Package org.encog.workbench.tabs

Source Code of org.encog.workbench.tabs.TrainingContTab

/*
* Encog(tm) Workbench v3.0
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.workbench.tabs;

import org.encog.neural.networks.training.propagation.TrainingContinuation;
import org.encog.util.HTMLReport;
import org.encog.workbench.frames.document.tree.ProjectEGFile;

public class TrainingContTab extends HTMLTab {

  public TrainingContTab(ProjectEGFile encogObject) {
    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();
    report.endHTML();
    this.display(report.toString());
   
  }
 
  @Override
  public String getName() {
    return "Unknown :" + this.getEncogObject().getName();
  }

}
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