Package org.encog.workbench.dialogs.common

Examples of org.encog.workbench.dialogs.common.TextField

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  public LoginCloudDialog(Frame owner) {
    super(owner);
    setTitle("Login to Encog Cloud");
    setSize(400,200);
    addProperty(this.network = new TextField("network","Network",true));
    addProperty(this.userID = new TextField("user id","User ID",true));
    addProperty(this.password = new PasswordField("password","Password",true));
    render();
  }
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    GregorianCalendar gc = new GregorianCalendar();
    int year = gc.get(Calendar.YEAR);
   
    setTitle("Market Training Data");
    setSize(500,400);
    addProperty(this.ticker = new TextField("ticker","Ticker Symbol",true));
    addProperty(this.fromMonth = new IntegerField("begin month","Beginning Month(1-12)",true, 1, 12));
    addProperty(this.fromDay = new IntegerField("begin day","Beginning Day(1-12)",true, 1, 31));
    addProperty(this.fromYear = new IntegerField("begin year","Beginning Year(1-12)",true, 1900, year));
   
    addProperty(this.toMonth = new IntegerField("end month","Ending Month(1-12)",true, 1, 12));
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    beginTab("General");
    addProperty(this.rawFile = new FileField("source file","Source CSV File(*.csv)",true,false,EncogDocumentFrame.CSV_FILTER));
    addProperty(this.format = new ComboBoxField("format", "File Format", true, csvFormat));
    addProperty(this.method = new ComboBoxField("method", "Machine Learning", true, methods));
    addProperty(this.goal = new ComboBoxField("goal", "Goal", true, goalList));
    addProperty(this.targetField = new TextField("target field", "Target Field(blank for auto)", false));
    addProperty(this.headers = new CheckField("headers","CSV File Headers"));
    addProperty(this.range = new ComboBoxField("normalization range", "Normalization Range", true, rangeList));
    addProperty(this.missing = new ComboBoxField("missing values", "Missing Values", true, missingList));
    beginTab("Time Series");
    addProperty(this.lagCount = new IntegerField("lag count","Lag Count",true,0,1000));
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    this.setSize(640, 200);
    this.setTitle("Create New Encog Project");

    addProperty(this.parentDirectory = new FolderField("folder",
        "Parent Folder", true));
    addProperty(this.projectFilename = new TextField("name",
        "Project Name", true));
    addProperty(new InformationField(
        4,
        "Encog projects are typically placed in a project folder.  Choose the parent folder, and a name for your project.  A subfolder with the same name as your project will be created.  Your Encog project file will be placed in this folder, along with any training sets you create."));
    render();
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    setTitle("Extract Top Genomes");
    setSize(400,200);
    setLocation(200,200);
   
    addProperty(this.genomesToExtract = new IntegerField("genomes to extract", "Genomes to Extract", true, 0 , populationSize));
    addProperty(this.prefix = new TextField("prefix","Neural Network Prefix",true));
   
    render();
    this.prefix.setValue("network-");
    this.genomesToExtract.setValue(1);
  }
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  private final TextField description;

  public EditEncogObjectProperties(final Frame owner) {
    super(owner);

    addProperty(this.name = new TextField("name","Name",true));
    addProperty(this.description = new TextField("description","Description",false));
   
    setTitle("Encog Object Properties");
    setModal(true);
    setResizable(false);
    this.setSize(640,100);
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Related Classes of org.encog.workbench.dialogs.common.TextField

  • org.encog.workbench.dialogs.cloud.LoginCloudDialog
  • org.encog.workbench.dialogs.EditEncogObjectProperties
  • org.encog.workbench.dialogs.newdoc.CreateNewDocument
  • org.encog.workbench.dialogs.population.ExtractGenomes
  • org.encog.workbench.dialogs.trainingdata.CreateMarketTrainingDialog
  • org.encog.workbench.dialogs.wizard.analyst.AnalystWizardDialog
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