コード例 #1
0
ファイル: Wavelet.java プロジェクト: dachylong/weka
  /**
   * 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);
    }
  }
コード例 #2
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: first-last)</pre>
   *
   * <pre> -V
   *  Invert matching sense of column indexes.</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;

    super.setOptions(options);

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

    tmpStr = Utils.getOption('R', options);
    if (tmpStr.length() != 0) setAttributeIndices(tmpStr);
    else setAttributeIndices(m_DefaultCols);

    if (getInputFormat() != null) setInputFormat(getInputFormat());
  }
コード例 #3
0
ファイル: InterquartileRange.java プロジェクト: ngphloc/zebra
  /**
   * Parses a list of options for this object.
   *
   * <p>
   * <!-- options-start -->
   * Valid options are:
   *
   * <p>
   *
   * <pre> -D
   *  Turns on output of debugging information.</pre>
   *
   * <pre> -R &lt;col1,col2-col4,...&gt;
   *  Specifies list of columns to base outlier/extreme value detection
   *  on. If an instance is considered in at least one of those
   *  attributes an outlier/extreme value, it is tagged accordingly.
   *  'first' and 'last' are valid indexes.
   *  (default none)</pre>
   *
   * <pre> -O &lt;num&gt;
   *  The factor for outlier detection.
   *  (default: 3)</pre>
   *
   * <pre> -E &lt;num&gt;
   *  The factor for extreme values detection.
   *  (default: 2*Outlier Factor)</pre>
   *
   * <pre> -E-as-O
   *  Tags extreme values also as outliers.
   *  (default: off)</pre>
   *
   * <pre> -P
   *  Generates Outlier/ExtremeValue pair for each numeric attribute in
   *  the range, not just a single indicator pair for all the attributes.
   *  (default: off)</pre>
   *
   * <pre> -M
   *  Generates an additional attribute 'Offset' per Outlier/ExtremeValue
   *  pair that contains the multiplier that the value is off the median.
   *     value = median + 'multiplier' * IQR
   * Note: implicitely sets '-P'. (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;

    super.setOptions(options);

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

    tmpStr = Utils.getOption("O", options);
    if (tmpStr.length() != 0) setOutlierFactor(Double.parseDouble(tmpStr));
    else setOutlierFactor(3);

    tmpStr = Utils.getOption("E", options);
    if (tmpStr.length() != 0) setExtremeValuesFactor(Double.parseDouble(tmpStr));
    else setExtremeValuesFactor(2 * getOutlierFactor());

    setExtremeValuesAsOutliers(Utils.getFlag("E-as-O", options));

    setDetectionPerAttribute(Utils.getFlag("P", options));

    setOutputOffsetMultiplier(Utils.getFlag("M", options));
  }