下面的代码产生一个实例对象,作为ARFF文件输出到标准流。
产生如下类型的属性:
AttTest.java
import weka.core.Attribute; import weka.core.FastVector; import weka.core.Instance; import weka.core.Instances; /** * Generates a little ARFF file with different attribute types. * * @author FracPete */ public class AttTest { public static void main(String[] args) throws Exception { FastVector atts; FastVector attsRel; FastVector attVals; FastVector attValsRel; Instances data; Instances dataRel; double[] vals; double[] valsRel; int i; // 1. set up attributes atts = new FastVector(); // - numeric atts.addElement(new Attribute("att1")); // - nominal attVals = new FastVector(); for (i = 0; i < 5; i++) attVals.addElement("val" + (i+1)); atts.addElement(new Attribute("att2", attVals)); // - string atts.addElement(new Attribute("att3", (FastVector) null)); // - date atts.addElement(new Attribute("att4", "yyyy-MM-dd")); // - relational attsRel = new FastVector(); // -- numeric attsRel.addElement(new Attribute("att5.1")); // -- nominal attValsRel = new FastVector(); for (i = 0; i < 5; i++) attValsRel.addElement("val5." + (i+1)); attsRel.addElement(new Attribute("att5.2", attValsRel)); dataRel = new Instances("att5", attsRel, 0); atts.addElement(new Attribute("att5", dataRel, 0)); // 2. create Instances object data = new Instances("MyRelation", atts, 0); // 3. fill with data // first instance vals = new double[data.numAttributes()]; // - numeric vals[0] = Math.PI; // - nominal vals[1] = attVals.indexOf("val3"); // - string vals[2] = data.attribute(2).addStringValue("This is a string!"); // - date vals[3] = data.attribute(3).parseDate("2001-11-09"); // - relational dataRel = new Instances(data.attribute(4).relation(), 0); // -- first instance valsRel = new double[2]; valsRel[0] = Math.PI + 1; valsRel[1] = attValsRel.indexOf("val5.3"); dataRel.add(new Instance(1.0, valsRel)); // -- second instance valsRel = new double[2]; valsRel[0] = Math.PI + 2; valsRel[1] = attValsRel.indexOf("val5.2"); dataRel.add(new Instance(1.0, valsRel)); vals[4] = data.attribute(4).addRelation(dataRel); // add data.add(new Instance(1.0, vals)); // second instance vals = new double[data.numAttributes()]; // important: needs NEW array! // - numeric vals[0] = Math.E; // - nominal vals[1] = attVals.indexOf("val1"); // - string vals[2] = data.attribute(2).addStringValue("And another one!"); // - date vals[3] = data.attribute(3).parseDate("2000-12-01"); // - relational dataRel = new Instances(data.attribute(4).relation(), 0); // -- first instance valsRel = new double[2]; valsRel[0] = Math.E + 1; valsRel[1] = attValsRel.indexOf("val5.4"); dataRel.add(new Instance(1.0, valsRel)); // -- second instance valsRel = new double[2]; valsRel[0] = Math.E + 2; valsRel[1] = attValsRel.indexOf("val5.1"); dataRel.add(new Instance(1.0, valsRel)); vals[4] = data.attribute(4).addRelation(dataRel); // add data.add(new Instance(1.0, vals)); // 4. output data System.out.println(data); } }
对于丢失的数据
默认新的数组被初始化为0。如果你想在某个位置设置缺失值,通过weka.core.Instance类中的missingValue()方法来明确的设置。在3.7.1版本后的weka中的Instance 是一个接口,所以missingValue()被移到了weka.core.Utils中。如果你已经有一个存在的weka.core.Instance对象,那么你可以使用setMissing(int)方法在给定位置设置缺失值。下面给出在第三个属性设置缺失值的例子。
double[] vals = ... // from somewhere, e.g., from AttTest.java example vals[2] = Instance.missingValue(); // or ... = Utils.missingValue() for Weka > 3.7.1
double[] vals = ... // from somewhere, e.g., from AttTest.java example Instance inst = new Instance(1.0, vals); inst.setMissing(2);