addOption("numberOfColumns", "r", "Number of columns in the input matrix", false); addOption("similarityClassname", "s", "Name of distributed similarity class to instantiate, alternatively use " + "one of the predefined similarities (" + VectorSimilarityMeasures.list() + ')'); addOption("maxSimilaritiesPerRow", "m", "Number of maximum similarities per row (default: " + DEFAULT_MAX_SIMILARITIES_PER_ROW + ')', String.valueOf(DEFAULT_MAX_SIMILARITIES_PER_ROW)); addOption("excludeSelfSimilarity", "ess", "compute similarity of rows to themselves?", String.valueOf(false)); addOption("threshold", "tr", "discard row pairs with a similarity value below this", false); addOption("maxObservationsPerRow", null, "sample rows down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_ROW)); addOption("maxObservationsPerColumn", null, "sample columns down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_COLUMN)); addOption("randomSeed", null, "use this seed for sampling", false); addOption(DefaultOptionCreator.overwriteOption().create());
addOption("numberOfColumns", "r", "Number of columns in the input matrix", false); addOption("similarityClassname", "s", "Name of distributed similarity class to instantiate, alternatively use " + "one of the predefined similarities (" + VectorSimilarityMeasures.list() + ')'); addOption("maxSimilaritiesPerRow", "m", "Number of maximum similarities per row (default: " + DEFAULT_MAX_SIMILARITIES_PER_ROW + ')', String.valueOf(DEFAULT_MAX_SIMILARITIES_PER_ROW)); addOption("excludeSelfSimilarity", "ess", "compute similarity of rows to themselves?", String.valueOf(false)); addOption("threshold", "tr", "discard row pairs with a similarity value below this", false); addOption("maxObservationsPerRow", null, "sample rows down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_ROW)); addOption("maxObservationsPerColumn", null, "sample columns down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_COLUMN)); addOption("randomSeed", null, "use this seed for sampling", false); addOption(DefaultOptionCreator.overwriteOption().create());
addOption("numberOfColumns", "r", "Number of columns in the input matrix", false); addOption("similarityClassname", "s", "Name of distributed similarity class to instantiate, alternatively use " + "one of the predefined similarities (" + VectorSimilarityMeasures.list() + ')'); addOption("maxSimilaritiesPerRow", "m", "Number of maximum similarities per row (default: " + DEFAULT_MAX_SIMILARITIES_PER_ROW + ')', String.valueOf(DEFAULT_MAX_SIMILARITIES_PER_ROW)); addOption("excludeSelfSimilarity", "ess", "compute similarity of rows to themselves?", String.valueOf(false)); addOption("threshold", "tr", "discard row pairs with a similarity value below this", false); addOption("maxObservationsPerRow", null, "sample rows down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_ROW)); addOption("maxObservationsPerColumn", null, "sample columns down to this number of entries", String.valueOf(DEFAULT_MAX_OBSERVATIONS_PER_COLUMN)); addOption("randomSeed", null, "use this seed for sampling", false); addOption(DefaultOptionCreator.overwriteOption().create());