public async Task <bool> RetreiveMetadataAsync()
{
Debug.WriteLine("Loading " + Title + "...");
try
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("range", "bytes=0-10");
var buffer = await client.GetBufferAsync(Uri);
int?headerLength = ID3.GetID3v2HeaderLength(buffer.ToArray());
if (!headerLength.HasValue)
{
return(false);
}
client.DefaultRequestHeaders["range"] = "bytes=0-" + headerLength.Value;
buffer = await client.GetBufferAsync(Uri);
ID3.ExtractTagsFromBuffer(buffer, this);
return(true);
}
catch (Exception ex)
{
Debug.WriteLine(ex.ToString());
var dialog = new MessageDialog(Title + Environment.NewLine + ex.Message, "Erreur lors de l'extraction des métadonnées");
await dialog.ShowAsync();
}
return(false);
}
public Song(string file)
{
if (StringNetworkTools.IsURL(file))
{
//Setup MP3 IDv1 TAG Reader
//First we get our MP3TAG from remote file
byte[] id3data = WebRequester.Request(file, null, null, 128);
this._ID3 = new ID3(id3data);
if (_ID3.hasTag)
{
this.mp3tag = _ID3;
this.Name = $"{mp3tag.Artist} - {mp3tag.Title}";
}
else
{
string href = StringNetworkTools.FileFromURL(file);
this.Name = href.Split('.')[0];
}
this.URL = file;
}
else
{
this.Name = file.Split('.')[0];
this.URL = file;
this.mp3tag = null;
}
}
public static void Main(string[] args)
{
//Log.GainOn = true;
//Log.InfoOn = true;
//Log.NodeOn = true;
Log.StatsOn = true;
//Log.VerboseOn = true;
double confidenceLevel = 0.95;
string trainingSetPath = @"C:\coding\ml\test\training_subsetD.arff";
string testingSetPath = @"C:\coding\ml\test\testingD.arff";
if (args.Length >= 3)
{
confidenceLevel = Convert.ToDouble(args[0]);
trainingSetPath = args[1];
testingSetPath = args[2];
}
Console.WriteLine("confidenceLevel is {0}", confidenceLevel);
Console.WriteLine("trainingSetPath is {0}", trainingSetPath);
Console.WriteLine("testingSetPath is {0}", testingSetPath);
ID3 id3 = new ID3();
ID3Node root = id3.Train(trainingSetPath, confidenceLevel);
id3.Test(testingSetPath, root);
}
private static void Tennis(double confidenceLevel)
{
ID3 id3 = new ID3();
ID3Node root = id3.Train(@"C:\coding\ml\test\tennis.arff", confidenceLevel);
id3.Test(@"C:\coding\ml\test\tennis.arff", root);
}
private static void Full(double confidenceLevel)
{
ID3 id3 = new ID3();
ID3Node root = id3.Train(@"C:\coding\ml\test\training_subsetD.arff", confidenceLevel);
id3.Test(@"C:\coding\ml\test\testingD.arff", root);
}
public void Train(Instances instances, int numberOfModels, int?randomSeed = null, int maxDepth = 0)
{
// First train and test without bagging
this.NonBaggingModel = new ID3();
this.NonBaggingModel.Train(instances, Bagging.ConfidenceLevel, maxDepth);
this.Models = new List <ID3>();
// Do sampling with replacement and then train the model
Random random = randomSeed == null ? new Random() : new Random((int)randomSeed);
for (int i = 0; i < numberOfModels; i++)
{
Instances newInstances = new Instances(instances, 0);
for (int j = 0; j < instances.numInstances(); j++)
{
int randomSample = random.Next(0, instances.numInstances() - 1);
newInstances.add(instances.instance(randomSample));
}
ID3 model = new ID3();
model.Train(newInstances, Bagging.ConfidenceLevel, maxDepth);
this.Models.Add(model);
}
}
private async void RetreiveMetadataALTERNATIVE()
{
try
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("range", "bytes=0-10");
var buffer = await client.GetBufferAsync(Uri);
int?headerLength = ID3.GetID3v2HeaderLength(buffer.ToArray());
if (!headerLength.HasValue)
{
return;
}
Debug.WriteLine("Header length = " + headerLength.Value);
client.DefaultRequestHeaders["range"] = "bytes=0-" + headerLength.Value;
buffer = await client.GetBufferAsync(Uri);
using (var stream = new MemoryStream(buffer.ToArray()))
{
var bytes = buffer.ToArray();
var tagFile = TagLib.File.Create(new StreamFileAbstraction(name, stream, stream));
var id3 = tagFile.GetTag(TagTypes.Id3v2);
Title = id3.Title;
if (id3.FirstPerformer != null)
{
Artist = id3.FirstPerformer;
}
if (id3.Album != null)
{
Album = id3.Album;
}
Cover = await id3.Pictures[0].Data.Data.ToBitmapImage();
// Save cover
//StorageFolder storageFolder = ApplicationData.Current.LocalFolder;
//StorageFile storageFile = await storageFolder.CreateFileAsync("test_cover.jpg", CreationCollisionOption.ReplaceExisting);
//await FileIO.WriteBytesAsync(storageFile, id3.Pictures[0].Data.Data);
//var coverUri = new Uri(storageFile.Path);
//Debug.WriteLine(coverUri);
int bitrate = tagFile.Properties.AudioBitrate * 125;
Duration = TimeSpan.FromSeconds(size / bitrate);
}
MetadataRetreived?.Invoke();
}
catch (Exception e)
{
Debug.WriteLine(e.Message);
var dialog = new MessageDialog(Title + Environment.NewLine + e.Message, "Erreur lors de l'extraction des métadonnées");
await dialog.ShowAsync();
}
}
static void Main(string[] args)
{
byte[] test = WebRequester.Request("http://tv2.partizan.si/YoutubeVideoPlayer/api/audio/song2.mp3", null, null, 128);
ID3 tag = new ID3(test);
Console.WriteLine("Tag is available: " + tag.hasTag);
Console.WriteLine("Artist: " + tag.Artist);
Console.WriteLine("Title: " + tag.Title);
Console.ReadLine();
}
public static void RunID3()
{
List <DDataRecord> X = LoadSample();
//As ID3 does not support continuous value, must do manually conversion
foreach (DDataRecord rec in X)
{
int temperature = int.Parse(rec["temperature"]);
int humidity = int.Parse(rec["humidity"]);
if (temperature < 75)
{
rec["temperature"] = "< 75";
}
else
{
rec["temperature"] = ">= 75";
}
if (humidity < 80)
{
rec["humidity"] = "< 80";
}
else
{
rec["humidity"] = ">= 80";
}
}
ID3 <DDataRecord> algorithm = new ID3 <DDataRecord>();
algorithm.Train(X);
//algorithm.ErrorReducePrune(Xval); //error reduce prune using cross valiation set
Console.WriteLine("ID3 Tree Built!");
for (int i = 0; i < X.Count; i++)
{
DDataRecord rec = X[i];
Console.WriteLine("rec: ");
string[] feature_names = rec.FindFeatures();
foreach (string feature_name in feature_names)
{
Console.WriteLine(feature_name + " = " + rec[feature_name]);
}
Console.WriteLine("Label: " + rec.Label);
Console.WriteLine("Predicted Label: " + algorithm.Predict(X[i]));
Console.WriteLine();
}
algorithm.WriteToXml("ID3.xml");
}
private void butTree_Click(object sender, EventArgs e)
{
id3 = new ID3(PATH);
id3.Show();
}
static void Main(string[] args)
{
Console.WriteLine("Start.... " + DateTime.Now);
FileStream fs = new FileStream("train.txt", FileMode.Open);
StreamReader rd = new StreamReader(fs, Encoding.UTF8);
string line;
string class1 = "Yes";
string class2 = "No";
List <string> attribute = new List <string>();
line = rd.ReadLine();
attribute = line.Split(',').ToList();
List <int> remainingAttribute = new List <int>();
for (int i = 0; i < attribute.Count; i++)
{
remainingAttribute.Add(i);
}
List <value> listData = new List <value>();
int c1 = 0;
int c2 = 0;
while ((line = rd.ReadLine()) != null)
{
List <string> item = new List <string>();
item = line.Split(',').ToList();
if (item[item.Count - 1] == class1)
{
c1++;
}
else
{
c2++;
}
value value = new value();
value.values = item;
listData.Add(value);
}
//foreach (var i in listData)
//{
// Console.WriteLine(i.toString());
//}
//Console.WriteLine("C1=" + c1 + " C2=" + c2);
//entropy entropy = new entropy();
//Node node= entropy.tinhEntropy(c1, c2, remainingAttribute, listData, class1, class2);
//List<int> newremain = remainingAttribute.FindAll(x => x != node.attr).ToList();
//foreach (var i in newremain) Console.WriteLine(i);
//foreach(var i in node.children)
//{
// Console.WriteLine(i.value + " c1 " +i.nClass1 + " c2 " + i.nClass2);
// if(i.isLeaf)
// {
// }
// else
// {
// Node nodec = entropy.tinhEntropy(i.nClass1, i.nClass2, newremain, i.data, class1, class2);
// }
//}
rd.Close();
DateTime trainStart = DateTime.Now;
Console.WriteLine("Training...." + trainStart);
ID3 iD = new ID3(attribute, remainingAttribute, listData, class1, class2, c1, c2);
iD.start();
DateTime trainEnd = DateTime.Now;
Console.WriteLine("End training...." + trainEnd);
Console.WriteLine("time training...." + (trainEnd - trainStart).ToString() + " Tong du lieu traning: " + listData.Count);
Console.WriteLine("Print...." + DateTime.Now);
Node no = new Node();
//Console.WriteLine(no.isLeaf);
iD.printTree();
//value value2 = new value();
//List<string> newlist = new List<string>();
//newlist.Add("black");
//newlist.Add("number");
//newlist.Add("yamaha");
//newlist.Add("blade");
//newlist.Add("conanhoa");
//value2.values = newlist;
//string s=iD.Ktra(value2);
//string d=value2.toString();
//Console.WriteLine( d);
//Console.WriteLine("kq " + s);
FileStream fstest = new FileStream("test.txt", FileMode.Open);
StreamReader rdtest = new StreamReader(fstest, Encoding.UTF8);
List <value> listDataTest = new List <value>();
while ((line = rdtest.ReadLine()) != null)
{
List <string> item = new List <string>();
item = line.Split(',').ToList();
value value = new value();
value.values = item;
listDataTest.Add(value);
}
foreach (var i in listDataTest)
{
Console.WriteLine(i.toString() + " --> " + iD.Ktra(i));
}
rdtest.Close();
Console.ReadLine();
}
static void MenuSelection(string selection)
{
switch (selection)
{
case "1":
{
var problem = new ID1();
problem.Start();
break;
}
case "2":
{
var problem = new ID2();
problem.Start();
break;
}
case "3":
{
var problem = new ID3();
problem.Start();
break;
}
case "4":
{
var problem = new ID4();
problem.Start();
break;
}
case "5":
{
var problem = new ID5();
problem.Start();
break;
}
case "6":
{
var problem = new ID6();
problem.Start();
break;
}
case "7":
{
var problem = new ID7();
problem.Start();
break;
}
case "8":
{
var problem = new ID8();
problem.Start();
break;
}
case "9":
{
var problem = new ID9();
problem.Start();
break;
}
case "10":
{
var problem = new ID10();
problem.Start();
break;
}
case "11":
{
var problem = new ID11();
problem.Start();
break;
}
case "12":
{
var problem = new ID12();
problem.Start();
break;
}
case "13":
{
var problem = new ID13();
problem.Start();
break;
}
case "14":
{
var problem = new ID14();
problem.Start();
break;
}
case "266":
{
var problem = new ID266();
problem.Start();
break;
}
default:
break;
}
}
