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📄 tester.java

📁 Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等
💻 JAVA
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/* *    This program is free software; you can redistribute it and/or modify *    it under the terms of the GNU General Public License as published by *    the Free Software Foundation; either version 2 of the License, or *    (at your option) any later version. * *    This program is distributed in the hope that it will be useful, *    but WITHOUT ANY WARRANTY; without even the implied warranty of *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the *    GNU General Public License for more details. * *    You should have received a copy of the GNU General Public License *    along with this program; if not, write to the Free Software *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. *//* * Tester.java * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand * */package weka.experiment;import weka.core.Instances;import weka.core.Instance;import weka.core.Range;import weka.core.Statistics;import java.io.Serializable;/** * Interface for different kinds of Testers in the Experimenter. *  * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 1.3 $ */public interface Tester extends Serializable {  /**   * returns the name of the testing algorithm   */  public String getDisplayName();  /**   * returns a string that is displayed as tooltip on the "perform test"   * button in the experimenter   */  public String getToolTipText();  /**   * retrieves all the settings from the given Tester   *   * @param tester      the Tester to get the settings from   */  public void assign(Tester tester);  /**   * Sets the matrix to use to produce the output.   * @param matrix the instance to use to produce the output   * @see ResultMatrix   */  public void setResultMatrix(ResultMatrix matrix);  /**   * Gets the instance that produces the output.   * @return the instance to produce the output   */  public ResultMatrix getResultMatrix();  /**   * Set whether standard deviations are displayed or not.   * @param s true if standard deviations are to be displayed   */  public void setShowStdDevs(boolean s);  /**   * Returns true if standard deviations have been requested.   * @return true if standard deviations are to be displayed.   */  public boolean getShowStdDevs();  /**   * Gets the number of datasets in the resultsets   *   * @return the number of datasets in the resultsets   */  public int getNumDatasets();  /**   * Gets the number of resultsets in the data.   *   * @return the number of resultsets in the data   */  public int getNumResultsets();  /**   * Gets a string descriptive of the specified resultset.   *   * @param index the index of the resultset   * @return a descriptive string for the resultset   */  public String getResultsetName(int index);    /**   * Checks whether the resultset with the given index shall be displayed.   *    * @param index the index of the resultset to check whether it shall be displayed    * @return whether the specified resultset is displayed    */  public boolean displayResultset(int index);    /**   * Computes a paired t-test comparison for a specified dataset between   * two resultsets.   *   * @param datasetSpecifier the dataset specifier   * @param resultset1Index the index of the first resultset   * @param resultset2Index the index of the second resultset   * @param comparisonColumn the column containing values to compare   * @return the results of the paired comparison   * @exception Exception if an error occurs   */  public PairedStats calculateStatistics(Instance datasetSpecifier,					 int resultset1Index,					 int resultset2Index,					 int comparisonColumn) throws Exception;    /**   * Creates a key that maps resultset numbers to their descriptions.   *   * @return a value of type 'String'   */  public String resultsetKey();    /**   * Creates a "header" string describing the current resultsets.   *   * @param comparisonColumn a value of type 'int'   * @return a value of type 'String'   */  public String header(int comparisonColumn);  /**   * Carries out a comparison between all resultsets, counting the number   * of datsets where one resultset outperforms the other.   *   * @param comparisonColumn the index of the comparison column   * @return a 2d array where element [i][j] is the number of times resultset   * j performed significantly better than resultset i.   * @exception Exception if an error occurs   */  public int [][] multiResultsetWins(int comparisonColumn, int [][] nonSigWin)    throws Exception;    /**   * Carries out a comparison between all resultsets, counting the number   * of datsets where one resultset outperforms the other. The results   * are summarized in a table.   *   * @param comparisonColumn the index of the comparison column   * @return the results in a string   * @exception Exception if an error occurs   */  public String multiResultsetSummary(int comparisonColumn)    throws Exception;  public String multiResultsetRanking(int comparisonColumn)    throws Exception;				      /**   * Creates a comparison table where a base resultset is compared to the   * other resultsets. Results are presented for every dataset.   *   * @param baseResultset the index of the base resultset   * @param comparisonColumn the index of the column to compare over   * @return the comparison table string   * @exception Exception if an error occurs   */  public String multiResultsetFull(int baseResultset,				   int comparisonColumn) throws Exception;  /**   * Get the value of ResultsetKeyColumns.   *   * @return Value of ResultsetKeyColumns.   */  public Range getResultsetKeyColumns();    /**   * Set the value of ResultsetKeyColumns.   *   * @param newResultsetKeyColumns Value to assign to ResultsetKeyColumns.   */  public void setResultsetKeyColumns(Range newResultsetKeyColumns);    /**   * Gets the indices of the the datasets that are displayed (if <code>null</code>   * then all are displayed). The base is always displayed.   *    * @return the indices of the datasets to display   */  public int[] getDisplayedResultsets();    /**   * Sets the indicies of the datasets to display (<code>null</code> means all).   * The base is always displayed.   *    * @param cols the indices of the datasets to display   */  public void setDisplayedResultsets(int[] cols);    /**   * Get the value of SignificanceLevel.   *   * @return Value of SignificanceLevel.   */  public double getSignificanceLevel();    /**   * Set the value of SignificanceLevel.   *   * @param newSignificanceLevel Value to assign to SignificanceLevel.   */  public void setSignificanceLevel(double newSignificanceLevel);  /**   * Get the value of DatasetKeyColumns.   *   * @return Value of DatasetKeyColumns.   */  public Range getDatasetKeyColumns();    /**   * Set the value of DatasetKeyColumns.   *   * @param newDatasetKeyColumns Value to assign to DatasetKeyColumns.   */  public void setDatasetKeyColumns(Range newDatasetKeyColumns);    /**   * Get the value of RunColumn.   *   * @return Value of RunColumn.   */  public int getRunColumn();    /**   * Set the value of RunColumn.   *   * @param newRunColumn Value to assign to RunColumn.   */  public void setRunColumn(int newRunColumn);  /**   * Get the value of FoldColumn.   *   * @return Value of FoldColumn.   */  public int getFoldColumn();    /**   * Set the value of FoldColumn.   *   * @param newFoldColumn Value to assign to FoldColumn.   */  public void setFoldColumn(int newFoldColumn);  /**   * Returns the name of the column to sort on.   *   * @return the name of the column to sort on.   */  public String getSortColumnName();  /**   * Returns the column to sort on, -1 means the default sorting.   *   * @return the column to sort on.   */  public int getSortColumn();    /**   * Set the column to sort on, -1 means the default sorting.   *   * @param newSortColumn the new sort column.   */  public void setSortColumn(int newSortColumn);    /**   * Get the value of Instances.   *   * @return Value of Instances.   */  public Instances getInstances();    /**   * Set the value of Instances.   *   * @param newInstances Value to assign to Instances.   */  public void setInstances(Instances newInstances);}

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