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Python Timer.pick方法代码示例

本文整理汇总了Python中timer.Timer.pick方法的典型用法代码示例。如果您正苦于以下问题:Python Timer.pick方法的具体用法?Python Timer.pick怎么用?Python Timer.pick使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在timer.Timer的用法示例。


在下文中一共展示了Timer.pick方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: compute_category

# 需要导入模块: from timer import Timer [as 别名]
# 或者: from timer.Timer import pick [as 别名]
  def compute_category(self,item):
    t = Timer()
    t.pick("debut")
    voc = self.voc_from_item(item)
    if self.product:
      voc = self.word_product(voc)
    voc_dic = self.word_dic_from_list(voc)
    best_score = 0
    best_cat = 1000009411
    t.pick("vocabulaire construit")
    cat_set = set()

    for word in voc_dic["dic"].keys():
      try:
        cat_set = cat_set.union(self.word_cats_dict[word])
        #print 'word : "%s", count : %s ' % (word,len(self.word_cats_dict[word]))
      except KeyError:
        #Si on ne peut pas trouver de catégorie pour ce mot, c'est qu'il n'a jamais été trouvé 
        # dans le set train
        pass
    #print "total : %s " % (len(cat_set) ,)
    #print len(voc_dic["dic"])
    for cat in cat_set:
      score = 0
      for word in voc_dic["dic"].keys():
        if smart_in(self.centroids[cat],word):
          score += self.centroids[cat][word]*voc_dic["dic"][word]
      if score > best_score:
        best_score = score
        best_cat = cat
    if best_score == 0:
      #print "nothing found"
      pass
    t.pick("best_cat chope")
    return best_cat
开发者ID:ulyssek,项目名称:brain,代码行数:37,代码来源:DescCentroid.py

示例2: __init__

# 需要导入模块: from timer import Timer [as 别名]
# 或者: from timer.Timer import pick [as 别名]
class Model:
    def __init__(
        self,
        limit=None,
        talkative=True,
        skip_cdiscount=False,
        skip_book=False,
        batch=False,
        train=False,
        cat_count=None,
        **kwargs
    ):
        self.skip_cdiscount = skip_cdiscount
        self.skip_book = skip_book
        self.limit = limit
        self.talkative = talkative
        self.batch = batch
        self.train = train
        self.score = 0
        self.path = TRAIN_FILE
        self.train_len = TRAIN_LEN
        self.cdiscount_position = CDISCOUNT_POSITION
        self.output_name = RESULT_PATH + self.name + ".csv"
        self.no_brand = NO_BRAND
        self.cat_count = cat_count

        self.id_position = ID_POSITION
        self.brand_position = BRAND_POSITION
        self.price_position = PRICE_POSITION
        self.c3_position = C3_ID_POSITION
        self.cdiscount_position = CDISCOUNT_POSITION
        self.desc_position = DESCRIPTION_POSITION
        self.libelle_position = LIBELLE_POSITION
        self.desc_position_test = DESCRIPTION_POSITION_TEST
        self.brand_position_test = BRAND_POSITION_TEST
        self.price_position_test = PRICE_POSITION_TEST
        self.libelle_position_test = LIBELLE_POSITION_TEST
        self.counting_timer = Timer()

        for key in kwargs.keys():
            setattr(self, key, kwargs[key])

        print "Model initialized !"

    def build(self, skip_cdiscount):
        raise Exception("Not Implemented yet")

    ##################################################################################
    ## COUNTING FUNCTIONS

    def reset_count(self, count_len):
        self.count = 0
        self.loop_break = False
        if self.limit is not None:
            self.local_limit = min(count_len, self.limit)
        else:
            self.local_limit = count_len
        self.counting_timer.clean()
        self.counting_timer.pick()

    def smart_count(self, so_far=False):
        self.count += 1
        try:
            boule = not (self.count % int(self.local_limit / 10)) and self.talkative
        except ZeroDivisionError:
            boule = False
        if self.limit is not None and self.count == self.local_limit:
            self.loop_break = True
            if self.talkative:
                print "100% done"
        elif boule:
            self.counting_timer.pick()
            print "%s%% done (%s s)" % (int(100 * self.count / float(self.local_limit)), self.counting_timer.last_dif())
            if so_far:
                print "score so far : %s " % (self.temp_score / float(self.count) * 100)

    ##################################################################################
    ## CATEGORY COMPUTING FUNCTIONS

    def compute_category(self, item):
        raise Exception("Not Implemented yet")

    def compute_output(self):
        result = [["Id_Produit", "Id_Categorie"]]
        id_position = ID_POSITION
        if self.train:
            file_name = VALIDATION_FILE
            brand_position = BRAND_POSITION
            price_positin = PRICE_POSITION
            file_len = TRAIN_LEN
            validation_len = VALIDATION_LEN
            cat_position = C3_ID_POSITION
            cdiscount_position = CDISCOUNT_POSITION
        else:
            file_name = TEST_FILE
            brand_position = BRAND_POSITION_TEST
            file_len = TEST_LEN
            cdiscount_position = 1

        spam_reader = parser(file_name)
#.........这里部分代码省略.........
开发者ID:ulyssek,项目名称:brain,代码行数:103,代码来源:IModel.py


注:本文中的timer.Timer.pick方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。