/** * Main method for testing this class. * * @param argv should contain arguments to the filter: use -h for help */ public static void main(String[] argv) { runFilter(new RemoveUseless(), argv); } }
/** * Main method for testing this class. * * @param argv should contain arguments to the filter: use -h for help */ public static void main(String[] argv) { runFilter(new RemoveUseless(), argv); } }
/** * creates a RemoveUseless filter with the given percentage of allowed * variance */ protected Filter getFilter(double percentage) { RemoveUseless f = new RemoveUseless(); f.setMaximumVariancePercentageAllowed(percentage); return f; }
/** * creates a RemoveUseless filter with the given percentage of allowed * variance */ protected Filter getFilter(double percentage) { RemoveUseless f = new RemoveUseless(); f.setMaximumVariancePercentageAllowed(percentage); return f; }
/** Creates a default RemoveUseless */ public Filter getFilter() { return getFilter(new RemoveUseless().getMaximumVariancePercentageAllowed()); }
/** Creates a default RemoveUseless */ public Filter getFilter() { return getFilter(new RemoveUseless().getMaximumVariancePercentageAllowed()); }
Normalize norm = new Normalize(); norm.setInputFormat(train); train = Filter.useFilter(train, norm); RemoveUseless ru = new RemoveUseless(); ru.setInputFormat(train); train = Filter.useFilter(train, ru); Ranker rank = new Ranker(); InfoGainAttributeEval eval = new InfoGainAttributeEval(); eval.buildEvaluator(train);
m_AttFilter = new RemoveUseless(); m_AttFilter.setInputFormat(train); train = Filter.useFilter(train, m_AttFilter);
m_AttFilter = new RemoveUseless(); m_AttFilter.setInputFormat(train); train = Filter.useFilter(train, m_AttFilter);
m_RemoveUseless = new RemoveUseless(); m_RemoveUseless.setInputFormat(m_data); m_data = Filter.useFilter(data, m_RemoveUseless);
m_instances = Filter.useFilter(m_instances, m_nominalToBinary); m_removeUseless = new RemoveUseless(); m_removeUseless.setInputFormat(m_instances); m_instances = Filter.useFilter(m_instances, m_removeUseless);
m_instances = Filter.useFilter(m_instances, m_nominalToBinary); m_removeUseless = new RemoveUseless(); m_removeUseless.setInputFormat(m_instances); m_instances = Filter.useFilter(m_instances, m_removeUseless);
m_RemoveUseless = new RemoveUseless(); m_RemoveUseless.setInputFormat(insts); insts = Filter.useFilter(insts, m_RemoveUseless);
m_RemoveUseless = new RemoveUseless(); m_RemoveUseless.setInputFormat(insts); insts = Filter.useFilter(insts, m_RemoveUseless);
m_RemoveUseless = new RemoveUseless(); m_RemoveUseless.setInputFormat(insts); insts = Filter.useFilter(insts, m_RemoveUseless);