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📄 binarysparseinstance.java

📁 wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器
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        text.append(m_Indices[i] + " 1");      } else {        if (m_Dataset.attribute(m_Indices[i]).isNominal() ||             m_Dataset.attribute(m_Indices[i]).isString()) {          text.append(m_Indices[i] + " " +                      Utils.quote(m_Dataset.attribute(m_Indices[i]).                                  value(1)));        } else {          text.append(m_Indices[i] + " 1");        }      }    }    text.append('}');    return text.toString();  }  /**   * Returns an instance's attribute value in internal format.   *   * @param attIndex the attribute's index   * @return the specified value as a double (If the corresponding   * attribute is nominal (or a string) then it returns the value's index as a    * double).   */  public double value(int attIndex) {    int index = locateIndex(attIndex);    if ((index >= 0) && (m_Indices[index] == attIndex)) {      return 1.0;    } else {      return 0.0;    }  }    /**   * Returns an instance's attribute value in internal format.   * Does exactly the same thing as value() if applied to an Instance.   *   * @param indexOfIndex the index of the attribute's index   * @return the specified value as a double (If the corresponding   * attribute is nominal (or a string) then it returns the value's index as a    * double).   */  public final double valueSparse(int indexOfIndex) {    int index = m_Indices[indexOfIndex]; // Throws if out of bounds    return 1;  }    /**   * Deletes an attribute at the given position (0 to    * numAttributes() - 1).   *   * @param pos the attribute's position   */  void forceDeleteAttributeAt(int position) {    int index = locateIndex(position);    m_NumAttributes--;    if ((index >= 0) && (m_Indices[index] == position)) {      int[] tempIndices = new int[m_Indices.length - 1];      System.arraycopy(m_Indices, 0, tempIndices, 0, index);      for (int i = index; i < m_Indices.length - 1; i++) {	tempIndices[i] = m_Indices[i + 1] - 1;      }      m_Indices = tempIndices;    } else {      int[] tempIndices = new int[m_Indices.length];      System.arraycopy(m_Indices, 0, tempIndices, 0, index + 1);      for (int i = index + 1; i < m_Indices.length - 1; i++) {	tempIndices[i] = m_Indices[i] - 1;      }      m_Indices = tempIndices;    }  }  /**   * Inserts an attribute at the given position   * (0 to numAttributes()) and sets its value to 1.    *   * @param pos the attribute's position   */  void forceInsertAttributeAt(int position)  {    int index = locateIndex(position);    m_NumAttributes++;    if ((index >= 0) && (m_Indices[index] == position)) {      int[] tempIndices = new int[m_Indices.length + 1];      System.arraycopy(m_Indices, 0, tempIndices, 0, index);      tempIndices[index] = position;      for (int i = index; i < m_Indices.length; i++) {	tempIndices[i + 1] = m_Indices[i] + 1;      }      m_Indices = tempIndices;    } else {      int[] tempIndices = new int[m_Indices.length + 1];      System.arraycopy(m_Indices, 0, tempIndices, 0, index + 1);      tempIndices[index + 1] = position;      for (int i = index + 1; i < m_Indices.length; i++) {	tempIndices[i + 1] = m_Indices[i] + 1;      }      m_Indices = tempIndices;    }  }  /**   * Main method for testing this class.   */  public static void main(String[] options) {    try {      // Create numeric attributes "length" and "weight"      Attribute length = new Attribute("length");      Attribute weight = new Attribute("weight");            // Create vector to hold nominal values "first", "second", "third"       FastVector my_nominal_values = new FastVector(3);       my_nominal_values.addElement("first");       my_nominal_values.addElement("second");             // Create nominal attribute "position"       Attribute position = new Attribute("position", my_nominal_values);            // Create vector of the above attributes       FastVector attributes = new FastVector(3);      attributes.addElement(length);      attributes.addElement(weight);      attributes.addElement(position);            // Create the empty dataset "race" with above attributes      Instances race = new Instances("race", attributes, 0);            // Make position the class attribute      race.setClassIndex(position.index());            // Create empty instance with three attribute values      BinarySparseInstance inst = new BinarySparseInstance(3);            // Set instance's values for the attributes "length", "weight", and "position"      inst.setValue(length, 5.3);      inst.setValue(weight, 300);      inst.setValue(position, "first");            // Set instance's dataset to be the dataset "race"      inst.setDataset(race);            // Print the instance      System.out.println("The instance: " + inst);            // Print the first attribute      System.out.println("First attribute: " + inst.attribute(0));            // Print the class attribute      System.out.println("Class attribute: " + inst.classAttribute());            // Print the class index      System.out.println("Class index: " + inst.classIndex());            // Say if class is missing      System.out.println("Class is missing: " + inst.classIsMissing());            // Print the instance's class value in internal format      System.out.println("Class value (internal format): " + inst.classValue());            // Print a shallow copy of this instance      SparseInstance copy = (SparseInstance) inst.copy();      System.out.println("Shallow copy: " + copy);            // Set dataset for shallow copy      copy.setDataset(inst.dataset());      System.out.println("Shallow copy with dataset set: " + copy);      // Print out all values in internal format      System.out.print("All stored values in internal format: ");      for (int i = 0; i < inst.numValues(); i++) {	if (i > 0) {	  System.out.print(",");	}	System.out.print(inst.valueSparse(i));      }      System.out.println();      // Set all values to zero      System.out.print("All values set to zero: ");      while (inst.numValues() > 0) {	inst.setValueSparse(0, 0);      }      for (int i = 0; i < inst.numValues(); i++) {	if (i > 0) {	  System.out.print(",");	}	System.out.print(inst.valueSparse(i));      }      System.out.println();      // Set all values to one      System.out.print("All values set to one: ");      for (int i = 0; i < inst.numAttributes(); i++) {	inst.setValue(i, 1);      }      for (int i = 0; i < inst.numValues(); i++) {	if (i > 0) {	  System.out.print(",");	}	System.out.print(inst.valueSparse(i));      }      System.out.println();      // Unset dataset for copy, delete first attribute, and insert it again      copy.setDataset(null);      copy.deleteAttributeAt(0);      copy.insertAttributeAt(0);      copy.setDataset(inst.dataset());      System.out.println("Copy with first attribute deleted and inserted: " + copy);       // Same for second attribute      copy.setDataset(null);      copy.deleteAttributeAt(1);      copy.insertAttributeAt(1);      copy.setDataset(inst.dataset());      System.out.println("Copy with second attribute deleted and inserted: " + copy);       // Same for last attribute      copy.setDataset(null);      copy.deleteAttributeAt(2);      copy.insertAttributeAt(2);      copy.setDataset(inst.dataset());      System.out.println("Copy with third attribute deleted and inserted: " + copy);             // Enumerate attributes (leaving out the class attribute)      System.out.println("Enumerating attributes (leaving out class):");      Enumeration enum = inst.enumerateAttributes();      while (enum.hasMoreElements()) {	Attribute att = (Attribute) enum.nextElement();	System.out.println(att);      }            // Headers are equivalent?      System.out.println("Header of original and copy equivalent: " +			 inst.equalHeaders(copy));      // Test for missing values      System.out.println("Length of copy missing: " + copy.isMissing(length));      System.out.println("Weight of copy missing: " + copy.isMissing(weight.index()));      System.out.println("Length of copy missing: " + 			 Instance.isMissingValue(copy.value(length)));      System.out.println("Missing value coded as: " + Instance.missingValue());      // Prints number of attributes and classes      System.out.println("Number of attributes: " + copy.numAttributes());      System.out.println("Number of classes: " + copy.numClasses());      // Replace missing values      double[] meansAndModes = {2, 3, 0};      copy.replaceMissingValues(meansAndModes);      System.out.println("Copy with missing value replaced: " + copy);      // Setting and getting values and weights      copy.setClassMissing();      System.out.println("Copy with missing class: " + copy);      copy.setClassValue(0);      System.out.println("Copy with class value set to first value: " + copy);      copy.setClassValue("second");      System.out.println("Copy with class value set to \"second\": " + copy);      copy.setMissing(1);      System.out.println("Copy with second attribute set to be missing: " + copy);      copy.setMissing(length);      System.out.println("Copy with length set to be missing: " + copy);      copy.setValue(0, 0);      System.out.println("Copy with first attribute set to 0: " + copy);      copy.setValue(weight, 1);      System.out.println("Copy with weight attribute set to 1: " + copy);      copy.setValue(position, "second");      System.out.println("Copy with position set to \"second\": " + copy);      copy.setValue(2, "first");      System.out.println("Copy with last attribute set to \"first\": " + copy);      System.out.println("Current weight of instance copy: " + copy.weight());      copy.setWeight(2);      System.out.println("Current weight of instance copy (set to 2): " + copy.weight());      System.out.println("Last value of copy: " + copy.toString(2));      System.out.println("Value of position for copy: " + copy.toString(position));      System.out.println("Last value of copy (internal format): " + copy.value(2));      System.out.println("Value of position for copy (internal format): " + 			 copy.value(position));    } catch (Exception e) {      e.printStackTrace();    }  }}

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