Package com.mockturtlesolutions.snifflib.invprobs

Examples of com.mockturtlesolutions.snifflib.invprobs.GaussianProposal

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    //this.setLayout(new BoxLayout(this,BoxLayout.X_AXIS));
    //System.out.println(this.parent);
    //System.out.println(this.storage);
   
    this.like = new BayesianComplexBufferPredictorObjective(this.storage,this.connection,this.repos);
    this.prop = new GaussianProposal(like);
   
   
    this.prefs = new pHtoolsPrefs();
    prefs.initialize();
   
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  public void configureMixingParameters()
  {
    //System.out.println("INSIDE configureMixingParameters!!!!!!!!!!!!!!!!!!");
   
    this.prop = new GaussianProposal(like);
                                       
    //Set all variance components to be log normal in the proposal distribution.
    Set params = like.getDeclaredParameters();
    Iterator iter = params.iterator();
    while (iter.hasNext())
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    this.setLayout(new BoxLayout(this,BoxLayout.X_AXIS));
    //System.out.println(this.parent);
    //System.out.println(this.storage);
   
    this.like = new BayesianBufferPredictorNew(this.storage,this.parent.getConnection(),this.parent.getRepository());
    this.prop = new GaussianProposal(like);
   
   
    this.prefs = new pHtoolsPrefs();
    prefs.initialize();
    ///CONTROL BOX////
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    return(outSet);
  }
 
  public void configureMixingParameters()
  {
    this.prop = new GaussianProposal(like);
                                       
    //Set all variance components to be log normal in the proposal distribution.
    Set params = like.getDeclaredParameters();
    Iterator iter = params.iterator();
    while (iter.hasNext())
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Related Classes of com.mockturtlesolutions.snifflib.invprobs.GaussianProposal

  • com.mockturtlesolutions.jpHtools.database.DefaultComplexBufferPredictorGenerator
  • com.mockturtlesolutions.jpHtools.database.DefaultPredictorPanel
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