/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(); newVector.addElement(new Option("\tOutput additional statistics.", "additional-stats", 0, "-additional-stats")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(); newVector.addElement(new Option("\tOutput additional statistics.", "additional-stats", 0, "-additional-stats")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration<Option> listOptions() { java.util.Vector<Option> newVector = new java.util.Vector<Option>(7); newVector.addElement(new Option( "\tThe ridge parameter.\n"+ "\t(default is 1e-6)", "R", 0, "-R")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Gets an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option( "\tThe file containing the serialized model.\n" + "\t(required)", "model", 1, "-model <filename>")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options.. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { String string = "\tThe minimum number of objects in a bucket (default: 6)."; Vector<Option> newVector = new Vector<Option>(1); newVector .addElement(new Option(string, "B", 1, "-B <minimum bucket size>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(2); newVector.addElement(new Option( "\tRandom number seed.\n" + "\t(default 1)", "S", 1, "-S <num>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration<Option> listOptions() { java.util.Vector<Option> newVector = new java.util.Vector<Option>(7); newVector.addElement(new Option( "\tThe ridge parameter.\n"+ "\t(default is 1e-6)", "R", 0, "-R")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration<Option> listOptions() { java.util.Vector<Option> newVector = new java.util.Vector<Option>(7); newVector.addElement(new Option( "\tThe ridge parameter.\n"+ "\t(default is 1e-6)", "R", 0, "-R")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Gets an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option( "\tThe file containing the serialized model.\n" + "\t(required)", "model", 1, "-model <filename>")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option( "\tWhether to 0=normalize/1=standardize/2=neither. \n" + "\t(default 0=normalize)", "N", 1, "-N <num>")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(2); result.addElement(new Option( "\tWhether to 0=normalize/1=standardize/2=neither.\n" + "\t(default 1=standardize)", "N", 1, "-N <num>")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(2); newVector.addElement(new Option( "\tRandom number seed.\n" + "\t(default 1)", "S", 1, "-S <num>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options.. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { String string = "\tThe minimum number of objects in a bucket (default: 6)."; Vector<Option> newVector = new Vector<Option>(1); newVector .addElement(new Option(string, "B", 1, "-B <minimum bucket size>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(1); newVector.addElement(new Option( "\tNumber of Gaussian hidden variables.\n"+ "\t(Default = 0)", "G", 1,"-G <number of Gaussian hidden>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option("\tTurn on debugging output.", "D", 0, "-D")); result.addElement(new Option( "\tWhether to 0=normalize/1=standardize/2=neither.\n" + "\t(default 1=standardize)", "N", 1, "-N <num>")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option("\tSet the ridge in the log-likelihood.", "R", 1, "-R <ridge>")); result.addElement(new Option("\tDefines the type of algorithm:\n" + "\t 0. standard MI assumption\n" + "\t 1. collective MI assumption, arithmetic mean for posteriors\n" + "\t 2. collective MI assumption, geometric mean for posteriors", "A", 1, "-A [0|1|2]")); result.addAll(Collections.list(super.listOptions())); return result.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(4); newVector.addElement(new Option( "\tUse conjugate gradient descent rather than BFGS updates.", "C", 0, "-C")); newVector.addElement(new Option("\tSet the ridge in the log-likelihood.", "R", 1, "-R <ridge>")); newVector.addElement(new Option("\tSet the maximum number of iterations" + " (default -1, until convergence).", "M", 1, "-M <number>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(4); newVector.add(new Option("\tUse unpruned tree/rules", "N", 0, "-N")); newVector.add(new Option("\tUse unsmoothed predictions", "U", 0, "-U")); newVector.add(new Option("\tBuild regression tree/rule rather " + "than a model tree/rule", "R", 0, "-R")); newVector.add(new Option("\tSet minimum number of instances " + "per leaf\n\t(default 4)", "M", 1, "-M <minimum number of instances>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options * * @return an enumeration of all the available options */ @Override public Enumeration<Option> listOptions() { Vector<Option> newVector = new Vector<Option>(4); newVector.add(new Option("\tUse unpruned tree/rules", "N", 0, "-N")); newVector.add(new Option("\tUse unsmoothed predictions", "U", 0, "-U")); newVector.add(new Option("\tBuild regression tree/rule rather " + "than a model tree/rule", "R", 0, "-R")); newVector.add(new Option("\tSet minimum number of instances " + "per leaf\n\t(default 4)", "M", 1, "-M <minimum number of instances>")); newVector.addAll(Collections.list(super.listOptions())); return newVector.elements(); }
/** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration listOptions() { Vector result = new Vector(); result.addElement(new Option( "\tThe MOA classifier to use.\n" + "\t(default: " + MOAUtils.toCommandLine(new DecisionStump()) + ")", "B", 1, "-B <classname + options>")); Enumeration en = super.listOptions(); while (en.hasMoreElements()) result.addElement(en.nextElement()); return result.elements(); }