private void openFileButton_Click(object sender, EventArgs e) { DialogResult result = openFileDialog.ShowDialog(); if (result == DialogResult.OK) { if (openFileDialog.SafeFileName.EndsWith(".json")) { tweetsPath = openFileDialog.FileName; tweetDatas = JsonFileController.ReadDataFromJsonFile <TweetData[]>(tweetsPath); // RegisterUsers() should be called before ParseTweets() // because we check words array is null or not in RegisterUsers(). RegisterUsers(); ParseTweets(); // save parsed tweets to json file. JsonFileController.WriteToJsonFile(tweetsPath, tweetDatas); // Navigate to first tweet. NavigateLabeledData_Click(null, new EventArgs()); FillTweetInfo(); } else { MessageBox.Show("Please choose a json file.", "Warning", MessageBoxButtons.OK, MessageBoxIcon.Error); } } }
private void combineButton_Click(object sender, EventArgs e) { DialogResult result = folderBD.ShowDialog(); if (result == DialogResult.OK) { JsonFileController.CombineAllJsonFiles(folderBD.SelectedPath); } }
private void btnLoadAnn_Click(object sender, EventArgs e) { trainer = JsonFileController.ReadDataFromJsonFile <Trainer>(Path.Combine(nnParentPath, TrainDataFile)); ShowNeuralNetworkInfo(trainer.Neuralnetwork); trackbarschanged = false; btnNNTraining.Enabled = btnNNTesting.Enabled = btnTest.Enabled = btnCMatrix.Enabled = true; toggle1.Value = trainer.trainingType == TrainingType.WORD_TRAINING ? true : false; trainedType = trainer.trainingType; lblsystemType.Text = trainingType.ToString(); }
private void Form1_FormClosing(object sender, FormClosingEventArgs e) { if (fileChanged) { DialogResult dialogResult = MessageBox.Show("Would you like to save changed datas to file?", "Data Changed", MessageBoxButtons.YesNoCancel, MessageBoxIcon.Question); switch (dialogResult) { case DialogResult.None: break; case DialogResult.OK: break; case DialogResult.Cancel: e.Cancel = true; break; case DialogResult.Abort: break; case DialogResult.Retry: break; case DialogResult.Ignore: break; case DialogResult.Yes: JsonFileController.WriteToJsonFile(tweetsPath, tweetDatas); break; case DialogResult.No: break; default: break; } } Application.Exit(); }
private void TrainTest(TrainingType type) { if (string.IsNullOrEmpty(filePath)) { MessageBox.Show("you have to choose a file to train...."); return; } btnTest.Enabled = true; progressBar.Value = 0; TweetData[] twData = JsonFileController.ReadDataFromJsonFile <TweetData[]>(filePath); ParseTweets(ref twData, type); Analyser analyser = new Analyser(twData, labels, tbTestCount.Value, chckPickRandomly.Checked); if (type == TrainingType.WORD_TRAINING) { analyser.Analyse1(); } else { analyser.Analyse2(); } progressBar.Maximum = twData.Length; trainer = new Trainer(analyser, tbHiddenNeuronCount.Value, double.Parse(lblLearningRate.Text), type); List <List <Tuple <int, double> > > list; if (type == TrainingType.WORD_TRAINING) { trainer.Train1(progressBar); list = trainer.Test1(progressBar); } else { trainer.Train2(progressBar); list = trainer.Test2(progressBar); } Test(type, analyser); //richtxtAnnResult.Text = ""; //for (int i = 0; i < analyser.TestingTweets.Length; i++) //{ // richtxtAnnResult.AppendText("TWEET:\n\n"); // richtxtAnnResult.AppendText(analyser.TestingTweets[i].tweet + "\n\n"); // richtxtAnnResult.AppendText("PREDICTION:\n\n"); // for (int j = 0; j < list[i].Count; j++) // { // string val = labels[list[i][j].Item1]; // double percentage = list[i][j].Item2 * 100; // richtxtAnnResult.AppendText(val + ":\t" + percentage.ToString("F2") + "%\n"); // } // richtxtAnnResult.AppendText("\nANSWER: " + analyser.TestingTweets[i].users[0].labels[0]); // richtxtAnnResult.AppendText("\n\n"); // richtxtAnnResult.AppendText("#################################################################\n\n"); //} ShowAnalyserInfo(trainer); }
private void btnSaveANN_Click(object sender, EventArgs e) { trainer.trainingType = trainedType; JsonFileController.WriteToJsonFile(Path.Combine(nnParentPath, TrainDataFile), trainer); }
private void WriteToFile_Click(object sender, EventArgs e) { JsonFileController.WriteToJsonFile(tweetsPath, tweetDatas); fileChanged = false; }