Exemplos de experimentCrossValidate em Python

Exemplo n.º 1

Arquivo: experiment-SDB-race.py Projeto: rehmliang/DM_lab_project_1

def runAll():
    print("Shifted Decision Boundary Relabeling")
    experiments = [(('SVM', svmLearner), adult2),
                   (('AdaBoost', boostingLearner), adult2),
                   (('LR', lrLearner), adult2),
                   ]

    for (learnerName, learner), dataset in experiments:
        print("%s %s" % (dataset.name, learnerName), flush=True)
        experimentCrossValidate(dataset, learner, 2, statistics)

Exemplo n.º 2

Arquivo: experiment-baselines.py Projeto: rehmliang/DM_lab_project_1

def runAllCrossValidate():
    print("Baseline algorithms")
    experiments = [
        (('SVM', svmLearner), adult2),
        (('SVMlinear', svmLinearLearner), german),
        (('AdaBoost', boostingLearner), adult2),
        (('AdaBoost', boostingLearner), german),
        (('LR', lrLearner), adult2),
        (('LR', lrLearner), german),
    ]

    for (learnerName, learner), dataset in experiments:
        print("%s %s" % (dataset.name, learnerName), flush=True)
        experimentCrossValidate(dataset, learner, 5, statisticsForCV)

Exemplo n.º 3

Arquivo: experiment-RR.py Projeto: SonamChoudhary/SDB_PaperCode

def runAll():
    print("Random Relabeling")
    experiments = [
        (('SVM', svmLearner), adult),
        (('SVMlinear', svmLinearLearner), german),
        (('SVM', svmLearner), singles),
        (('AdaBoost', boostingLearner), adult),
        (('AdaBoost', boostingLearner), german),
        (('AdaBoost', boostingLearner), singles),
        (('LR', lrLearner), adult),
        (('LR', lrLearner), german),
        (('LR', lrLearner), singles),
    ]

    for (learnerName, learner), dataset in experiments:
        print("%s %s" % (dataset.name, learnerName))
        experimentCrossValidate(dataset, learner, 5, statistics)

Exemplo n.º 4

Arquivo: experiment-RR.py Projeto: j2kun/fkl-SDM16

def runAll():
   print("Random Relabeling")
   experiments = [
      (('SVM', svmLearner), adult),
      (('SVMlinear', svmLinearLearner), german),
      (('SVM', svmLearner), singles),
      (('AdaBoost', boostingLearner), adult),
      (('AdaBoost', boostingLearner), german),
      (('AdaBoost', boostingLearner), singles),
      (('LR', lrLearner), adult),
      (('LR', lrLearner), german),
      (('LR', lrLearner), singles),
   ]

   for (learnerName, learner), dataset in experiments:
      print("%s %s" % (dataset.name, learnerName))
      experimentCrossValidate(dataset, learner, 5, statistics)

Exemplo n.º 5

Arquivo: experiment-SDB.py Projeto: j2kun/archival-papers

def runAll():
   print("Shifted Decision Boundary Relabeling")
   experiments = [
      (('SVM', svmSKL), adult),
      (('SVMlinear', svmLinearSKL), german),
      (('SVM', svmSKL), singles),
      (('AdaBoost', boost), adult),
      (('AdaBoost', boost), german),
      (('AdaBoost', boost), singles),
      (('LR', lrSKL), adult),
      (('LR', lrSKL), german),
      (('LR', lrSKL), singles),
   ]

   for (learnerName, learner), dataset in experiments:
      print("%s %s" % (dataset.name, learnerName), flush=True)
      experimentCrossValidate(dataset, learner)

Exemplo n.º 6

Arquivo: experiment-baselines.py Projeto: j2kun/fkl-SDM16

def runAllCrossValidate():
    print("Baseline algorithms")
    experiments = [
        (("SVM", svmLearner), adult),
        (("SVMlinear", svmLinearLearner), german),
        (("SVM", svmLearner), singles),
        (("AdaBoost", boostingLearner), adult),
        (("AdaBoost", boostingLearner), german),
        (("AdaBoost", boostingLearner), singles),
        (("LR", lrLearner), adult),
        (("LR", lrLearner), german),
        (("LR", lrLearner), singles),
    ]

    for (learnerName, learner), dataset in experiments:
        print("%s %s" % (dataset.name, learnerName), flush=True)
        experimentCrossValidate(dataset, learner, 5, statisticsForCV)