text: /*
   * Copyright (c) The Shogun Machine Learning Toolbox
   * Written (w) 2016 - 2017 Soumyajit De
   * All rights reserved.
   *
   * 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.
   *
   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
   * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
   * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
   * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
   * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
   * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
   * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
   *
   * The views and conclusions contained in the software and documentation are those
   * of the authors and should not be interpreted as representing official policies,
   * either expressed or implied, of the Shogun Development Team.
   */
  
  #ifndef ONE_DISTRIBUTION_TEST_H_
  #define ONE_DISTRIBUTION_TEST_H_
  
  #include <shogun/statistical_testing/HypothesisTest.h>
  
  namespace shogun
  {
  
  /**
   * @brief Class OneDistributionTest is the base class for the statistical
   * hypothesis testing with samples from one distributions, \f$mathbf{P}\f$.
   */
  class COneDistributionTest : public CHypothesisTest
  {
  public:
  	/** Default constructor */
  	COneDistributionTest();
  
  	/** Destrutor */
  	virtual ~COneDistributionTest();
  
  	/**
  	 * Method that initializes the samples from \f$\mathbf{P}\f$.
  	 *
  	 * @param samples The CFeatures instance representing the samples
  	 * from \f$\mathbf{P}\f$.
  	 */
  	void set_samples(CFeatures* samples);
  
  	/** @return The samples from \f$\mathbf{P}\f$. */
  	CFeatures* get_samples() const;
  
  	/**
  	 * Method that initializes the number of samples to be drawn from distribution
  	 * \f$\mathbf{P}\f$. Please ensure to call this method if you are intending to
  	 * use streaming data generators that generate the samples on the fly. For
  	 * other types of features, the number of samples is set internally from the
  	 * features object itself, therefore this method should not be used.
  	 *
  	 * @param num_samples The CFeatures instance representing the samples
  	 * from \f$\mathbf{P}\f$.
  	 */
  	void set_num_samples(index_t num_samples);
  
  	/** @return The number of samples from \f$\mathbf{P}\f$. */
  	index_t get_num_samples() const;
  
  	/**
  	 * Interface for computing the test-statistic for the hypothesis test.
  	 *
  	 * @return test statistic for the given data/parameters/methods
  	 */
  	virtual float64_t compute_statistic()=0;
  
  	/**
  	 * Interface for computing the samples under the null-hypothesis.
  	 *
  	 * @return vector of all statistics
  	 */
  	virtual SGVector<float64_t> sample_null()=0;
  
  	/** @return The name of the class */
  	virtual const char* get_name() const;
  };
  
  }
  #endif // ONE_DISTRIBUTION_TEST_H_
  