public AccuracyCoverage(Classifier C, InstanceList ilist, int numBuckets, String title) { this(new Trial(C, ilist), numBuckets, title, "unnamed"); }
public AccuracyCoverage(Classifier C, InstanceList ilist, String title) { this(new Trial(C, ilist), DEFAULT_NUM_BUCKETS, title, "unnamed"); }
public AccuracyCoverage(Classifier C, InstanceList ilist, String title) { this(new Trial(C, ilist), DEFAULT_NUM_BUCKETS, title, "unnamed"); }
public AccuracyCoverage(Classifier C, InstanceList ilist, String title) { this(new Trial(C, ilist), DEFAULT_NUM_BUCKETS, title, "unnamed"); }
public AccuracyCoverage(Classifier C, InstanceList ilist, int numBuckets, String title) { this(new Trial(C, ilist), numBuckets, title, "unnamed"); }
public AccuracyCoverage(Classifier C, InstanceList ilist, int numBuckets, String title) { this(new Trial(C, ilist), numBuckets, title, "unnamed"); }
public double getRecall (InstanceList ilist, int index) { return new Trial(this, ilist).getRecall(index); } public double getRecall (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getRecall(labeling); }
public double getAccuracy (InstanceList ilist) { return new Trial(this, ilist).getAccuracy(); } public double getPrecision (InstanceList ilist, int index) { return new Trial(this, ilist).getPrecision(index); }
public double getRecall (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getRecall(labeling); } public double getRecall (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getRecall(labelEntry); }
public double getAccuracy (InstanceList ilist) { return new Trial(this, ilist).getAccuracy(); } public double getPrecision (InstanceList ilist, int index) { return new Trial(this, ilist).getPrecision(index); }
public double getRecall (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getRecall(labeling); } public double getRecall (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getRecall(labelEntry); }
public double getPrecision (InstanceList ilist, int index) { return new Trial(this, ilist).getPrecision(index); } public double getPrecision (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getPrecision(labeling); }
public double getRecall (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getRecall(labelEntry); } public double getF1 (InstanceList ilist, int index) { return new Trial(this, ilist).getF1(index); }
public double getF1 (InstanceList ilist, int index) { return new Trial(this, ilist).getF1(index); } public double getF1 (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getF1(labeling); }
public double getPrecision (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getPrecision(labelEntry); } public double getRecall (InstanceList ilist, int index) { return new Trial(this, ilist).getRecall(index); }
public double getF1 (InstanceList ilist, int index) { return new Trial(this, ilist).getF1(index); } public double getF1 (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getF1(labeling); }
public double getPrecision (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getPrecision(labeling); } public double getPrecision (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getPrecision(labelEntry); }
public double getPrecision (InstanceList ilist, Object labelEntry) { return new Trial(this, ilist).getPrecision(labelEntry); } public double getRecall (InstanceList ilist, int index) { return new Trial(this, ilist).getRecall(index); }
public double getPrecision (InstanceList ilist, int index) { return new Trial(this, ilist).getPrecision(index); } public double getPrecision (InstanceList ilist, Labeling labeling) { return new Trial(this, ilist).getPrecision(labeling); }
public static Trial testTrainSplit(InstanceList instances) { InstanceList[] instanceLists = instances.split(new Randoms(), new double[] { 0.9, 0.1, 0.0 }); // LOG.debug("{} training instance, {} testing instances", // instanceLists[0].size(), instanceLists[1].size()); @SuppressWarnings("rawtypes") ClassifierTrainer trainer = new MaxEntTrainer(); Classifier classifier = trainer.train(instanceLists[TRAINING]); return new Trial(classifier, instanceLists[TESTING]); }