix + ".p2greedy.C");
}
ProtocolData(String prefix) {
pid = CommonState.getPid();
lid = Configuration.getPid(prefix + "." + PAR_LINKABLE);
tid = Configuration.getPid(prefix + "." + PAR_TRANSPORT);
period = Configuration.getInt(prefix + "." + PAR_PERIOD);
prob = Configuration.getDouble(prefix + "." + PAR_PROB);
}
/**
* Loads configuration. It verifies the constraints defined in {@link WireByMethod}.
*
* @param prefix the configuration prefix for this class
*/
public WireByMethod(String prefix) {
super(prefix);
// get the method
try {
final Class wire =
Configuration.getClass(
prefix + "." + PAR_CLASS, Class.forName("peersim.graph.GraphFactory"));
method =
WireByMethod.getMethod(wire, Configuration.getString(prefix + "." + PAR_METHOD, "wire"));
} catch (Exception e) {
throw new RuntimeException(e);
}
// set the constant args (those other than 0th)
Class[] argt = method.getParameterTypes();
args = new Object[argt.length];
for (int i = 1; i < args.length; ++i) {
if (argt[i] == int.class) args[i] = Configuration.getInt(prefix + "." + PAR_ARG + i);
else if (argt[i] == long.class) args[i] = Configuration.getLong(prefix + "." + PAR_ARG + i);
else if (argt[i] == double.class)
args[i] = Configuration.getDouble(prefix + "." + PAR_ARG + i);
else if (i == args.length - 1 && argt[i].isInstance(CommonState.r)) args[i] = CommonState.r;
else {
// we should neve get here
throw new RuntimeException(
"Unexpected error, please " + "report this problem to the peersim team");
}
}
}
public RenaterInitializer(String prefix) {
pid = Configuration.getPid(prefix + "." + PAR_PROT);
phid = FastConfig.getLinkable(pid);
cpid = Configuration.getPid(prefix + "." + PAR_CHORD_PROT);
nrDC = Configuration.getInt("NR_DC", 1);
nrNodePerDC = Configuration.getInt("NR_NODE_PER_DC", 1);
dc_file = (Configuration.getString(prefix + "." + PAR_DC_FILE, "nofilewiththisname"));
distance = (Configuration.getDouble(prefix + "." + PAR_DC_DISTANCE, 0.01));
}
/**
* Standard constructor that reads the configuration parameters. Invoked by the simulation engine.
*
* @param prefix the configuration prefix for this class
*/
public DynamicNetwork(String prefix) {
add = Configuration.getDouble(prefix + "." + PAR_ADD);
substitute = Configuration.contains(prefix + "." + PAR_SUBST);
Object[] tmp = Configuration.getInstanceArray(prefix + "." + PAR_INIT);
inits = new NodeInitializer[tmp.length];
for (int i = 0; i < tmp.length; ++i) {
// System.out.println("Inits " + tmp[i]);
inits[i] = (NodeInitializer) tmp[i];
}
maxsize = Configuration.getInt(prefix + "." + PAR_MAX, Integer.MAX_VALUE);
minsize = Configuration.getInt(prefix + "." + PAR_MIN, 0);
}
@Override
public boolean execute() {
double alpha = Configuration.getDouble("ALPHA", -2.0);
System.out.println("ALPHA set to " + alpha);
System.out.println("\nSetting up renater nodes, positioning and gateways ");
// initialize the gson parser
List<String> lines = null;
if (Files.exists(Paths.get(dc_file))) {
lines = getDcCordsFromFile();
if (lines != null) nrDC = lines.size();
}
KoalaJsonParser.intitialize();
NodeUtilities.initialize();
NodeUtilities.setNodePIDs(phid, pid, cpid);
NodeUtilities.intializeDCCenters(lines);
// if(Network.size() < nrDC)
// nrDC = Network.size();
NodeUtilities.ACTUAL_NR_DC = Network.size();
// assigning nodes an id and setting their coordinates according to their data-center
initializationMode = true;
for (int i = 0; i < Network.size(); i++) {
initialize(Network.get(i));
}
initializationMode = false;
// System.setErr(new PrintStream(new OutputStream() {
// public void write(int b) {
// //DO NOTHING
// }
// }));
return false;
}
public static void main(String[] args) throws Exception {
String configName = args[0];
Configuration.setConfig(new ParsedProperties(configName));
// System.err.println("#Reading datasets from files");
File tFile = new File(Configuration.getString("trainingFile"));
File eFile = new File(Configuration.getString("evaluationFile"));
String dbReaderName = "gossipLearning.RecSysDataBaseReader";
seed = Configuration.getInt("SEED");
numOfClusters = Configuration.getInt("numOfClusters");
divErr = Configuration.getDouble("divErr");
numberOfRatings = Configuration.getDouble("numOfRatings");
numberOfAllUsers = Configuration.getDouble("numOfAllUsers");
classifierName = Configuration.getString("classifier", null);
prefix = "model";
modelName = Configuration.getString(prefix, null);
boolean isNormalize = Configuration.getBoolean("normalize");
int polyDegree = Configuration.getInt("polyDegree");
DataBaseReader dbReader = DataBaseReader.createDataBaseReader(dbReaderName, tFile, eFile);
// System.err.println("#Preprocessing datasets");
// pre-processing database
getNumberOfUsers = new double[dbReader.getTrainingSet().getNumberOfFeatures()];
getAverageRating = new double[dbReader.getTrainingSet().getNumberOfFeatures()];
getNumberOfLikeableUsers = new double[dbReader.getTrainingSet().getNumberOfFeatures()];
for (int i = 0; i < dbReader.getTrainingSet().size(); i++) {
for (VectorEntry e : dbReader.getTrainingSet().getInstance(i)) {
getNumberOfUsers[e.index]++;
getAverageRating[e.index] += e.value;
}
}
for (int i = 0; i < dbReader.getTrainingSet().getNumberOfFeatures(); i++) {
getAverageRating[i] =
getNumberOfUsers[i] == 0.0 ? 0.0 : getAverageRating[i] / getNumberOfUsers[i];
}
for (int i = 0; i < dbReader.getTrainingSet().size(); i++) {
for (VectorEntry e : dbReader.getTrainingSet().getInstance(i)) {
if (e.value > getAverageRating[e.index]) {
getNumberOfLikeableUsers[e.index]++;
}
}
}
// System.err.println("#Extracting features");
// feature extraction
InstanceHolder trainingSet = new InstanceHolder((int) numberOfRatings, 11);
for (int userID = 0; userID < dbReader.getTrainingSet().size(); userID++) {
for (VectorEntry e : dbReader.getTrainingSet().getInstance(userID)) {
int itemID = e.index;
double label = e.value;
double[] features = new double[11];
computeUserSpecificFeatureVectorPart(
dbReader.getTrainingSet().getInstance(userID), features);
computeItemSpecificFinalFeatureVector(itemID, features);
SparseVector instance = new SparseVector(features);
trainingSet.add(instance, label);
}
}
InstanceHolder testSet = new InstanceHolder((int) numberOfRatings, 11);
for (int userID = 0; userID < dbReader.getEvalSet().size(); userID++) {
for (VectorEntry e : dbReader.getEvalSet().getInstance(userID)) {
int itemID = e.index;
double label = e.value;
double[] features = new double[11];
computeUserSpecificFeatureVectorPart(
dbReader.getTrainingSet().getInstance(userID), features);
computeItemSpecificFinalFeatureVector(itemID, features);
SparseVector instance = new SparseVector(features);
testSet.add(instance, label);
}
}
File tout = new File("tr.dat");
File eout = new File("ev.dat");
trainingSet.writeToFile(tout);
testSet.writeToFile(eout);
DataBaseReader dbr =
DataBaseReader.createDataBaseReader("gossipLearning.DataBaseReader", tout, eout);
if (polyDegree > 1) {
// dbr.polynomize(polyDegree);
// dbr.writeToFile(new File("bookcrossing_fn_" + polyDegree + ".train"), new
// File("bookcrossing_fn_" + polyDegree + ".test"));
// System.exit(0);
}
if (isNormalize) {
dbr.standardize();
}
if (classifierName != null) {
weka(dbr.getTrainingSet(), dbr.getEvalSet());
// weka(trainingSet, testSet);
}
if (modelName != null) {
golf(dbr.getTrainingSet(), dbr.getEvalSet());
// golf(trainingSet, testSet);
}
tout.deleteOnExit();
eout.deleteOnExit();
}