private Map<String,List<String>> handleArgs(String[] args) throws IOException { addOutputOption(); addOption("eigenInput", "ei", "The Path for purported eigenVector input files (SequenceFile<WritableComparable,VectorWritable>.", null); addOption("corpusInput", "ci", "The Path for corpus input files (SequenceFile<WritableComparable,VectorWritable>."); addOption(DefaultOptionCreator.outputOption().create()); addOption(DefaultOptionCreator.helpOption()); addOption("inMemory", "mem", "Buffer eigen matrix into memory (if you have enough!)", "false"); addOption("maxError", "err", "Maximum acceptable error", "0.05"); addOption("minEigenvalue", "mev", "Minimum eigenvalue to keep the vector for", "0.0"); addOption("maxEigens", "max", "Maximum number of eigenvectors to keep (0 means all)", "0"); return parseArguments(args); }
private Map<String,List<String>> handleArgs(String[] args) throws IOException { addOutputOption(); addOption("eigenInput", "ei", "The Path for purported eigenVector input files (SequenceFile<WritableComparable,VectorWritable>.", null); addOption("corpusInput", "ci", "The Path for corpus input files (SequenceFile<WritableComparable,VectorWritable>."); addOption(DefaultOptionCreator.outputOption().create()); addOption(DefaultOptionCreator.helpOption()); addOption("inMemory", "mem", "Buffer eigen matrix into memory (if you have enough!)", "false"); addOption("maxError", "err", "Maximum acceptable error", "0.05"); addOption("minEigenvalue", "mev", "Minimum eigenvalue to keep the vector for", "0.0"); addOption("maxEigens", "max", "Maximum number of eigenvectors to keep (0 means all)", "0"); return parseArguments(args); }
private Map<String,List<String>> handleArgs(String[] args) throws IOException { addOutputOption(); addOption("eigenInput", "ei", "The Path for purported eigenVector input files (SequenceFile<WritableComparable,VectorWritable>.", null); addOption("corpusInput", "ci", "The Path for corpus input files (SequenceFile<WritableComparable,VectorWritable>."); addOption(DefaultOptionCreator.outputOption().create()); addOption(DefaultOptionCreator.helpOption()); addOption("inMemory", "mem", "Buffer eigen matrix into memory (if you have enough!)", "false"); addOption("maxError", "err", "Maximum acceptable error", "0.05"); addOption("minEigenvalue", "mev", "Minimum eigenvalue to keep the vector for", "0.0"); addOption("maxEigens", "max", "Maximum number of eigenvectors to keep (0 means all)", "0"); return parseArguments(args); }