Package com.mockturtlesolutions.snifflib.stats

Examples of com.mockturtlesolutions.snifflib.stats.NormalDistribution

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//     }


    System.out.println("NICKNAME!!!!!!!!!!!!!!!!="+this.bufferData.getNickname());
   
    this.normal = new NormalDistribution();
    this.rhsSolution = null;
   
    this.repository = repos;
    this.connection = conn;
    this.dataSetStartRow = 0;
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    //a transient list of parameters.
    smpbframe.addBufferListener(this);
    smpbframe.addRepositoryListener(this);
   
   
    this.normal = new NormalDistribution();
   
    Class[] args = new Class[]{String.class};
    try
    {
      this.stringToDblMeth = DblMatrix.class.getMethod("convertStringToDbl",args);
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    //This should be it--nice and simple now that we are extending DistributedStatisticalModel...
    //We reflect any changes in the BufferStorage in our transientStorage that maintains
    //a transient list of parameters.
    smpbframe.addBufferListener(this);
   
    this.normal = new NormalDistribution();
   
    Class[] args = new Class[]{String.class};
    try
    {
      this.stringToDblMeth = DblMatrix.class.getMethod("convertStringToDbl",args);
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Related Classes of com.mockturtlesolutions.snifflib.stats.NormalDistribution

  • com.mockturtlesolutions.jpHtools.database.BayesianBufferPredictor
  • com.mockturtlesolutions.jpHtools.database.BayesianBufferPredictorNew
  • com.mockturtlesolutions.jpHtools.database.BayesianComplexBufferPredictorObjective
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