edu.cmu.minorthird.ui
Class Recommended.KnnLearner

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.transform.TransformingBatchLearner
          edu.cmu.minorthird.ui.Recommended.KnnLearner

All Implemented Interfaces:

ClassifierLearner, java.lang.Cloneable

Enclosing class:

Recommended

public static class Recommended.KnnLearner
extends TransformingBatchLearner

K-NN learner following Yang and Chute. This uses a TFIDF transformation of the features, and averages the scores 30 nearest neighbors, with score weighted by TFIDF distance to the instance being classifier. Unlike many of the learners in the 'recommended' package, this is a non-binary (multi-class) learner.

Training for this learner is very fast, but classification time is rather slow.

Reference: Y. Yang and C.G. Chute, An example-based mapping method for text classification and retrieval, ACM Transactions on Information Systems, 3(12), 1994.

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

classifier, dataset

Constructor Summary

Recommended.KnnLearner()

Method Summary

Methods inherited from class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

batchTrain, getClassifierLearner, getSchema, getTransformLearner, setClassifierLearner, setSchema, setTransformLearner

Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Recommended.KnnLearner

public Recommended.KnnLearner()