private void btnLoad_Click(object sender, EventArgs e)
{
using (OpenFileDialog d = new OpenFileDialog())
{
d.Filter = "Arff File|*.arff";
if (d.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
var fileReader = new java.io.FileReader(d.FileName);
var instances = new weka.core.Instances(new java.io.BufferedReader(fileReader));
instances.setClassIndex(instances.numAttributes() - 1);
fileReader.close();
clear_all();
foreach (weka.core.Instance i in instances)
{
var p = new valuePoint(i.value(0), i.value(1), (int)i.classValue());
if (p.x < 0 || p.x >= 1 || p.y < 0 || p.y >= 1)
{
continue;
}
point_list.Add(p);
}
draw_all_points();
this.pictureBox1.Invalidate();
}
}
}
public static Instances LoadInstances(string fileName)
{
lock (m_lockObject)
{
if (!fileName.Contains("\\"))
{
fileName = string.Format("{0}\\{1}", TestParameters.BaseDir, fileName);
}
var fr = new java.io.FileReader(fileName);
var br = new java.io.BufferedReader(fr);
Instances instances = new Instances(br);
br.close();
fr.close();
instances.setClassIndex(instances.numAttributes() - 1);
return(instances);
}
}
/// <summary>
/// 日本語アナライザ初期化処理
/// </summary>
private static void InitializeAnalyzer()
{
string sqliteDataSource = Directory.GetParent(Application.ExecutablePath).FullName +
Properties.Settings.Default.SQLITE_DATA_SOURCE;
AppObject.ConnectString = AppObject.GetConnectString(sqliteDataSource);
//ユーザ辞書の設定
AppObject.RootDirPath = Directory.GetParent(Application.ExecutablePath).FullName;
AppObject.RootDirPath += LuceneIndexBuilder.StoreDirName;
//Analyzer
java.io.Reader treader = new java.io.FileReader(AppObject.RootDirPath + @".\..\UserDictionary.txt");
UserDictionary userDic = null;
try {
//ユーザ辞書
userDic = UserDictionary.Open(treader);
} finally {
treader.close();
}
AppObject.AppAnalyzer = new JapaneseAnalyzer(userDic, //ユーザ定義辞書
JapaneseTokenizerMode.SEARCH,
JapaneseAnalyzer.GetDefaultStopSet(),
JapaneseAnalyzer.GetDefaultStopTags());
//JapaneseTokenizerMode.EXTENDED;
// ->拡張モードは、未知の単語のユニグラムを出力します。
//JapaneseTokenizerMode.NORMAL;
// ->通常のセグメンテーション：化合物の分解なし
//JapaneseTokenizerMode.SEARCH;
// ->検索を対象としたセグメンテーション：
// これには、長い名詞の複合化プロセスが含まれ、同義語としての完全な複合トークンも含まれます。
//AppObject.AppAnalyzer = new JapaneseAnalyzer();
}
private void btnLoad_Click(object sender, EventArgs e)
{
using (OpenFileDialog d = new OpenFileDialog())
{
d.Filter = "Arff File|*.arff";
if (d.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
var fileReader = new java.io.FileReader(d.FileName);
var instances = new weka.core.Instances(new java.io.BufferedReader(fileReader));
instances.setClassIndex(instances.numAttributes() - 1);
fileReader.close();
clear_all();
foreach (weka.core.Instance i in instances)
{
var p = new valuePoint(i.value(0), i.value(1), (int)i.classValue());
if (p.x < 0 || p.x >= 1 || p.y < 0 || p.y >= 1)
continue;
point_list.Add(p);
}
draw_all_points();
this.pictureBox1.Invalidate();
}
}
}
public void classifyTest()
{
try
{
CSV2Arff();
java.io.FileReader arrfFile = new java.io.FileReader("D:/final_version/Gesture-Gis-master/GestureGis2/ComparisonFeaturefile.arff");
weka.core.Instances insts = new weka.core.Instances(arrfFile);
//weka.core.Instances insts2 = new weka.core.Instances(new java.io.FileReader("D:/Gesture-Gis-master/GestureGis2/ComparisonFeaturefile.arff"));
insts.setClassIndex(insts.numAttributes() - 1);
//int percentSplit = 66;
weka.classifiers.Classifier cl = new weka.classifiers.trees.J48();
//Console.WriteLine("Performing " + percentSplit + "% split evaluation.");
//randomize the order of the instances in the dataset.
//weka.filters.Filter myRandom = new weka.filters.unsupervised.instance.Randomize();
//myRandom.setInputFormat(insts);
//insts = weka.filters.Filter.useFilter(insts, myRandom);
int count = insts.numInstances();
int trainSize = count - 1;
int testSize = count - trainSize;
weka.core.Instances train = new weka.core.Instances(insts, 0, trainSize);
cl.buildClassifier(train);
//weka.core.Instance current = insts2.instance(0);
int numCorrect = 0;
/*for (int i = trainSize; i < insts.numInstances(); i++)
* {
* weka.core.Instance currentInst = insts.instance(i);
* double predictedClass = cl.classifyInstance(currentInst);
* if (predictedClass == insts.instance(i).classValue())
* numCorrect++;
* }*/
int index = count - 1;
weka.core.Instance currentInst = insts.instance(index);
double predictedClass = cl.classifyInstance(currentInst);
int pre = (int)predictedClass;
if (predictedClass == insts.instance(index).classValue())
{
numCorrect++;
}
//insts.instance(index).classAttribute();
//insts.attribute(11);
string s = insts.toString();
s = s.Substring(s.IndexOf("{") + 1);
s = s.Substring(0, s.IndexOf("}"));
s = s.Substring(0, s.Length);
string[] ae = s.Split(',');
/*ArrayList arr = new ArrayList();
* string path_class = @"D:\final_version\Gesture-Gis-master\GestureGis2\Classfile.txt";
* using (StreamReader reader = new StreamReader(path_class))
* {
* while (!reader.EndOfStream)
* {
* arr.Add(reader.ReadLine());
* }
* reader.Close();
* }*/
PredictedClassbyWeka = (string)(ae[pre]);
arrfFile.close();
//insts.instance(index).attribute(3);
/*System.Diagnostics.Debug.WriteLine(numCorrect + " out of " + testSize + " correct (" +
* (double)((double)numCorrect / (double)testSize * 100.0) + "%)");
* Console.WriteLine(numCorrect + " out of " + testSize + " correct (" +
* (double)((double)numCorrect / (double)testSize * 100.0) + "%)");*/
}
catch (java.lang.Exception ex)
{
ex.printStackTrace();
}
}
