class RankingEvaluator:
    def __init__(self):
        self.submission_data = ChallengeData()
        self.solution_data = ChallengeData()

    def read_data(self, submission_file, solution_file):
        self.submission_data.read_from_file(submission_file)
        self.solution_data.read_from_file(solution_file)

    def run(self):
        average_NDCG = 0
        days = self.solution_data.get_days()
        for day in days:
            submission = self.submission_data.get(day)
            solution = self.solution_data.get(day)
            computer = NDCGComputer(submission, solution, 100)
            average_NDCG += computer.run()
        average_NDCG /= float(len(days))
        return average_NDCG
class RankingEvaluator:

  def __init__(self):
    self.submission_data = ChallengeData()
    self.solution_data = ChallengeData()

  def read_data(self,submission_file,solution_file):
    self.submission_data.read_from_file(submission_file)
    self.solution_data.read_from_file(solution_file)

  def run(self):
    average_NDCG = 0
    days = self.solution_data.get_days()
    for day in days: 
      submission = self.submission_data.get(day)
      solution = self.solution_data.get(day)  
      computer  = NDCGComputer(submission,solution,100)
      average_NDCG += computer.run()
    average_NDCG /= float(len(days))
    return average_NDCG
Beispiel #3
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class DecreaseEvaluator:
    def __init__(self):
        self.submission_data = ChallengeData()
        self.solution_data = ChallengeData()

    def read_data(self, submission_file, solution_file):
        self.submission_data.read_from_file(submission_file)
        self.solution_data.read_from_file(solution_file)

    def run(self):
        MSE = 0
        N = 0
        days = self.solution_data.get_days()
        for day in days:
            solution = self.solution_data.get(day)
            submission = self.submission_data.get(day)
            for station in solution:
                pred = 0
                if station in submission:
                    pred = submission[station]
                MSE += math.pow(pred - solution[station], 2)
                N += 1
        return math.pow(MSE / float(N), 0.5)
class DecreaseEvaluator:

  def __init__(self):
    self.submission_data = ChallengeData()
    self.solution_data = ChallengeData()

  def read_data(self, submission_file, solution_file):
    self.submission_data.read_from_file(submission_file)
    self.solution_data.read_from_file(solution_file)

  def run(self):
    MSE = 0
    N = 0
    days = self.solution_data.get_days()
    for day in days:
      solution = self.solution_data.get(day)
      submission = self.submission_data.get(day)
      for station in solution:
        pred = 0
        if station in submission:
          pred = submission[station]
        MSE += math.pow(pred-solution[station], 2)
        N += 1
    return math.pow(MSE / float(N), 0.5)