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BahaviorTool是一个Python包,提供了CombinePattern、ContinuePattern和SequencePattern三个类的实现行为模式挖掘。

安装

你可以使用pip安装BahaviorPattern:

pip install BahaviorPattern

使用

在你的Python代码中引入类,例如:

from BahaviorPattern import CombinePattern, ContinuePattern, SequencePattern

#--------------------------------- 组合行为模式挖掘 ---------------------------------#
use_behavior = []
del_behavior = []
# 创建实例
behavior = CombinePattern(data=data, 
                          use_behavior=use_behavior, 
                          del_behavior=del_behavior, 
                          min_support=0.1, 
                          min_confidence=0.5, 
                          min_length=3, 
                          max_length=7, 
                          sep='@') 
# 运行模型,返回pattern结果和使用的行为列表
combine, combine_use_behavior = behavior.run() 
# 筛选lift符合要求的pattern
combine_result = combine[combine['lift'] > 6] 


#--------------------------------- 连续行为模式挖掘 ---------------------------------#
use_behavior = []
del_behavior = []
# 创建实例
behavior = ContinuePattern(data=data, 
                           use_behavior=use_behavior, 
                           del_behavior=del_behavior, 
                           min_support=0.1, 
                           min_length=3, 
                           max_length=6, 
                           sep='@') 
# 运行模型,返回pattern结果和使用的行为列表
continues, continue_use_behavior = behavior.run() 
# 筛选lift符合要求的pattern
continues_result = continues[continues['lift'] > 6] 


#--------------------------------- 序列行为模式挖掘 ---------------------------------#
use_behavior = []
del_behavior = []
# 创建实例
behavior = SequencePattern(data=data, 
                           use_behavior=use_behavior, 
                           del_behavior=del_behavior, 
                           min_support=0.1,
                           min_length=3, 
                           max_length=7, 
                           sep='@') 
# 运行模型,返回pattern结果和使用的行为列表
sequence, seq_use_behavior = behavior.run() 
# 筛选lift符合要求的pattern
sequence_result = sequence[sequence['lift'] > 6] 

依赖

BahaviorPattern依赖以下Python库:

  • numpy
  • pandas
  • efficient_apriori
  • tqdm
  • prefixspan

完整的依赖列表可以在setup.py中找到。

贡献

如果你发现任何bugs,请提交Issue或Pull Request进行更正

作者

MyPackage由Chen Chen编写和维护。

致谢

感谢以下Python包的开发者:

  • numpy
  • pandas
  • efficient_apriori
  • tqdm
  • prefixspan

这些开发者对该项目发展做出了重要贡献。

Metadata

Release files for BahaviorPattern 0.0.2

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