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Python Stats.record_post_large_sets方法代码示例

本文整理汇总了Python中stats.Stats.record_post_large_sets方法的典型用法代码示例。如果您正苦于以下问题:Python Stats.record_post_large_sets方法的具体用法?Python Stats.record_post_large_sets怎么用?Python Stats.record_post_large_sets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stats.Stats的用法示例。


在下文中一共展示了Stats.record_post_large_sets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: process

# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import record_post_large_sets [as 别名]
def process(infile, algorithm_name, support, confidence, m, random, partial):
    stats = Stats()
    transactions = TransactionsList(infile)
    stats.record_post_large_sets()
    stats.record_post_rules()
    last_total_time = stats.real_time
    last_user_time = stats.user_time
    stats = Stats()
    if algorithm_name == 'apriori':
        algorithm = Apriori(transactions, support)
    else:
        algorithm = Dic(transactions, support, m, random, partial)
    large_sets, counter = algorithm.get_large_sets_and_counter()
    stats.record_post_large_sets()
    rules = RulesGenerator.generate_rules(large_sets, confidence, counter, transactions)
    stats.record_post_rules()
    large_len = len(large_sets)
    total_time = stats.real_time - last_total_time
    user_time = stats.user_time - last_user_time
    large_sets_time = stats.set_gen_time - last_total_time
    last_total_time = stats.real_time
    last_user_time = stats.user_time
    memory = stats.memory_use
    rules_no = len(rules)

    print "{infile}\t{algorithm_name}\t{support}\t{confidence}\t{m}\t{rules_no}\t{large_len}\t{memory}\t{total_time}\t{user_time}\t{large_sets_time}\t{partial}\t{random}".format(**locals())
开发者ID:powerllamas,项目名称:associative_rules,代码行数:28,代码来源:collect_data.py

示例2: main

# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import record_post_large_sets [as 别名]
def main(args):
    stats = Stats()
    transactions = TransactionsList(args.infile)
    if args.algorithm == 'apriori':
        algorithm = Apriori(transactions, args.minsup)
    else:
        algorithm = Dic(transactions, args.minsup, args.m)
    large_sets, counter = algorithm.get_large_sets_and_counter()
    stats.record_post_large_sets()
    rules = RulesGenerator.generate_rules(large_sets, args.minconf, counter, transactions)
    stats.record_post_rules()

    writer = Writer(args.outfile)
    writer.add_args(args)
    writer.add_stats(stats)
    writer.add_rules(rules)
    writer.write()
开发者ID:powerllamas,项目名称:associative_rules,代码行数:19,代码来源:ar.py


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