/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -C <col>
* Sets the attribute index (default last).
* </pre>
*
* <pre>
* -F <value index>
* Sets the first value's index (default first).
* </pre>
*
* <pre>
* -S <value index>
* 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
*/
@Override
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());
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -R <col1,col2-col4,...>
* 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 <integer>
* 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);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -B <num>
* Manual blend setting (default 20%)
* </pre>
*
* <pre> -E
* Enable entropic auto-blend setting (symbolic class only)
* </pre>
*
* <pre> -M <char>
* 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> -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 <numIterations>
* Set fixed number of iterations for LogitBoost (instead of using cross-validation)</pre>
*
* <pre> -F <modelType>
* Set Funtional Tree type to be generate: 0 for FT, 1 for FTLeaves and 2 for FTInner</pre>
*
* <pre> -M <numInstances>
* Set minimum number of instances at which a node can be split (default 15)</pre>
*
* <pre> -W <beta>
* 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);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -N
* Sets if binary attributes are to be coded as nominal ones.
* </pre>
*
* <pre>
* -A
* For each nominal value a new attribute is created,
* not only if there are more than 2 values.
* </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 {
setBinaryAttributesNominal(Utils.getFlag('N', options));
setTransformAllValues(Utils.getFlag('A', options));
if (getInputFormat() != null) {
setInputFormat(getInputFormat());
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -C
* Don't weight voting intervals by confidence</pre>
*
* <pre> -B <bias>
* Set exponential bias towards confident intervals
* (default = 1.0)</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 optionString;
setWeightByConfidence(!Utils.getFlag('C', options));
optionString = Utils.getOption('B', options);
if (optionString.length() != 0) {
Double temp = new Double(optionString);
setBias(temp.doubleValue());
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -W <classifier specification>
* 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 <class index>
* Attribute on which misclassifications are based.
* If < 0 will use any current set class or default to the last attribute.
* </pre>
*
* <pre>
* -F <number of folds>
* The number of folds to use for cross-validation cleansing.
* (<2 = no cross-validation - default).
* </pre>
*
* <pre>
* -T <threshold>
* Threshold for the max error when predicting numeric class.
* (Value should be >= 0, default = 0.1).
* </pre>
*
* <pre>
* -I
* The maximum number of cleansing iterations to perform.
* (<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);
}
/**
* Parses the options for this object.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -i <the input file>
* The input file
* </pre>
*
* <pre>
* -o <the output file>
* The output file
* </pre>
*
* <pre>
* -c <class index>
* The class index
* (default: last)
* </pre>
*
* <!-- options-end -->
*
* @param options the options to use
* @throws Exception if setting of options fails
*/
@Override
public void setOptions(String[] options) throws Exception {
String tmpStr;
tmpStr = Utils.getOption('c', options);
if (tmpStr.length() != 0) {
setClassIndex(tmpStr);
} else {
setClassIndex("last");
}
super.setOptions(options);
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -R
* Attributes to act on. Can be either a range
* string (e.g. 1,2,6-10) OR a comma-separated list of named attributes
* (default none)
* </pre>
*
* <pre>
* -V
* Invert matching sense (i.e. act on all attributes other than those specified)
* </pre>
*
* <pre>
* -N
* Nominal labels and their replacement values.
* E.g. red:blue, black:white, fred:bob
* </pre>
*
* <pre>
* -I
* Ignore case when matching nominal values
* </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 atts = Utils.getOption('R', options);
if (atts.length() > 0) {
setSelectedAttributes(atts);
}
String replacements = Utils.getOption('N', options);
if (replacements.length() > 0) {
setValueReplacements(replacements);
}
setInvertSelection(Utils.getFlag('V', options));
setIgnoreCase(Utils.getFlag('I', options));
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -P <start set>
* Specify a starting set of attributes.
* Eg. 1,3,5-7.If supplied, the starting set becomes
* one member of the initial random
* population.
* </pre>
*
* <pre>
* -Z <population size>
* Set the size of the population (even number).
* (default = 20).
* </pre>
*
* <pre>
* -G <number of generations>
* Set the number of generations.
* (default = 20)
* </pre>
*
* <pre>
* -C <probability of crossover>
* Set the probability of crossover.
* (default = 0.6)
* </pre>
*
* <pre>
* -M <probability of mutation>
* Set the probability of mutation.
* (default = 0.033)
* </pre>
*
* <pre>
* -R <report frequency>
* Set frequency of generation reports.
* e.g, setting the value to 5 will
* report every 5th generation
* (default = number of generations)
* </pre>
*
* <pre>
* -S <seed>
* Set 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
*/
@Override
public void setOptions(String[] options) throws Exception {
String optionString;
resetOptions();
optionString = Utils.getOption('P', options);
if (optionString.length() != 0) {
setStartSet(optionString);
}
optionString = Utils.getOption('Z', options);
if (optionString.length() != 0) {
setPopulationSize(Integer.parseInt(optionString));
}
optionString = Utils.getOption('G', options);
if (optionString.length() != 0) {
setMaxGenerations(Integer.parseInt(optionString));
setReportFrequency(Integer.parseInt(optionString));
}
optionString = Utils.getOption('C', options);
if (optionString.length() != 0) {
setCrossoverProb((new Double(optionString)).doubleValue());
}
optionString = Utils.getOption('M', options);
if (optionString.length() != 0) {
setMutationProb((new Double(optionString)).doubleValue());
}
optionString = Utils.getOption('R', options);
if (optionString.length() != 0) {
setReportFrequency(Integer.parseInt(optionString));
}
optionString = Utils.getOption('S', options);
if (optionString.length() != 0) {
setSeed(Integer.parseInt(optionString));
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -S <num>
* Specify the random number seed (default 1)
* </pre>
*
* <pre>
* -Z <num>
* The size of the output dataset - number of instances
* (default 100)
* </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 tmpStr = Utils.getOption('S', options);
if (tmpStr.length() != 0) {
setRandomSeed(Integer.parseInt(tmpStr));
} else {
setRandomSeed(1);
}
tmpStr = Utils.getOption('Z', options);
if (tmpStr.length() != 0) {
setSampleSize(Integer.parseInt(tmpStr));
} else {
setSampleSize(100);
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -C <double>
* The complexity constant C.
* (default 1)</pre>
*
* <pre> -N
* Whether to 0=normalize/1=standardize/2=neither.
* (default 0=normalize)</pre>
*
* <pre> -I <classname and parameters>
* Optimizer class used for solving quadratic optimization problem
* (default weka.classifiers.functions.supportVector.RegSMOImproved)</pre>
*
* <pre> -K <classname and parameters>
* The Kernel to use.
* (default: weka.classifiers.functions.supportVector.PolyKernel)</pre>
*
* <pre>
* Options specific to optimizer ('-I') weka.classifiers.functions.supportVector.RegSMOImproved:
* </pre>
*
* <pre> -T <double>
* The tolerance parameter for checking the stopping criterion.
* (default 0.001)</pre>
*
* <pre> -V
* Use variant 1 of the algorithm when true, otherwise use variant 2.
* (default true)</pre>
*
* <pre> -P <double>
* The epsilon for round-off error.
* (default 1.0e-12)</pre>
*
* <pre> -L <double>
* The epsilon parameter in epsilon-insensitive loss function.
* (default 1.0e-3)</pre>
*
* <pre> -W <double>
* The random number seed.
* (default 1)</pre>
*
* <pre>
* Options specific to kernel ('-K') weka.classifiers.functions.supportVector.PolyKernel:
* </pre>
*
* <pre> -D
* Enables debugging output (if available) to be printed.
* (default: off)</pre>
*
* <pre> -no-checks
* Turns off all checks - use with caution!
* (default: checks on)</pre>
*
* <pre> -C <num>
* The size of the cache (a prime number), 0 for full cache and
* -1 to turn it off.
* (default: 250007)</pre>
*
* <pre> -E <num>
* The Exponent to use.
* (default: 1.0)</pre>
*
* <pre> -L
* Use lower-order terms.
* (default: no)</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;
String[] tmpOptions;
tmpStr = Utils.getOption('C', options);
if (tmpStr.length() != 0) {
setC(Double.parseDouble(tmpStr));
} else {
setC(1.0);
}
String nString = Utils.getOption('N', options);
if (nString.length() != 0) {
setFilterType(new SelectedTag(Integer.parseInt(nString), TAGS_FILTER));
} else {
setFilterType(new SelectedTag(FILTER_NORMALIZE, TAGS_FILTER));
}
tmpStr = Utils.getOption('I', options);
tmpOptions = Utils.splitOptions(tmpStr);
if (tmpOptions.length != 0) {
tmpStr = tmpOptions[0];
tmpOptions[0] = "";
setRegOptimizer((RegOptimizer) Utils.forName(RegOptimizer.class, tmpStr, tmpOptions));
} else {
setRegOptimizer(new RegSMOImproved());
}
tmpStr = Utils.getOption('K', options);
tmpOptions = Utils.splitOptions(tmpStr);
if (tmpOptions.length != 0) {
tmpStr = tmpOptions[0];
tmpOptions[0] = "";
setKernel(Kernel.forName(tmpStr, tmpOptions));
} else {
setKernel(new PolyKernel());
}
super.setOptions(options);
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -I
* Weight neighbours by the inverse of their distance
* (use when k > 1)
* </pre>
*
* <pre>
* -F
* Weight neighbours by 1 - their distance
* (use when k > 1)
* </pre>
*
* <pre>
* -K <number of neighbors>
* Number of nearest neighbours (k) used in classification.
* (Default = 1)
* </pre>
*
* <pre>
* -E
* Minimise mean squared error rather than mean absolute
* error when using -X option with numeric prediction.
* </pre>
*
* <pre>
* -W <window size>
* Maximum number of training instances maintained.
* Training instances are dropped FIFO. (Default = no window)
* </pre>
*
* <pre>
* -X
* Select the number of nearest neighbours between 1
* and the k value specified using hold-one-out evaluation
* on the training data (use when k > 1)
* </pre>
*
* <pre>
* -A
* The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).
* </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 windowString = Utils.getOption('W', options);
if (windowString.length() != 0) {
setWindowSize(Integer.parseInt(windowString));
} else {
setWindowSize(0);
}
if (Utils.getFlag('I', options)) {
setDistanceWeighting(new SelectedTag(WEIGHT_INVERSE, TAGS_WEIGHTING));
} else if (Utils.getFlag('F', options)) {
setDistanceWeighting(new SelectedTag(WEIGHT_SIMILARITY, TAGS_WEIGHTING));
} else {
setDistanceWeighting(new SelectedTag(WEIGHT_NONE, TAGS_WEIGHTING));
}
setCrossValidate(Utils.getFlag('X', options));
setMeanSquared(Utils.getFlag('E', options));
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());
Utils.checkForRemainingOptions(options);
}
/**
* Test the class from the command line. The instance query should be specified with -Q sql_query
*
* @param args contains options for the instance query
*/
public static void main(String args[]) {
try {
InstanceQuery iq = new InstanceQuery();
String query = Utils.getOption('Q', args);
if (query.length() == 0) {
iq.setQuery("select * from Experiment_index");
} else {
iq.setQuery(query);
}
iq.setOptions(args);
try {
Utils.checkForRemainingOptions(args);
} catch (Exception e) {
System.err.println("Options for weka.experiment.InstanceQuery:\n");
Enumeration en = iq.listOptions();
while (en.hasMoreElements()) {
Option o = (Option) en.nextElement();
System.err.println(o.synopsis() + "\n" + o.description());
}
System.exit(1);
}
Instances aha = iq.retrieveInstances();
iq.disconnectFromDatabase();
// query returned no result -> exit
if (aha == null) return;
// The dataset may be large, so to make things easier we'll
// output an instance at a time (rather than having to convert
// the entire dataset to one large string)
System.out.println(new Instances(aha, 0));
for (int i = 0; i < aha.numInstances(); i++) {
System.out.println(aha.instance(i));
}
} catch (Exception e) {
e.printStackTrace();
System.err.println(e.getMessage());
}
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -C <col>
* Sets the attribute index (default last).
* </pre>
*
* <pre>
* -F <value index>
* Sets the output date format string (default corresponds to ISO-8601).
* </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 attIndex = Utils.getOption('C', options);
if (attIndex.length() != 0) {
setAttributeIndex(attIndex);
} else {
setAttributeIndex("last");
}
String formatString = Utils.getOption('F', options);
if (formatString.length() != 0) {
setDateFormat(formatString);
} else {
setDateFormat(DEFAULT_FORMAT);
}
if (getInputFormat() != null) {
setInputFormat(getInputFormat());
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -D
* Turn on debugging output.
* </pre>
*
* <pre>
* -R <ridge>
* Set the ridge in the log-likelihood.
* </pre>
*
* <pre>
* -M <number>
* Set the maximum number of iterations (default -1, until convergence).
* </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 {
setUseConjugateGradientDescent(Utils.getFlag('C', options));
String ridgeString = Utils.getOption('R', options);
if (ridgeString.length() != 0) {
m_Ridge = Double.parseDouble(ridgeString);
} else {
m_Ridge = 1.0e-8;
}
String maxItsString = Utils.getOption('M', options);
if (maxItsString.length() != 0) {
m_MaxIts = Integer.parseInt(maxItsString);
} else {
m_MaxIts = -1;
}
super.setOptions(options);
Utils.checkForRemainingOptions(options);
}
/**
* Test method for this class
*
* @param args the command line arguments
*/
public static void main(String[] args) {
try {
BVDecompose bvd = new BVDecompose();
try {
bvd.setOptions(args);
Utils.checkForRemainingOptions(args);
} catch (Exception ex) {
String result = ex.getMessage() + "\nBVDecompose Options:\n\n";
Enumeration<Option> enu = bvd.listOptions();
while (enu.hasMoreElements()) {
Option option = (Option) enu.nextElement();
result += option.synopsis() + "\n" + option.description() + "\n";
}
throw new Exception(result);
}
bvd.decompose();
System.out.println(bvd.toString());
} catch (Exception ex) {
System.err.println(ex.getMessage());
}
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -W
* Use word frequencies instead of binary bag of words.
* </pre>
*
* <pre>
* -P <# instances>
* How often to prune the dictionary of low frequency words (default = 0, i.e. don't prune)
* </pre>
*
* <pre>
* -M <double>
* Minimum word frequency. Words with less than this frequence are ignored.
* If periodic pruning is turned on then this is also used to determine which
* words to remove from the dictionary (default = 3).
* </pre>
*
* <pre>
* -normalize
* Normalize document length (use in conjunction with -norm and -lnorm)
* </pre>
*
* <pre>
* -norm <num>
* Specify the norm that each instance must have (default 1.0)
* </pre>
*
* <pre>
* -lnorm <num>
* Specify L-norm to use (default 2.0)
* </pre>
*
* <pre>
* -lowercase
* Convert all tokens to lowercase before adding to the dictionary.
* </pre>
*
* <pre>
* -stoplist
* Ignore words that are in the stoplist.
* </pre>
*
* <pre>
* -stopwords <file>
* A file containing stopwords to override the default ones.
* Using this option automatically sets the flag ('-stoplist') to use the
* stoplist if the file exists.
* Format: one stopword per line, lines starting with '#'
* are interpreted as comments and ignored.
* </pre>
*
* <pre>
* -tokenizer <spec>
* The tokenizing algorihtm (classname plus parameters) to use.
* (default: weka.core.tokenizers.WordTokenizer)
* </pre>
*
* <pre>
* -stemmer <spec>
* The stemmering algorihtm (classname plus parameters) to use.
* </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 {
reset();
super.setOptions(options);
setUseWordFrequencies(Utils.getFlag("W", options));
String pruneFreqS = Utils.getOption("P", options);
if (pruneFreqS.length() > 0) {
setPeriodicPruning(Integer.parseInt(pruneFreqS));
}
String minFreq = Utils.getOption("M", options);
if (minFreq.length() > 0) {
setMinWordFrequency(Double.parseDouble(minFreq));
}
setNormalizeDocLength(Utils.getFlag("normalize", options));
String normFreqS = Utils.getOption("norm", options);
if (normFreqS.length() > 0) {
setNorm(Double.parseDouble(normFreqS));
}
String lnormFreqS = Utils.getOption("lnorm", options);
if (lnormFreqS.length() > 0) {
setLNorm(Double.parseDouble(lnormFreqS));
}
setLowercaseTokens(Utils.getFlag("lowercase", options));
setUseStopList(Utils.getFlag("stoplist", options));
String stopwordsS = Utils.getOption("stopwords", options);
if (stopwordsS.length() > 0) {
setStopwords(new File(stopwordsS));
} else {
setStopwords(null);
}
String tokenizerString = Utils.getOption("tokenizer", options);
if (tokenizerString.length() == 0) {
setTokenizer(new WordTokenizer());
} else {
String[] tokenizerSpec = Utils.splitOptions(tokenizerString);
if (tokenizerSpec.length == 0) {
throw new Exception("Invalid tokenizer specification string");
}
String tokenizerName = tokenizerSpec[0];
tokenizerSpec[0] = "";
Tokenizer tokenizer = (Tokenizer) Class.forName(tokenizerName).newInstance();
if (tokenizer instanceof OptionHandler) {
((OptionHandler) tokenizer).setOptions(tokenizerSpec);
}
setTokenizer(tokenizer);
}
String stemmerString = Utils.getOption("stemmer", options);
if (stemmerString.length() == 0) {
setStemmer(null);
} else {
String[] stemmerSpec = Utils.splitOptions(stemmerString);
if (stemmerSpec.length == 0) {
throw new Exception("Invalid stemmer specification string");
}
String stemmerName = stemmerSpec[0];
stemmerSpec[0] = "";
Stemmer stemmer = (Stemmer) Class.forName(stemmerName).newInstance();
if (stemmer instanceof OptionHandler) {
((OptionHandler) stemmer).setOptions(stemmerSpec);
}
setStemmer(stemmer);
}
Utils.checkForRemainingOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre>
* -D
* Turns on output of debugging information.
* </pre>
*
* <pre>
* -min <double>
* The minimum threshold. (default -Double.MAX_VALUE)
* </pre>
*
* <pre>
* -min-default <double>
* The replacement for values smaller than the minimum threshold.
* (default -Double.MAX_VALUE)
* </pre>
*
* <pre>
* -max <double>
* The maximum threshold. (default Double.MAX_VALUE)
* </pre>
*
* <pre>
* -max-default <double>
* The replacement for values larger than the maximum threshold.
* (default Double.MAX_VALUE)
* </pre>
*
* <pre>
* -closeto <double>
* The number values are checked for closeness. (default 0)
* </pre>
*
* <pre>
* -closeto-default <double>
* The replacement for values that are close to '-closeto'.
* (default 0)
* </pre>
*
* <pre>
* -closeto-tolerance <double>
* The tolerance below which numbers are considered being close to
* to each other. (default 1E-6)
* </pre>
*
* <pre>
* -decimals <int>
* The number of decimals to round to, -1 means no rounding at all.
* (default -1)
* </pre>
*
* <pre>
* -R <col1,col2,...>
* The list of columns to cleanse, e.g., first-last or first-3,5-last.
* (default first-last)
* </pre>
*
* <pre>
* -V
* Inverts the matching sense.
* </pre>
*
* <pre>
* -include-class
* Whether to include the class in the cleansing.
* The class column will always be skipped, if this flag is not
* present. (default no)
* </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 tmpStr = Utils.getOption("min", options);
if (tmpStr.length() != 0) {
setMinThreshold(Double.parseDouble(tmpStr));
} else {
setMinThreshold(-Double.MAX_VALUE);
}
tmpStr = Utils.getOption("min-default", options);
if (tmpStr.length() != 0) {
setMinDefault(Double.parseDouble(tmpStr));
} else {
setMinDefault(-Double.MAX_VALUE);
}
tmpStr = Utils.getOption("max", options);
if (tmpStr.length() != 0) {
setMaxThreshold(Double.parseDouble(tmpStr));
} else {
setMaxThreshold(Double.MAX_VALUE);
}
tmpStr = Utils.getOption("max-default", options);
if (tmpStr.length() != 0) {
setMaxDefault(Double.parseDouble(tmpStr));
} else {
setMaxDefault(Double.MAX_VALUE);
}
tmpStr = Utils.getOption("closeto", options);
if (tmpStr.length() != 0) {
setCloseTo(Double.parseDouble(tmpStr));
} else {
setCloseTo(0);
}
tmpStr = Utils.getOption("closeto-default", options);
if (tmpStr.length() != 0) {
setCloseToDefault(Double.parseDouble(tmpStr));
} else {
setCloseToDefault(0);
}
tmpStr = Utils.getOption("closeto-tolerance", options);
if (tmpStr.length() != 0) {
setCloseToTolerance(Double.parseDouble(tmpStr));
} else {
setCloseToTolerance(1E-6);
}
tmpStr = Utils.getOption("R", options);
if (tmpStr.length() != 0) {
setAttributeIndices(tmpStr);
} else {
setAttributeIndices("first-last");
}
setInvertSelection(Utils.getFlag("V", options));
setIncludeClass(Utils.getFlag("include-class", options));
tmpStr = Utils.getOption("decimals", options);
if (tmpStr.length() != 0) {
setDecimals(Integer.parseInt(tmpStr));
} else {
setDecimals(-1);
}
super.setOptions(options);
Utils.checkForRemainingOptions(options);
}
/**
* Method for testing filters.
*
* @param filter the filter to use
* @param options should contain the following arguments: <br>
* -i input_file <br>
* -o output_file <br>
* -c class_index <br>
* -z classname (for filters implementing weka.filters.Sourcable) <br>
* or -h for help on options
* @throws Exception if something goes wrong or the user requests help on command options
*/
public static void filterFile(Filter filter, String[] options) throws Exception {
boolean debug = false;
Instances data = null;
DataSource input = null;
PrintWriter output = null;
boolean helpRequest;
String sourceCode = "";
try {
helpRequest = Utils.getFlag('h', options);
if (Utils.getFlag('d', options)) {
debug = true;
}
String infileName = Utils.getOption('i', options);
String outfileName = Utils.getOption('o', options);
String classIndex = Utils.getOption('c', options);
if (filter instanceof Sourcable) sourceCode = Utils.getOption('z', options);
if (filter instanceof OptionHandler) {
((OptionHandler) filter).setOptions(options);
}
Utils.checkForRemainingOptions(options);
if (helpRequest) {
throw new Exception("Help requested.\n");
}
if (infileName.length() != 0) {
input = new DataSource(infileName);
} else {
input = new DataSource(System.in);
}
if (outfileName.length() != 0) {
output = new PrintWriter(new FileOutputStream(outfileName));
} else {
output = new PrintWriter(System.out);
}
data = input.getStructure();
if (classIndex.length() != 0) {
if (classIndex.equals("first")) {
data.setClassIndex(0);
} else if (classIndex.equals("last")) {
data.setClassIndex(data.numAttributes() - 1);
} else {
data.setClassIndex(Integer.parseInt(classIndex) - 1);
}
}
} catch (Exception ex) {
String filterOptions = "";
// Output the error and also the valid options
if (filter instanceof OptionHandler) {
filterOptions += "\nFilter options:\n\n";
Enumeration enu = ((OptionHandler) filter).listOptions();
while (enu.hasMoreElements()) {
Option option = (Option) enu.nextElement();
filterOptions += option.synopsis() + '\n' + option.description() + "\n";
}
}
String genericOptions =
"\nGeneral options:\n\n"
+ "-h\n"
+ "\tGet help on available options.\n"
+ "\t(use -b -h for help on batch mode.)\n"
+ "-i <file>\n"
+ "\tThe name of the file containing input instances.\n"
+ "\tIf not supplied then instances will be read from stdin.\n"
+ "-o <file>\n"
+ "\tThe name of the file output instances will be written to.\n"
+ "\tIf not supplied then instances will be written to stdout.\n"
+ "-c <class index>\n"
+ "\tThe number of the attribute to use as the class.\n"
+ "\t\"first\" and \"last\" are also valid entries.\n"
+ "\tIf not supplied then no class is assigned.\n";
if (filter instanceof Sourcable) {
genericOptions +=
"-z <class name>\n" + "\tOutputs the source code representing the trained filter.\n";
}
throw new Exception('\n' + ex.getMessage() + filterOptions + genericOptions);
}
if (debug) {
System.err.println("Setting input format");
}
boolean printedHeader = false;
if (filter.setInputFormat(data)) {
if (debug) {
System.err.println("Getting output format");
}
output.println(filter.getOutputFormat().toString());
printedHeader = true;
}
// Pass all the instances to the filter
Instance inst;
while (input.hasMoreElements(data)) {
inst = input.nextElement(data);
if (debug) {
System.err.println("Input instance to filter");
}
if (filter.input(inst)) {
if (debug) {
System.err.println("Filter said collect immediately");
}
if (!printedHeader) {
throw new Error("Filter didn't return true from setInputFormat() " + "earlier!");
}
if (debug) {
System.err.println("Getting output instance");
}
output.println(filter.output().toString());
}
}
// Say that input has finished, and print any pending output instances
if (debug) {
System.err.println("Setting end of batch");
}
if (filter.batchFinished()) {
if (debug) {
System.err.println("Filter said collect output");
}
if (!printedHeader) {
if (debug) {
System.err.println("Getting output format");
}
output.println(filter.getOutputFormat().toString());
}
if (debug) {
System.err.println("Getting output instance");
}
while (filter.numPendingOutput() > 0) {
output.println(filter.output().toString());
if (debug) {
System.err.println("Getting output instance");
}
}
}
if (debug) {
System.err.println("Done");
}
if (output != null) {
output.close();
}
if (sourceCode.length() != 0)
System.out.println(
wekaStaticWrapper((Sourcable) filter, sourceCode, data, filter.getOutputFormat()));
}
/**
* Configures/Runs the Experiment from the command line.
*
* @param args command line arguments to the Experiment.
*/
public static void main(String[] args) {
try {
weka.core.WekaPackageManager.loadPackages(false, true, false);
RemoteExperiment exp = null;
// get options from XML?
String xmlOption = Utils.getOption("xml", args);
if (!xmlOption.equals("")) {
args = new XMLOptions(xmlOption).toArray();
}
Experiment base = null;
String expFile = Utils.getOption('l', args);
String saveFile = Utils.getOption('s', args);
boolean runExp = Utils.getFlag('r', args);
ArrayList<String> remoteHosts = new ArrayList<String>();
String runHost = " ";
while (runHost.length() != 0) {
runHost = Utils.getOption('h', args);
if (runHost.length() != 0) {
remoteHosts.add(runHost);
}
}
if (expFile.length() == 0) {
base = new Experiment();
try {
base.setOptions(args);
Utils.checkForRemainingOptions(args);
} catch (Exception ex) {
ex.printStackTrace();
String result =
"Usage:\n\n"
+ "-l <exp file>\n"
+ "\tLoad experiment from file (default use cli options)\n"
+ "-s <exp file>\n"
+ "\tSave experiment to file after setting other options\n"
+ "\t(default don't save)\n"
+ "-h <remote host name>\n"
+ "\tHost to run experiment on (may be specified more than once\n"
+ "\tfor multiple remote hosts)\n"
+ "-r \n"
+ "\tRun experiment on (default don't run)\n"
+ "-xml <filename | xml-string>\n"
+ "\tget options from XML-Data instead from parameters\n"
+ "\n";
Enumeration<Option> enm = ((OptionHandler) base).listOptions();
while (enm.hasMoreElements()) {
Option option = enm.nextElement();
result += option.synopsis() + "\n";
result += option.description() + "\n";
}
throw new Exception(result + "\n" + ex.getMessage());
}
} else {
Object tmp;
// KOML?
if ((KOML.isPresent()) && (expFile.toLowerCase().endsWith(KOML.FILE_EXTENSION))) {
tmp = KOML.read(expFile);
} else
// XML?
if (expFile.toLowerCase().endsWith(".xml")) {
XMLExperiment xml = new XMLExperiment();
tmp = xml.read(expFile);
}
// binary
else {
FileInputStream fi = new FileInputStream(expFile);
ObjectInputStream oi = new ObjectInputStream(new BufferedInputStream(fi));
tmp = oi.readObject();
oi.close();
}
if (tmp instanceof RemoteExperiment) {
exp = (RemoteExperiment) tmp;
} else {
base = (Experiment) tmp;
}
}
if (base != null) {
exp = new RemoteExperiment(base);
}
for (int i = 0; i < remoteHosts.size(); i++) {
exp.addRemoteHost(remoteHosts.get(i));
}
System.err.println("Experiment:\n" + exp.toString());
if (saveFile.length() != 0) {
// KOML?
if ((KOML.isPresent()) && (saveFile.toLowerCase().endsWith(KOML.FILE_EXTENSION))) {
KOML.write(saveFile, exp);
} else
// XML?
if (saveFile.toLowerCase().endsWith(".xml")) {
XMLExperiment xml = new XMLExperiment();
xml.write(saveFile, exp);
}
// binary
else {
FileOutputStream fo = new FileOutputStream(saveFile);
ObjectOutputStream oo = new ObjectOutputStream(new BufferedOutputStream(fo));
oo.writeObject(exp);
oo.close();
}
}
if (runExp) {
System.err.println("Initializing...");
exp.initialize();
System.err.println("Iterating...");
exp.runExperiment();
System.err.println("Postprocessing...");
exp.postProcess();
}
} catch (Exception ex) {
ex.printStackTrace();
System.err.println(ex.getMessage());
}
}
/**
* 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>-v "vocabulary name" <br>
* Specifies vocabulary name.
*
* <p>-f "vocabulary format" <br>
* Specifies vocabulary format.
*
* <p>-i "document language" <br>
* Specifies document language.
*
* <p>-e "encoding" <br>
* Specifies encoding.
*
* <p>-w "WikipediaDatabase@WikipediaServer" <br>
* Specifies wikipedia data.
*
* <p>-d<br>
* Turns debugging mode on.
*
* <p>-x "length"<br>
* Sets maximum phrase length (default: 3).
*
* <p>-y "length"<br>
* Sets minimum phrase length (default: 3).
*
* <p>-o "number"<br>
* The minimum number of times a phrase needs to occur (default: 2).
*
* <p>-s "name of class implementing list of stop words"<br>
* Sets list of stop words to used (default: StopwordsEnglish).
*
* <p>-t "name of class implementing stemmer"<br>
* Sets stemmer to use (default: IteratedLovinsStemmer).
*
* <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 vocabularyName = Utils.getOption('v', options);
if (vocabularyName.length() > 0) {
setVocabularyName(vocabularyName);
}
String vocabularyFormat = Utils.getOption('f', options);
if (!getVocabularyName().equals("none") && !getVocabularyName().equals("wikipedia")) {
if (vocabularyFormat.length() > 0) {
if (vocabularyFormat.equals("skos") || vocabularyFormat.equals("text")) {
setVocabularyFormat(vocabularyFormat);
} else {
throw new Exception(
"Unsupported format of vocabulary. It should be either \"skos\" or \"text\".");
}
} else {
setVocabularyFormat(null);
throw new Exception(
"If a controlled vocabulary is used, format of vocabulary required argument (skos or text).");
}
} else {
setVocabularyFormat(null);
}
String encoding = Utils.getOption('e', options);
if (encoding.length() > 0) {
setEncoding(encoding);
} else {
setEncoding("default");
}
String wikipediaConnection = Utils.getOption('w', options);
if (wikipediaConnection.length() > 0) {
setWikipediaConnection(wikipediaConnection);
}
String documentLanguage = Utils.getOption('i', options);
if (documentLanguage.length() > 0) {
setDocumentLanguage(documentLanguage);
} else {
setDocumentLanguage("en");
}
String maxPhraseLengthString = Utils.getOption('x', options);
if (maxPhraseLengthString.length() > 0) {
setMaxPhraseLength(Integer.parseInt(maxPhraseLengthString));
} else {
setMaxPhraseLength(5);
}
String minPhraseLengthString = Utils.getOption('y', options);
if (minPhraseLengthString.length() > 0) {
setMinPhraseLength(Integer.parseInt(minPhraseLengthString));
} else {
setMinPhraseLength(1);
}
String minNumOccurString = Utils.getOption('o', options);
if (minNumOccurString.length() > 0) {
setMinNumOccur(Integer.parseInt(minNumOccurString));
} else {
setMinNumOccur(2);
}
String stopwordsString = Utils.getOption('s', options);
if (stopwordsString.length() > 0) {
stopwordsString = "kea.stopwords.".concat(stopwordsString);
setStopwords((Stopwords) Class.forName(stopwordsString).newInstance());
}
String stemmerString = Utils.getOption('t', options);
if (stemmerString.length() > 0) {
stemmerString = "kea.stemmers.".concat(stemmerString);
setStemmer((Stemmer) Class.forName(stemmerString).newInstance());
}
setDebug(Utils.getFlag('d', options));
Utils.checkForRemainingOptions(options);
}
