我在Windows 7上运行,Python 2.7通过Anaconda 4.3.17,Luigi 2.4.0,Pandas 0.18,sklearn版本0.18运行。在下面,我试图让luigi.LocalTarget输出成为存储一些不同对象的pickle(使用firstJob),然后从依赖作业(secondJob)中的pickle读取。如果我从命令行运行以下命令,firstJob将成功完成:
" python -m luigi --module luigiPickle firstJob - 日期2017-06-07 --local-scheduler"
但是,如果我尝试运行secondJob,即
" python -m luigi --module luigiPickle secondJob - 日期2017-06-07 --local-scheduler"
我得到了
Traceback (most recent call last):
File "C:\Anaconda2\lib\site-packages\luigi-2.4.0-py2.7.egg\luigi\worker.py", l
ine 191, in run
new_deps = self._run_get_new_deps()
File "C:\Anaconda2\lib\site-packages\luigi-2.4.0-py2.7.egg\luigi\worker.py", l
ine 129, in _run_get_new_deps
task_gen = self.task.run()
File "luigiPickle.py", line 41, in run
ret2 = pickle.load(inFile)
File "C:\Anaconda2\lib\pickle.py", line 1384, in load
return Unpickler(file).load()
File "C:\Anaconda2\lib\pickle.py", line 864, in load
dispatch[key](self)
File "C:\Anaconda2\lib\pickle.py", line 1096, in load_global
klass = self.find_class(module, name)
File "C:\Anaconda2\lib\pickle.py", line 1130, in find_class
__import__(module)
ImportError: No module named frame
由于没有识别pandas.DataFrame()对象(可能是范围问题?),luigi似乎无法阅读pickle。
import luigi
import pandas as pd
import pickle
from sklearn.linear_model import LinearRegression
class firstJob(luigi.Task):
date = luigi.DateParameter()
def requires(self):
return None
def output(self):
return luigi.LocalTarget('%s_first.pickle' % self.date)
def run(self):
ret = {}
ret['a'] = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
ret['b'] = pd.DataFrame({'a': [3, 4], 'd': [0, 0]})
ret['c'] = LinearRegression()
outFile = self.output().open('wb')
pickle.dump(ret, outFile, protocol=pickle.HIGHEST_PROTOCOL)
outFile.close()
class secondJob(luigi.Task):
date = luigi.DateParameter()
def requires(self):
return firstJob(self.date)
def output(self):
return luigi.LocalTarget('%s_second.pickle' % self.date)
def run(self):
inFile = self.input().open('rb')
ret2 = pickle.load(inFile)
inFile.close()
if __name__ == '__main__':
luigi.run()
答案 0 :(得分:5)
luigi open命令不能与二进制的b标志一起使用 - 它将它从选项字符串中删除。 (不知道为什么)。最好只使用带有path属性的标准open:
open(self.input().path, 'rb')
和open(self.output().path, 'wb')
。
答案 1 :(得分:0)
d6tflow解决了这个问题,请参阅example for sklearn model pickle来回答此问题。另外,您无需编写所有样板代码。
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