TestDependencyCommand.h

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// -*- C++ -*-

// TestDependencyCommand.h
// 
// Copyright (C) 2003 Pascal Vincent
// 
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// 
//  1. Redistributions of source code must retain the above copyright
//     notice, this list of conditions and the following disclaimer.
// 
//  2. Redistributions in binary form must reproduce the above copyright
//     notice, this list of conditions and the following disclaimer in the
//     documentation and/or other materials provided with the distribution.
// 
//  3. The name of the authors may not be used to endorse or promote
//     products derived from this software without specific prior written
//     permission.
// 
// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
// NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// 
// This file is part of the PLearn library. For more information on the PLearn
// library, go to the PLearn Web site at www.plearn.org

/* *******************************************************      
   * $Id: TestDependencyCommand.h,v 1.1 2004/02/21 14:59:22 yoshua Exp $
   ******************************************************* */

#ifndef TestDependencyCommand_INC
#define TestDependencyCommand_INC

#include "PLearnCommand.h"
#include "PLearnCommandRegistry.h"

namespace PLearn {
using namespace std;

class TestDependencyCommand: public PLearnCommand
{
public:
  TestDependencyCommand():
    PLearnCommand("test-dependency",
                  "Compute dependency statistics between two selected columns of a vmat.",
                  "  test-dependency <VMat> <x> <y>\n"
                  "Reads a VMatrix (or any matrix format) and computes dependency statistics between\n"
                  "two variables <x> and <y>. The current implementation only computes the Spearman rank correlation\n"
                  "and the linear correlation. The format of <x> and <y> is the following:\n"
                  "   - column number (starting at 0 for the first column), or\n"
                  "   - @<fieldname> \n")
  {}
                    
  virtual void run(const vector<string>& args);

protected:
  static PLearnCommandRegistry reg_;
};

  
} // end of namespace PLearn

#endif

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