nus_learner_knn_bs.py 文件源码

def runner(i):
    sem.acquire()
    print("learn begin %s" % i)
    clf = ensemble.BaggingClassifier(neighbors.KNeighborsClassifier())
    clf = clf.fit(traindata, trainlabel[i])
    svms.append((i, clf))
    result[i] = clf.predict_proba(testdata)
    dbresult[i] = clf.predict_proba(dbdata)
    print("label %s done\n%s"
     % (i, metrics.classification_report(testlabel[i], result[i])))
    #print metrics.confusion_matrix(testlabel[i], result)
    sem.release()