Package org.encog.util

Examples of org.encog.util.HTMLReport.beginBody()

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    final HTMLReport report = new HTMLReport();

    analyzeFile();
    report.beginHTML();
    report.title("Encog Analyst Report");
    report.beginBody();
   
    report.h1("General Statistics");
    report.beginTable();
    report.tablePair("Total row count", Format.formatInteger(this.rowCount));
    report.tablePair("Missing row count", Format.formatInteger(this.missingCount));
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  public void init() {
    HTMLReport report = new HTMLReport();
    report.beginHTML();
    String title = "Unknown File Type";
    report.title(title);
    report.beginBody();
    report.h1(title);
    report.para("Unknown file type.  Do not know how to display.");
   
    report.beginTable();
    report.tablePair("File Size", Format.formatMemory(this.getEncogObject().getFile().length()));
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  public void generate() {
    HTMLReport report = new HTMLReport();
    report.beginHTML();
    String title = "Encog Workbench v" + EncogWorkBench.VERSION;
    report.title(title);
    report.beginBody();
    report.h1(title);
    report.para("Encog Workbench is released under the Apache License.  For more information see the license file released with the Encog Workbench.");
    report.h3(EncogWorkBench.COPYRIGHT);
   
    report.beginTable();
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  public void produceReport() {
    HTMLReport report = new HTMLReport();
    report.beginHTML();
    report.title("MLMethod");
    report.beginBody();
    report.h1(this.method.getClass().getSimpleName());

    report.beginTable();

    if (method instanceof MLInput) {
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    super(encogObject);
    HTMLReport report = new HTMLReport();
    report.beginHTML();
    String title = "Encog Training Continuation";
    report.title(title);
    report.beginBody();
    report.h1(title);
    report.para("This is an Encog training continuation object.  It allows training to begin exactly where it left off.  When a neural network, or other machine learning method, is trained certian data must be kept to track the training progress.  Think of this as the notes you take in a class.  Without this training data Encog will lose some ground when training is continued. This file will be used automatically if training can be continued. ");
    report.para("However, the neural network does not need this data to function.  Once training is done, this file can be deleted.");
    report.para("Data designed for: " + ((TrainingContinuation)encogObject.getObject()).getTrainingType() );
    report.endBody();
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    super(encogObject);
    HTMLReport report = new HTMLReport();
    report.beginHTML();
    String title = "Unknown Encog Object Type";
    report.title(title);
    report.beginBody();
    report.h1(title);
    report.para("Unknown Object: " + encogObject.getEncogType());
    report.endBody();
    report.endHTML();
    this.display(report.toString());
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    HTMLReport report = new HTMLReport();
    String title = "Support Vector Machine (SVM)";
    report.beginHTML();
    report.title(title);
    report.beginBody();
    report.h1(title);
    report.beginTable();
    SVM svm = (SVM)encogObject.getObject();
    report.tablePair("Input Count",""+svm.getInputCount());
    report.tablePair("SVM Type",svm.getSVMType().toString());
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    final HTMLReport report = new HTMLReport();

    analyzeFile();
    report.beginHTML();
    report.title("Encog Analyst Report");
    report.beginBody();
   
    report.h1("General Statistics");
    report.beginTable();
    report.tablePair("Total row count", Format.formatInteger(this.rowCount));
    report.tablePair("Missing row count", Format.formatInteger(this.missingCount));
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