Exemplo n.º 1
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -A
   *  The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).
   * </pre>
   *
   * <pre> -K &lt;number of neighbours&gt;
   *  Set the number of neighbours used to set the kernel bandwidth.
   *  (default all)</pre>
   *
   * <pre> -U &lt;number of weighting method&gt;
   *  Set the weighting kernel shape to use. 0=Linear, 1=Epanechnikov,
   *  2=Tricube, 3=Inverse, 4=Gaussian.
   *  (default 0 = Linear)</pre>
   *
   * <pre> -D
   *  If set, classifier is run in debug mode and
   *  may output additional info to the console</pre>
   *
   * <pre> -W
   *  Full name of base classifier.
   *  (default: weka.classifiers.trees.DecisionStump)</pre>
   *
   * <pre>
   * Options specific to classifier weka.classifiers.trees.DecisionStump:
   * </pre>
   *
   * <pre> -D
   *  If set, classifier is run in debug mode and
   *  may output additional info to the console</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String knnString = Utils.getOption('K', options);
    if (knnString.length() != 0) {
      setKNN(Integer.parseInt(knnString));
    } else {
      setKNN(-1);
    }

    String weightString = Utils.getOption('U', options);
    if (weightString.length() != 0) {
      setWeightingKernel(Integer.parseInt(weightString));
    } else {
      setWeightingKernel(LINEAR);
    }

    String nnSearchClass = Utils.getOption('A', options);
    if (nnSearchClass.length() != 0) {
      String nnSearchClassSpec[] = Utils.splitOptions(nnSearchClass);
      if (nnSearchClassSpec.length == 0) {
        throw new Exception("Invalid NearestNeighbourSearch algorithm " + "specification string.");
      }
      String className = nnSearchClassSpec[0];
      nnSearchClassSpec[0] = "";

      setNearestNeighbourSearchAlgorithm(
          (NearestNeighbourSearch)
              Utils.forName(NearestNeighbourSearch.class, className, nnSearchClassSpec));
    } else this.setNearestNeighbourSearchAlgorithm(new LinearNNSearch());

    super.setOptions(options);
  }
Exemplo n.º 2
0
  @Override
  public void setOptions(String[] options) throws Exception {

    // these are options to the hadoop map task (especially the -names-file)

    String existing = Utils.getOption("existing-header", options);
    setPathToExistingHeader(existing);

    String attNames = Utils.getOption('A', options);
    setAttributeNames(attNames);

    String namesFile = Utils.getOption("names-file", options);
    setAttributeNamesFile(namesFile);

    String outputName = Utils.getOption("header-file-name", options);
    setOutputHeaderFileName(outputName);

    super.setOptions(options);

    // any options to pass on to the underlying Weka csv to arff map task?
    CSVToARFFHeaderMapTask tempMap = new CSVToARFFHeaderMapTask();
    tempMap.setOptions(options);

    String optsToWekaMapTask = Utils.joinOptions(tempMap.getOptions());
    if (!DistributedJobConfig.isEmpty(optsToWekaMapTask)) {
      setCsvToArffTaskOptions(optsToWekaMapTask);
    }
  }
Exemplo n.º 3
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -find &lt;regexp&gt;
   *  The regular expression that the attribute names must match.
   *  (default: ([\s\S]+))</pre>
   *
   * <pre> -replace &lt;string&gt;
   *  The string to replace the regular expression of matching attributes with.
   *  Cannot be used in conjunction with '-remove'.
   *  (default: $0)</pre>
   *
   * <pre> -remove
   *  In case the matching string needs to be removed instead of replaced.
   *  Cannot be used in conjunction with '-replace &lt;string&gt;'.
   *  (default: off)</pre>
   *
   * <pre> -all
   *  Replaces all occurrences instead of just the first.
   *  (default: only first occurrence)</pre>
   *
   * <pre> -R &lt;range&gt;
   *  The attribute range to work on.
   * This is a comma separated list of attribute indices, with "first" and "last" valid values.
   *  Specify an inclusive range with "-".
   *  E.g: "first-3,5,6-10,last".
   *  (default: first-last)</pre>
   *
   * <pre> -V
   *  Inverts the attribute selection range.
   *  (default: off)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption("find", options);
    if (tmpStr.length() != 0) setFind(tmpStr);
    else setFind("([\\s\\S]+)");

    if (Utils.getFlag("remove", options)) {
      setReplace("");
    } else {
      tmpStr = Utils.getOption("replace", options);
      if (tmpStr.length() > 0) setReplace(tmpStr);
      else setReplace("$0");
    }

    setReplaceAll(Utils.getFlag("all", options));

    tmpStr = Utils.getOption("R", options);
    if (tmpStr.length() != 0) setAttributeIndices(tmpStr);
    else setAttributeIndices("first-last");

    setInvertSelection(Utils.getFlag("V", options));

    if (getInputFormat() != null) setInputFormat(getInputFormat());
  }
Exemplo n.º 4
0
  /**
   * Sets the options.
   *
   * @param options the options
   * @throws Exception if invalid option
   */
  @Override
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    super.setOptions(options);

    tmpStr = Utils.getOption('a', options);
    if (tmpStr.length() != 0) {
      setNumAttributes(Integer.parseInt(tmpStr));
    } else {
      setNumAttributes(defaultNumAttributes());
    }

    setClassFlag(Utils.getFlag('c', options));

    tmpStr = Utils.getOption('b', options);
    setBooleanIndices(tmpStr);
    m_booleanCols.setUpper(getNumAttributes() - 1);

    tmpStr = Utils.getOption('m', options);
    setNominalIndices(tmpStr);
    m_nominalCols.setUpper(getNumAttributes() - 1);

    // check indices
    tmpStr = checkIndices();
    if (tmpStr.length() > 0) {
      throw new IllegalArgumentException(tmpStr);
    }
  }
Exemplo n.º 5
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -B &lt;num&gt;
   *  Manual blend setting (default 20%)
   * </pre>
   *
   * <pre> -E
   *  Enable entropic auto-blend setting (symbolic class only)
   * </pre>
   *
   * <pre> -M &lt;char&gt;
   *  Specify the missing value treatment mode (default a)
   *  Valid options are: a(verage), d(elete), m(axdiff), n(ormal)
   * </pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String debug = "(KStar.setOptions)";
    String blendStr = Utils.getOption('B', options);
    if (blendStr.length() != 0) {
      setGlobalBlend(Integer.parseInt(blendStr));
    }

    setEntropicAutoBlend(Utils.getFlag('E', options));

    String missingModeStr = Utils.getOption('M', options);
    if (missingModeStr.length() != 0) {
      switch (missingModeStr.charAt(0)) {
        case 'a':
          setMissingMode(new SelectedTag(M_AVERAGE, TAGS_MISSING));
          break;
        case 'd':
          setMissingMode(new SelectedTag(M_DELETE, TAGS_MISSING));
          break;
        case 'm':
          setMissingMode(new SelectedTag(M_MAXDIFF, TAGS_MISSING));
          break;
        case 'n':
          setMissingMode(new SelectedTag(M_NORMAL, TAGS_MISSING));
          break;
        default:
          setMissingMode(new SelectedTag(M_AVERAGE, TAGS_MISSING));
      }
    }
    Utils.checkForRemainingOptions(options);
  }
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -M
   *  Minimize expected misclassification cost. Default is to
   *  reweight training instances according to costs per class</pre>
   *
   * <pre> -C &lt;cost file name&gt;
   *  File name of a cost matrix to use. If this is not supplied,
   *  a cost matrix will be loaded on demand. The name of the
   *  on-demand file is the relation name of the training data
   *  plus ".cost", and the path to the on-demand file is
   *  specified with the -N option.</pre>
   *
   * <pre> -N &lt;directory&gt;
   *  Name of a directory to search for cost files when loading
   *  costs on demand (default current directory).</pre>
   *
   * <pre> -cost-matrix &lt;matrix&gt;
   *  The cost matrix in Matlab single line format.</pre>
   *
   * <pre> -S &lt;num&gt;
   *  Random number seed.
   *  (default 1)</pre>
   *
   * <pre> -D
   *  If set, classifier is run in debug mode and
   *  may output additional info to the console</pre>
   *
   * <pre> -W
   *  Full name of base classifier.
   *  (default: weka.classifiers.rules.ZeroR)</pre>
   *
   * <pre>
   * Options specific to classifier weka.classifiers.rules.ZeroR:
   * </pre>
   *
   * <pre> -D
   *  If set, classifier is run in debug mode and
   *  may output additional info to the console</pre>
   *
   * <!-- options-end -->
   * Options after -- are passed to the designated classifier.
   *
   * <p>
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    setMinimizeExpectedCost(Utils.getFlag('M', options));

    String costFile = Utils.getOption('C', options);
    if (costFile.length() != 0) {
      try {
        setCostMatrix(new CostMatrix(new BufferedReader(new FileReader(costFile))));
      } catch (Exception ex) {
        // now flag as possible old format cost matrix. Delay cost matrix
        // loading until buildClassifer is called
        setCostMatrix(null);
      }
      setCostMatrixSource(new SelectedTag(MATRIX_SUPPLIED, TAGS_MATRIX_SOURCE));
      m_CostFile = costFile;
    } else {
      setCostMatrixSource(new SelectedTag(MATRIX_ON_DEMAND, TAGS_MATRIX_SOURCE));
    }

    String demandDir = Utils.getOption('N', options);
    if (demandDir.length() != 0) {
      setOnDemandDirectory(new File(demandDir));
    }

    String cost_matrix = Utils.getOption("cost-matrix", options);
    if (cost_matrix.length() != 0) {
      StringWriter writer = new StringWriter();
      CostMatrix.parseMatlab(cost_matrix).write(writer);
      setCostMatrix(new CostMatrix(new StringReader(writer.toString())));
      setCostMatrixSource(new SelectedTag(MATRIX_SUPPLIED, TAGS_MATRIX_SOURCE));
    }

    super.setOptions(options);
  }
Exemplo n.º 7
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -P &lt;start set&gt;
   *  Specify a starting set of attributes.
   *  Eg. 1,3,5-7.</pre>
   *
   * <pre> -D &lt;0 = backward | 1 = forward | 2 = bi-directional&gt;
   *  Direction of search. (default = 1).</pre>
   *
   * <pre> -N &lt;num&gt;
   *  Number of non-improving nodes to
   *  consider before terminating search.</pre>
   *
   * <pre> -S &lt;num&gt;
   *  Size of lookup cache for evaluated subsets.
   *  Expressed as a multiple of the number of
   *  attributes in the data set. (default = 1)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String optionString;
    resetOptions();

    optionString = Utils.getOption('P', options);
    if (optionString.length() != 0) {
      setStartSet(optionString);
    }

    optionString = Utils.getOption('D', options);

    if (optionString.length() != 0) {
      setDirection(new SelectedTag(Integer.parseInt(optionString), TAGS_SELECTION));
    } else {
      setDirection(new SelectedTag(SELECTION_FORWARD, TAGS_SELECTION));
    }

    optionString = Utils.getOption('N', options);

    if (optionString.length() != 0) {
      setSearchTermination(Integer.parseInt(optionString));
    }

    optionString = Utils.getOption('S', options);
    if (optionString.length() != 0) {
      setLookupCacheSize(Integer.parseInt(optionString));
    }

    m_debug = Utils.getFlag('Z', options);
  }
Exemplo n.º 8
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -C &lt;col&gt;
   *  Index of the attribute to be changed
   *  (default last attribute)</pre>
   *
   * <pre> -M
   *  Treat missing values as an extra value
   * </pre>
   *
   * <pre> -P &lt;num&gt;
   *  Specify the percentage of noise introduced
   *  to the data (default 10)</pre>
   *
   * <pre> -S &lt;num&gt;
   *  Specify the random number seed (default 1)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String indexString = Utils.getOption('C', options);
    if (indexString.length() != 0) {
      setAttributeIndex(indexString);
    } else {
      setAttributeIndex("last");
    }

    if (Utils.getFlag('M', options)) {
      setUseMissing(true);
    }

    String percentString = Utils.getOption('P', options);
    if (percentString.length() != 0) {
      setPercent((int) Double.valueOf(percentString).doubleValue());
    } else {
      setPercent(10);
    }

    String seedString = Utils.getOption('S', options);
    if (seedString.length() != 0) {
      setRandomSeed(Integer.parseInt(seedString));
    } else {
      setRandomSeed(1);
    }
  }
Exemplo n.º 9
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -B
   *  Binary splits (convert nominal attributes to binary ones) </pre>
   *
   * <pre> -P
   *  Use error on probabilities instead of misclassification error for stopping criterion of LogitBoost.
   * </pre>
   *
   * <pre> -I &lt;numIterations&gt;
   *  Set fixed number of iterations for LogitBoost (instead of using cross-validation)</pre>
   *
   * <pre> -F &lt;modelType&gt;
   *  Set Funtional Tree type to be generate:  0 for FT, 1 for FTLeaves and 2 for FTInner</pre>
   *
   * <pre> -M &lt;numInstances&gt;
   *  Set minimum number of instances at which a node can be split (default 15)</pre>
   *
   * <pre> -W &lt;beta&gt;
   *  Set beta for weight trimming for LogitBoost. Set to 0 (default) for no weight trimming.</pre>
   *
   * <pre> -A
   *  The AIC is used to choose the best iteration.</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    setBinSplit(Utils.getFlag('B', options));
    setErrorOnProbabilities(Utils.getFlag('P', options));

    String optionString = Utils.getOption('I', options);
    if (optionString.length() != 0) {
      setNumBoostingIterations((new Integer(optionString)).intValue());
    }

    optionString = Utils.getOption('F', options);
    if (optionString.length() != 0) {
      setModelType(new SelectedTag(Integer.parseInt(optionString), TAGS_MODEL));
      // setModelType((new Integer(optionString)).intValue());
    }

    optionString = Utils.getOption('M', options);
    if (optionString.length() != 0) {
      setMinNumInstances((new Integer(optionString)).intValue());
    }

    optionString = Utils.getOption('W', options);
    if (optionString.length() != 0) {
      setWeightTrimBeta((new Double(optionString)).doubleValue());
    }

    setUseAIC(Utils.getFlag('A', options));

    Utils.checkForRemainingOptions(options);
  }
Exemplo n.º 10
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -T &lt;NUM|NOM|STR|DAT&gt;
   *  The type of attribute to create:
   *  NUM = Numeric attribute
   *  NOM = Nominal attribute
   *  STR = String attribute
   *  DAT = Date attribute
   *  (default: NUM)</pre>
   *
   * <pre> -C &lt;index&gt;
   *  Specify where to insert the column. First and last
   *  are valid indexes.(default: last)</pre>
   *
   * <pre> -N &lt;name&gt;
   *  Name of the new attribute.
   *  (default: 'Unnamed')</pre>
   *
   * <pre> -L &lt;label1,label2,...&gt;
   *  Create nominal attribute with given labels
   *  (default: numeric attribute)</pre>
   *
   * <pre> -F &lt;format&gt;
   *  The format of the date values (see ISO-8601)
   *  (default: yyyy-MM-dd'T'HH:mm:ss)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption('T', options);
    if (tmpStr.length() != 0) setAttributeType(new SelectedTag(tmpStr, TAGS_TYPE));
    else setAttributeType(new SelectedTag(Attribute.NUMERIC, TAGS_TYPE));

    tmpStr = Utils.getOption('C', options);
    if (tmpStr.length() == 0) tmpStr = "last";
    setAttributeIndex(tmpStr);

    setAttributeName(Utils.unbackQuoteChars(Utils.getOption('N', options)));

    if (m_AttributeType == Attribute.NOMINAL) {
      tmpStr = Utils.getOption('L', options);
      if (tmpStr.length() != 0) setNominalLabels(tmpStr);
    } else if (m_AttributeType == Attribute.DATE) {
      tmpStr = Utils.getOption('F', options);
      if (tmpStr.length() != 0) setDateFormat(tmpStr);
    }

    if (getInputFormat() != null) {
      setInputFormat(getInputFormat());
    }
  }
Exemplo n.º 11
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -R &lt;col1,col2-col4,...&gt;
   *  Specifies list of columns to Discretize. First and last are valid indexes.
   *  (default none)</pre>
   *
   * <pre> -V
   *  Invert matching sense of column indexes.</pre>
   *
   * <pre> -D
   *  Output binary attributes for discretized attributes.</pre>
   *
   * <pre> -Y
   *  Use bin numbers rather than ranges for discretized attributes.</pre>
   *
   * <pre> -E
   *  Use better encoding of split point for MDL.</pre>
   *
   * <pre> -K
   *  Use Kononenko's MDL criterion.</pre>
   *
   * <pre> -precision &lt;integer&gt;
   *  Precision for bin boundary labels.
   *  (default = 6 decimal places).</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  @Override
  public void setOptions(String[] options) throws Exception {

    setMakeBinary(Utils.getFlag('D', options));
    setUseBinNumbers(Utils.getFlag('Y', options));
    setUseBetterEncoding(Utils.getFlag('E', options));
    setUseKononenko(Utils.getFlag('K', options));
    setInvertSelection(Utils.getFlag('V', options));

    String convertList = Utils.getOption('R', options);
    if (convertList.length() != 0) {
      setAttributeIndices(convertList);
    } else {
      setAttributeIndices("first-last");
    }

    String precisionS = Utils.getOption("precision", options);
    if (precisionS.length() > 0) {
      setBinRangePrecision(Integer.parseInt(precisionS));
    }

    if (getInputFormat() != null) {
      setInputFormat(getInputFormat());
    }

    Utils.checkForRemainingOptions(options);
  }
  /**
   * Parses a given list of options controlling the behaviour of this object. Valid options are:
   *
   * <p>-l "directory name"<br>
   * Specifies name of directory.
   *
   * <p>-m "model name"<br>
   * Specifies name of model.
   *
   * <p>-e "encoding"<br>
   * Specifies encoding.
   *
   * <p>-n<br>
   * Specifies number of phrases to be output (default: 5).
   *
   * <p>-d<br>
   * Turns debugging mode on.
   *
   * <p>-a<br>
   * Also write stemmed phrase and score into ".key" file.
   *
   * <p>
   *
   * @param options the list of options as an array of strings
   * @exception Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String dirName = Utils.getOption('l', options);
    if (dirName.length() > 0) {
      setDirName(dirName);
    } else {
      setDirName(null);
      throw new Exception("Name of directory required argument.");
    }
    String modelName = Utils.getOption('m', options);
    if (modelName.length() > 0) {
      setModelName(modelName);
    } else {
      setModelName(null);
      throw new Exception("Name of model required argument.");
    }
    String encoding = Utils.getOption('e', options);
    if (encoding.length() > 0) {
      setEncoding(encoding);
    } else {
      setEncoding("default");
    }
    String numPhrases = Utils.getOption('n', options);
    if (numPhrases.length() > 0) {
      setNumPhrases(Integer.parseInt(numPhrases));
    } else {
      setNumPhrases(5);
    }
    setDebug(Utils.getFlag('d', options));
    setAdditionalInfo(Utils.getFlag('a', options));
    Utils.checkForRemainingOptions(options);
  }
Exemplo n.º 13
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -C &lt;col&gt;
   *  Sets the attribute index (default last).</pre>
   *
   * <pre> -F &lt;value index&gt;
   *  Sets the first value's index (default first).</pre>
   *
   * <pre> -S &lt;value index&gt;
   *  Sets the second value's index (default last).</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String attIndex = Utils.getOption('C', options);
    if (attIndex.length() != 0) {
      setAttributeIndex(attIndex);
    } else {
      setAttributeIndex("last");
    }

    String firstValIndex = Utils.getOption('F', options);
    if (firstValIndex.length() != 0) {
      setFirstValueIndex(firstValIndex);
    } else {
      setFirstValueIndex("first");
    }

    String secondValIndex = Utils.getOption('S', options);
    if (secondValIndex.length() != 0) {
      setSecondValueIndex(secondValIndex);
    } else {
      setSecondValueIndex("last");
    }

    if (getInputFormat() != null) {
      setInputFormat(getInputFormat());
    }
  }
Exemplo n.º 14
0
  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -L &lt;double&gt;
   *  The epsilon parameter in epsilon-insensitive loss function.
   *  (default 1.0e-3)</pre>
   *
   * <pre> -W &lt;double&gt;
   *  The random number seed.
   *  (default 1)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption('L', options);
    if (tmpStr.length() != 0) {
      setEpsilonParameter(Double.parseDouble(tmpStr));
    } else {
      setEpsilonParameter(1.0e-3);
    }

    /*
    tmpStr = Utils.getOption('S', options);
    if (tmpStr.length() != 0)
      setLossType(new SelectedTag(tmpStr, TAGS_LOSS_TYPE));
    else
      setLossType(new SelectedTag(EPSILON, TAGS_LOSS_TYPE));
    */

    tmpStr = Utils.getOption('W', options);
    if (tmpStr.length() != 0) {
      setSeed(Integer.parseInt(tmpStr));
    } else {
      setSeed(1);
    }
  }
Exemplo n.º 15
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  /**
   * Parses a given list of options.
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre>
   * -S &lt;num&gt;
   *  Specifies the random number seed
   *  (default 1)
   * </pre>
   *
   * <pre>
   * -P &lt;percentage&gt;
   *  Specifies percentage of SMOTE instances to create.
   *  (default 100.0)
   * </pre>
   *
   * <pre>
   * -K &lt;nearest-neighbors&gt;
   *  Specifies the number of nearest neighbors to use.
   *  (default 5)
   * </pre>
   *
   * <pre>
   * -C &lt;value-index&gt;
   *  Specifies the index of the nominal class value to SMOTE
   *  (default 0: auto-detect non-empty minority class))
   * </pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String seedStr = Utils.getOption('S', options);
    if (seedStr.length() != 0) {
      setRandomSeed(Integer.parseInt(seedStr));
    } else {
      setRandomSeed(1);
    }

    String percentageStr = Utils.getOption('P', options);
    if (percentageStr.length() != 0) {
      setPercentage(new Double(percentageStr).doubleValue());
    } else {
      setPercentage(100.0);
    }

    String nnStr = Utils.getOption('K', options);
    if (nnStr.length() != 0) {
      setNearestNeighbors(Integer.parseInt(nnStr));
    } else {
      setNearestNeighbors(5);
    }

    String classValueIndexStr = Utils.getOption('C', options);
    if (classValueIndexStr.length() != 0) {
      setClassValue(classValueIndexStr);
    } else {
      m_DetectMinorityClass = true;
    }
  }
Exemplo n.º 16
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -F &lt;filter specification&gt;
   *  Full class name of filter to use, followed
   *  by filter options.
   *  eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2"
   *  (default: weka.filters.MultiFilter with
   *  weka.filters.unsupervised.attribute.ReplaceMissingValues)</pre>
   *
   * <pre> -c &lt;the class index&gt;
   *  The class index.
   *  (default: -1, i.e. unset)</pre>
   *
   * <pre> -W
   *  Full name of base associator.
   *  (default: weka.associations.Apriori)</pre>
   *
   * <pre>
   * Options specific to associator weka.associations.Apriori:
   * </pre>
   *
   * <pre> -N &lt;required number of rules output&gt;
   *  The required number of rules. (default = 10)</pre>
   *
   * <pre> -T &lt;0=confidence | 1=lift | 2=leverage | 3=Conviction&gt;
   *  The metric type by which to rank rules. (default = confidence)</pre>
   *
   * <pre> -C &lt;minimum metric score of a rule&gt;
   *  The minimum confidence of a rule. (default = 0.9)</pre>
   *
   * <pre> -D &lt;delta for minimum support&gt;
   *  The delta by which the minimum support is decreased in
   *  each iteration. (default = 0.05)</pre>
   *
   * <pre> -U &lt;upper bound for minimum support&gt;
   *  Upper bound for minimum support. (default = 1.0)</pre>
   *
   * <pre> -M &lt;lower bound for minimum support&gt;
   *  The lower bound for the minimum support. (default = 0.1)</pre>
   *
   * <pre> -S &lt;significance level&gt;
   *  If used, rules are tested for significance at
   *  the given level. Slower. (default = no significance testing)</pre>
   *
   * <pre> -I
   *  If set the itemsets found are also output. (default = no)</pre>
   *
   * <pre> -R
   *  Remove columns that contain all missing values (default = no)</pre>
   *
   * <pre> -V
   *  Report progress iteratively. (default = no)</pre>
   *
   * <pre> -A
   *  If set class association rules are mined. (default = no)</pre>
   *
   * <pre> -c &lt;the class index&gt;
   *  The class index. (default = last)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption('F', options);
    if (tmpStr.length() > 0) {
      String[] filterSpec = Utils.splitOptions(tmpStr);
      if (filterSpec.length == 0)
        throw new IllegalArgumentException("Invalid filter specification string");
      String filterName = filterSpec[0];
      filterSpec[0] = "";
      setFilter((Filter) Utils.forName(Filter.class, filterName, filterSpec));
    } else {
      setFilter(new weka.filters.supervised.attribute.Discretize());
    }

    tmpStr = Utils.getOption('c', options);
    if (tmpStr.length() > 0) {
      if (tmpStr.equalsIgnoreCase("last")) {
        setClassIndex(0);
      } else if (tmpStr.equalsIgnoreCase("first")) {
        setClassIndex(1);
      } else {
        setClassIndex(Integer.parseInt(tmpStr));
      }
    } else {
      setClassIndex(-1);
    }

    super.setOptions(options);
  }
Exemplo n.º 17
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  /**
   * Parses the options for this object.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -D
   *  Turns on output of debugging information.</pre>
   *
   * <pre> -A &lt;Haar&gt;
   *  The algorithm to use.
   *  (default: HAAR)</pre>
   *
   * <pre> -P &lt;Zero&gt;
   *  The padding to use.
   *  (default: ZERO)</pre>
   *
   * <pre> -F &lt;filter specification&gt;
   *  The filter to use as preprocessing step (classname and options).
   *  (default: MultiFilter with ReplaceMissingValues and Normalize)</pre>
   *
   * <pre>
   * Options specific to filter weka.filters.MultiFilter ('-F'):
   * </pre>
   *
   * <pre> -D
   *  Turns on output of debugging information.</pre>
   *
   * <pre> -F &lt;classname [options]&gt;
   *  A filter to apply (can be specified multiple times).</pre>
   *
   * <!-- options-end -->
   *
   * @param options the options to use
   * @throws Exception if the option setting fails
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;
    String[] tmpOptions;
    Filter filter;

    super.setOptions(options);

    tmpStr = Utils.getOption("A", options);
    if (tmpStr.length() != 0) setAlgorithm(new SelectedTag(tmpStr, TAGS_ALGORITHM));
    else setAlgorithm(new SelectedTag(ALGORITHM_HAAR, TAGS_ALGORITHM));

    tmpStr = Utils.getOption("P", options);
    if (tmpStr.length() != 0) setPadding(new SelectedTag(tmpStr, TAGS_PADDING));
    else setPadding(new SelectedTag(PADDING_ZERO, TAGS_PADDING));

    tmpStr = Utils.getOption("F", options);
    tmpOptions = Utils.splitOptions(tmpStr);
    if (tmpOptions.length != 0) {
      tmpStr = tmpOptions[0];
      tmpOptions[0] = "";
      setFilter((Filter) Utils.forName(Filter.class, tmpStr, tmpOptions));
    } else {
      filter = new MultiFilter();
      ((MultiFilter) filter)
          .setFilters(
              new Filter[] {
                new weka.filters.unsupervised.attribute.ReplaceMissingValues(),
                new weka.filters.unsupervised.attribute.Normalize()
              });
      setFilter(filter);
    }
  }
 /**
  * Parses a given list of options.
  *
  * @param options the list of options as an array of strings
  * @exception Exception if an option is not supported
  */
 public void setOptions(String[] options) throws Exception {
   String optionString = Utils.getOption('A', options);
   if (optionString.length() != 0) setAlphaStar(Double.parseDouble(optionString));
   optionString = Utils.getOption('S', options);
   if (optionString.length() != 0) setSigma(Double.parseDouble(optionString));
   optionString = Utils.getOption('R', options);
   if (optionString.length() != 0) setR(Double.parseDouble(optionString));
   setUseSparseMatrix(Utils.getFlag('M', options));
 }
Exemplo n.º 19
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  /**
   * Parses a given list of options.
   *
   * @param options the list of options as an array of strings
   * @exception Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    // Other options
    String minNumString = Utils.getOption('M', options);
    if (minNumString.length() != 0) {
      m_minNumObj = Integer.parseInt(minNumString);
    } else {
      m_minNumObj = 2;
    }
    m_binarySplits = Utils.getFlag('B', options);
    m_useLaplace = Utils.getFlag('A', options);

    // Pruning options
    m_unpruned = Utils.getFlag('U', options);
    m_subtreeRaising = !Utils.getFlag('S', options);
    m_noCleanup = Utils.getFlag('L', options);
    if ((m_unpruned) && (!m_subtreeRaising)) {
      throw new Exception("Subtree raising doesn't need to be unset for unpruned tree!");
    }
    m_reducedErrorPruning = Utils.getFlag('R', options);
    if ((m_unpruned) && (m_reducedErrorPruning)) {
      throw new Exception(
          "Unpruned tree and reduced error pruning can't be selected " + "simultaneously!");
    }
    String confidenceString = Utils.getOption('C', options);
    if (confidenceString.length() != 0) {
      if (m_reducedErrorPruning) {
        throw new Exception(
            "Setting the confidence doesn't make sense " + "for reduced error pruning.");
      } else if (m_unpruned) {
        throw new Exception("Doesn't make sense to change confidence for unpruned " + "tree!");
      } else {
        m_CF = (new Float(confidenceString)).floatValue();
        if ((m_CF <= 0) || (m_CF >= 1)) {
          throw new Exception("Confidence has to be greater than zero and smaller " + "than one!");
        }
      }
    } else {
      m_CF = 0.25f;
    }
    String numFoldsString = Utils.getOption('N', options);
    if (numFoldsString.length() != 0) {
      if (!m_reducedErrorPruning) {
        throw new Exception(
            "Setting the number of folds"
                + " doesn't make sense if"
                + " reduced error pruning is not selected.");
      } else {
        m_numFolds = Integer.parseInt(numFoldsString);
      }
    } else {
      m_numFolds = 3;
    }
  }
Exemplo n.º 20
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -i &lt;the input file&gt;
   * The input file</pre>
   *
   * <pre> -o &lt;the output file&gt;
   * The output file</pre>
   *
   * <pre> -c &lt;the class index&gt;
   * The class index</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String outputString = Utils.getOption('o', options);
    String inputString = Utils.getOption('i', options);
    String indexString = Utils.getOption('c', options);

    ArffLoader loader = new ArffLoader();

    resetOptions();

    // parse index
    int index = -1;
    if (indexString.length() != 0) {
      if (indexString.equals("first")) index = 0;
      else {
        if (indexString.equals("last")) index = -1;
        else index = Integer.parseInt(indexString);
      }
    }

    if (inputString.length() != 0) {
      try {
        File input = new File(inputString);
        loader.setFile(input);
        Instances inst = loader.getDataSet();
        if (index == -1) inst.setClassIndex(inst.numAttributes() - 1);
        else inst.setClassIndex(index);
        setInstances(inst);
      } catch (Exception ex) {
        throw new IOException(
            "No data set loaded. Data set has to be arff format (Reason: " + ex.toString() + ").");
      }
    } else throw new IOException("No data set to save.");

    if (outputString.length() != 0) {
      // add appropriate file extension
      if (!outputString.endsWith(getFileExtension())) {
        if (outputString.lastIndexOf('.') != -1)
          outputString =
              (outputString.substring(0, outputString.lastIndexOf('.'))) + getFileExtension();
        else outputString = outputString + getFileExtension();
      }
      try {
        File output = new File(outputString);
        setFile(output);
      } catch (Exception ex) {
        throw new IOException("Cannot create output file.");
      }
    }

    if (index == -1) index = getInstances().numAttributes() - 1;
    getInstances().setClassIndex(index);
  }
Exemplo n.º 21
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre>
   * -C &lt;pruning confidence&gt;
   *  Set confidence threshold for pruning.
   *  (default 0.25)
   * </pre>
   *
   * <pre>
   * -M &lt;minimum number of objects&gt;
   *  Set minimum number of objects per leaf.
   *  (default 2)
   * </pre>
   *
   * <pre>
   * -R
   *  Use reduced error pruning.
   * </pre>
   *
   * <pre>
   * -N &lt;number of folds&gt;
   *  Set number of folds for reduced error
   *  pruning. One fold is used as pruning set.
   *  (default 3)
   * </pre>
   *
   * <pre>
   * -B
   *  Use binary splits only.
   * </pre>
   *
   * <pre>
   * -U
   *  Generate unpruned decision list.
   * </pre>
   *
   * <pre>
   * -J
   *  Do not use MDL correction for info gain on numeric attributes.
   * </pre>
   *
   * <pre>
   * -Q &lt;seed&gt;
   *  Seed for random data shuffling (default 1).
   * </pre>
   *
   * <pre>
   * -doNotMakeSplitPointActualValue
   *  Do not make split point actual value.
   * </pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  @Override
  public void setOptions(String[] options) throws Exception {

    // Pruning options
    m_unpruned = Utils.getFlag('U', options);
    m_reducedErrorPruning = Utils.getFlag('R', options);
    m_binarySplits = Utils.getFlag('B', options);
    m_useMDLcorrection = !Utils.getFlag('J', options);
    m_doNotMakeSplitPointActualValue = Utils.getFlag("doNotMakeSplitPointActualValue", options);
    String confidenceString = Utils.getOption('C', options);
    if (confidenceString.length() != 0) {
      if (m_reducedErrorPruning) {
        throw new Exception("Setting CF doesn't make sense " + "for reduced error pruning.");
      } else {
        m_CF = (new Float(confidenceString)).floatValue();
        if ((m_CF <= 0) || (m_CF >= 1)) {
          throw new Exception("CF has to be greater than zero and smaller than one!");
        }
      }
    } else {
      m_CF = 0.25f;
    }
    String numFoldsString = Utils.getOption('N', options);
    if (numFoldsString.length() != 0) {
      if (!m_reducedErrorPruning) {
        throw new Exception(
            "Setting the number of folds"
                + " does only make sense for"
                + " reduced error pruning.");
      } else {
        m_numFolds = Integer.parseInt(numFoldsString);
      }
    } else {
      m_numFolds = 3;
    }

    // Other options
    String minNumString = Utils.getOption('M', options);
    if (minNumString.length() != 0) {
      m_minNumObj = Integer.parseInt(minNumString);
    } else {
      m_minNumObj = 2;
    }
    String seedString = Utils.getOption('Q', options);
    if (seedString.length() != 0) {
      m_Seed = Integer.parseInt(seedString);
    } else {
      m_Seed = 1;
    }

    super.setOptions(options);
  }
Exemplo n.º 22
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -unset-class-temporarily
   *  Unsets the class index temporarily before the filter is
   *  applied to the data.
   *  (default: no)</pre>
   *
   * <pre> -S &lt;num&gt;
   *  The scaling factor for the output range.
   *  (default: 1.0)</pre>
   *
   * <pre> -T &lt;num&gt;
   *  The translation of the output range.
   *  (default: 0.0)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption('S', options);
    if (tmpStr.length() != 0) setScale(Double.parseDouble(tmpStr));
    else setScale(1.0);

    tmpStr = Utils.getOption('T', options);
    if (tmpStr.length() != 0) setTranslation(Double.parseDouble(tmpStr));
    else setTranslation(0.0);

    if (getInputFormat() != null) setInputFormat(getInputFormat());
  }
Exemplo n.º 23
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -D
   *  Turns on output of debugging information.</pre>
   *
   * <pre> -N &lt;double&gt;
   *  The number of attributes to randomly select.
   *  If &lt; 1 then percentage, &gt;= 1 absolute number.
   *  (default: 0.5)</pre>
   *
   * <pre> -S &lt;int&gt;
   *  The seed value.
   *  (default: 1)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption("N", options);
    if (tmpStr.length() != 0) setNumAttributes(Double.parseDouble(tmpStr));
    else setNumAttributes(0.5);

    tmpStr = Utils.getOption("S", options);
    if (tmpStr.length() != 0) setSeed(Integer.parseInt(tmpStr));
    else setSeed(1);

    super.setOptions(options);
  }
Exemplo n.º 24
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre>
   * -W &lt;classifier specification&gt;
   *  Full class name of classifier to use, followed
   *  by scheme options. eg:
   *   "weka.classifiers.bayes.NaiveBayes -D"
   *  (default: weka.classifiers.rules.ZeroR)
   * </pre>
   *
   * <pre>
   * -C &lt;class index&gt;
   *  Attribute on which misclassifications are based.
   *  If &lt; 0 will use any current set class or default to the last attribute.
   * </pre>
   *
   * <pre>
   * -F &lt;number of folds&gt;
   *  The number of folds to use for cross-validation cleansing.
   *  (&lt;2 = no cross-validation - default).
   * </pre>
   *
   * <pre>
   * -T &lt;threshold&gt;
   *  Threshold for the max error when predicting numeric class.
   *  (Value should be &gt;= 0, default = 0.1).
   * </pre>
   *
   * <pre>
   * -I
   *  The maximum number of cleansing iterations to perform.
   *  (&lt;1 = until fully cleansed - default)
   * </pre>
   *
   * <pre>
   * -V
   *  Invert the match so that correctly classified instances are discarded.
   * </pre>
   *
   * <!-- options-end -->
   *
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */
  @Override
  public void setOptions(String[] options) throws Exception {

    String classifierString = Utils.getOption('W', options);
    if (classifierString.length() == 0) {
      classifierString = weka.classifiers.rules.ZeroR.class.getName();
    }
    String[] classifierSpec = Utils.splitOptions(classifierString);
    if (classifierSpec.length == 0) {
      throw new Exception("Invalid classifier specification string");
    }
    String classifierName = classifierSpec[0];
    classifierSpec[0] = "";
    setClassifier(AbstractClassifier.forName(classifierName, classifierSpec));

    String cString = Utils.getOption('C', options);
    if (cString.length() != 0) {
      setClassIndex((new Double(cString)).intValue());
    } else {
      setClassIndex(-1);
    }

    String fString = Utils.getOption('F', options);
    if (fString.length() != 0) {
      setNumFolds((new Double(fString)).intValue());
    } else {
      setNumFolds(0);
    }

    String tString = Utils.getOption('T', options);
    if (tString.length() != 0) {
      setThreshold((new Double(tString)).doubleValue());
    } else {
      setThreshold(0.1);
    }

    String iString = Utils.getOption('I', options);
    if (iString.length() != 0) {
      setMaxIterations((new Double(iString)).intValue());
    } else {
      setMaxIterations(0);
    }

    if (Utils.getFlag('V', options)) {
      setInvert(true);
    } else {
      setInvert(false);
    }

    Utils.checkForRemainingOptions(options);
  }
Exemplo n.º 25
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  /**
   * Parses a given list of options.
   *
   * @param options the list of options as an array of strings
   * @exception Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    String optionString = Utils.getOption('N', options);

    if (optionString.length() != 0) {
      setNumClusters(Integer.parseInt(optionString));
    }

    optionString = Utils.getOption('S', options);

    if (optionString.length() != 0) {
      setSeed(Integer.parseInt(optionString));
    }
  }
Exemplo n.º 26
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  /**
   * Parses a list of options for this object. Valid options are:
   *
   * <p>-E expression <br>
   * Specify the expression to apply. Eg. a1^2*a5/log(a7*4.0).
   *
   * <p>-N name <br>
   * Specify a name for the new attribute. Default is to name it with the expression provided with
   * the -E option.
   *
   * <p>-D <br>
   * Debug. Names the attribute with the postfix parse of the expression.
   *
   * <p>
   *
   * @param options the list of options as an array of strings
   * @exception Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String expString = Utils.getOption('E', options);
    if (expString.length() != 0) {
      setExpression(expString);
    } else {
      throw new Exception("Must specify an expression with the -E option");
    }

    String name = Utils.getOption('N', options);
    if (name.length() != 0) {
      setName(name);
    }

    setDebug(Utils.getFlag('D', options));
  }
Exemplo n.º 27
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  /**
   * Parses the options for this object.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -D
   *  Turns on output of debugging information.</pre>
   *
   * <pre> -R &lt;index1,index2-index4,...&gt;
   *  Specify list of string attributes to convert to words.
   *  (default: select all relational attributes)</pre>
   *
   * <pre> -V
   *  Inverts the matching sense of the selection.</pre>
   *
   * <pre> -S &lt;CASE|NON-CASE&gt;
   *  Determines the type of sorting:
   *  CASE = Case-sensitive
   *  NON-CASE = Case-insensitive
   *  (default: CASE)</pre>
   *
   * <!-- options-end -->
   *
   * @param options the options to use
   * @throws Exception if setting of options fails
   */
  public void setOptions(String[] options) throws Exception {
    String tmpStr;

    tmpStr = Utils.getOption('R', options);
    if (tmpStr.length() != 0) setAttributeIndices(tmpStr);
    else setAttributeIndices("first-last");

    setInvertSelection(Utils.getFlag('V', options));

    tmpStr = Utils.getOption('S', options);
    if (tmpStr.length() != 0) setSortType(new SelectedTag(tmpStr, TAGS_SORTTYPE));
    else setSortType(new SelectedTag(SORT_CASESENSITIVE, TAGS_SORTTYPE));

    super.setOptions(options);
  }
Exemplo n.º 28
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  /**
   * Parses a given list of options.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -D
   *  Enables debug output.
   *  (default: off)</pre>
   *
   * <pre> -F
   *  Stores the filename in an additional attribute.
   *  (default: off)</pre>
   *
   * <pre> -dir &lt;directory&gt;
   *  The directory to work on.
   *  (default: current directory)</pre>
   *
   * <pre> -charset &lt;charset name&gt;
   *  The character set to use, e.g UTF-8.
   *  (default: use the default character set)</pre>
   *
   * <pre> -R
   *  Retain all string attribute values when reading incrementally.</pre>
   *
   * <!-- options-end -->
   *
   * @param options the options
   * @throws Exception if options cannot be set
   */
  public void setOptions(String[] options) throws Exception {
    setDebug(Utils.getFlag("D", options));

    setOutputFilename(Utils.getFlag("F", options));

    setDirectory(new File(Utils.getOption("dir", options)));

    String charSet = Utils.getOption("charset", options);
    m_charSet = "";
    if (charSet.length() > 0) {
      m_charSet = charSet;
    }

    setRetainStringValues(Utils.getFlag('R', options));
  }
Exemplo n.º 29
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  /**
   * Parses a given list of options. Valid options are:
   *
   * <p>-B classifierstring <br>
   * Classifierstring should contain the full class name of a scheme included for selection followed
   * by options to the classifier (required, option should be used once for each classifier).
   *
   * <p>
   *
   * @param options the list of options as an array of strings
   * @exception Exception if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {

    // Iterate through the schemes
    Vector classifiers = new Vector();
    while (true) {
      String classifierString = Utils.getOption('B', options);
      if (classifierString.length() == 0) {
        break;
      }
      String[] classifierSpec = Utils.splitOptions(classifierString);
      if (classifierSpec.length == 0) {
        throw new IllegalArgumentException("Invalid classifier specification string");
      }
      String classifierName = classifierSpec[0];
      classifierSpec[0] = "";
      classifiers.addElement(Classifier.forName(classifierName, classifierSpec));
    }
    if (classifiers.size() == 0) {
      classifiers.addElement(new weka.classifiers.rules.ZeroR());
    }
    Classifier[] classifiersArray = new Classifier[classifiers.size()];
    for (int i = 0; i < classifiersArray.length; i++) {
      classifiersArray[i] = (Classifier) classifiers.elementAt(i);
    }
    setClassifiers(classifiersArray);
  }
Exemplo n.º 30
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  /** Main method for testing this class. */
  public static void main(String[] options) {

    String trainFileString;
    StringBuffer text = new StringBuffer();
    PredictiveApriori apriori = new PredictiveApriori();
    Reader reader;

    try {
      text.append("\n\nPredictiveApriori options:\n\n");
      text.append("-t <training file>\n");
      text.append("\tThe name of the training file.\n");
      Enumeration enu = apriori.listOptions();
      while (enu.hasMoreElements()) {
        Option option = (Option) enu.nextElement();
        text.append(option.synopsis() + '\n');
        text.append(option.description() + '\n');
      }
      trainFileString = Utils.getOption('t', options);
      if (trainFileString.length() == 0) throw new Exception("No training file given!");
      apriori.setOptions(options);
      reader = new BufferedReader(new FileReader(trainFileString));
      apriori.buildAssociations(new Instances(reader));
      System.out.println(apriori);
    } catch (Exception e) {
      e.printStackTrace();
      System.out.println("\n" + e.getMessage() + text);
    }
  }