haiku-lst 0.1.1.4

介绍

对LibShortText和LIBLINEAR的修改。

• 使用Wissen文本分析器
• 功能选择
• Skitai应用程序引擎导出的API
• 支持win32（需要msvc）

安装

git clone https://gitlab.com/hansroh/haiku
cd haiku
python setup.py build install

基本用法

importhaikumodel_path="./golforbed"analyzer=haiku.StandardAnalyzer(max_term=200,stem_level=2,make_lower_case=1)trainset=[('Golf',"cloudy cold calm"),('Golf',"sunny warm"),('Bed',"rainy hot"),('Golf',"sunny hot windy"),('Bed',"windy cloudy cold"),('Bed',"rainy cloudy cold"),]# trainingh=haiku.Haiku(model_path,haiku.CL_L2,analyzer)# pruning by document frequency and scoring by meth (FS_CF means category frequency)h.select(data,mindf=0,maxdf=0,top=0,meth=haiku.FS_CF)# set training options: uni/bigram and feature representationh.train(haiku.BIGRAM,haiku.FT_BIN)h.close()# guessingh=haiku.Haiku(model_path,haiku.CL_L2,analyzer)h.load()print(h.guess("sunny cold windy"))h.close()

通过Skitai应用程序引擎导出API

将模型数据放入app_root/resources/haikus/golfebed。

importhaikuimportskitaiif__name__=="__main__":pref=skitai.pref()pref.config.resource_dir=skitai.joinpath('resources')skitai.mount("/",haiku,"app",pref)skitai.run(port=5005)

转到http://127.0.0.1:5000/haiku/golforbed/guess?q=sunny%20cold%20windy。