/** * Select attributes using BestFirst search to reduce * the number of parameters per instance of a dataset * * @param data input set of instances * @return resampled set of instances */ public static Instances selectAttributes(Instances data) { final AttributeSelection filter = new AttributeSelection(); Instances filteredIns = null; // Evaluator final CfsSubsetEval evaluator = new CfsSubsetEval(); evaluator.setMissingSeparate(true); // Assign evaluator to filter filter.setEvaluator(evaluator); // Search strategy: best first (default values) final BestFirst search = new BestFirst(); filter.setSearch(search); // Apply filter try { filter.setInputFormat(data); filteredIns = Filter.useFilter(data, filter); } catch (Exception e) { IJ.log("Error when resampling input data with selected attributes!"); e.printStackTrace(); } return filteredIns; }
/** * Select attributes using BestFirst search to reduce * the number of parameters per instance of a dataset * * @param data input set of instances * @return resampled set of instances */ public static Instances selectAttributes(Instances data) { final AttributeSelection filter = new AttributeSelection(); Instances filteredIns = null; // Evaluator final CfsSubsetEval evaluator = new CfsSubsetEval(); evaluator.setMissingSeparate(true); // Assign evaluator to filter filter.setEvaluator(evaluator); // Search strategy: best first (default values) final BestFirst search = new BestFirst(); filter.setSearch(search); // Apply filter try { filter.setInputFormat(data); filteredIns = Filter.useFilter(data, filter); } catch (Exception e) { IJ.log("Error when resampling input data with selected attributes!"); e.printStackTrace(); } return filteredIns; }
setMissingSeparate(Utils.getFlag('M', options)); setLocallyPredictive(!Utils.getFlag('L', options)); setPreComputeCorrelationMatrix(Utils.getFlag('Z', options));
setMissingSeparate(Utils.getFlag('M', options)); setLocallyPredictive(!Utils.getFlag('L', options)); setPreComputeCorrelationMatrix(Utils.getFlag('Z', options));