我想保存一个管道。我做不到。这是我的类对象,我试着将其pickling。
class SentimentModel():
def __init__(self,model_instance,x_train,x_test,y_train,y_test):
import string
from nltk import ngrams
self.ngrams = ngrams
self.string = string
self.model = model_instance
self.x_train = x_train
self.x_test = x_test
self.y_train = y_train
self.y_test = y_test
self._fit()
def _fit(self):
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import CountVectorizer
self.pipeline = Pipeline([
('bow', CountVectorizer(analyzer=self._text_process)),
('tfidf', TfidfTransformer()),
('classifier', self.model),
])
self.pipeline.fit(self.x_train,self.y_train)
self.preds = self.pipeline.predict(self.x_test)
def _text_process(self,text):
def remove_non_ascii(text):
return ''.join(i for i in text if ord(i)<128)
text = remove_non_ascii(text)
text = [char.lower() for char in text if char not in self.string.punctuation]
text = ''.join(text)
unigrams = [word for word in text.split()]
bigrams = [' '.join(g) for g in self.ngrams(unigrams,2)]
trigrams = [' '.join(g) for g in self.ngrams(unigrams,3)]
tokens = []
tokens.extend(unigrams+bigrams+trigrams)
return tokens
def predict(self,observation):
return self.pipeline.predict(observation)
我得到这些错误。
from sklearn.naive_bayes import MultinomialNB
nb = MultinomialNB()
nb_model = SentimentModel(nb,X_train,X_test,y_train,y_test)
import pickle
with open('nb_model1.pkl','wb') as f:
pickle.dump(nb_model,f)
>>>
TypeError: can't pickle module objects
同样的:
with open('nb_model1.pkl','wb') as f:
pickle.dump(nb_model.pipeline,f)
TypeError: can't pickle module objects
然而,我可以保存 nb_model.model
. 但不是管道对象。有什么解释?如何让我的整个管道持久化?
我见过 如何在sklearn的Pipeline中挑选单个步骤?但问题是,它不能拾取的是 bow
属性。
joblib.dump(nb_model.pipeline.get_params()['tfidf'], 'nb_tfidf.pkl') # pass
joblib.dump(nb_model.pipeline.get_params()['bow'], 'nb_bow.pkl') # fail
joblib.dump(nb_model.pipeline.get_params()['classifier'], 'nb_classifier.pkl') #pass
>>>
TypeError: can't pickle module objects
我应该怎么做?
再试一次,不要在你的类定义中导入模块。这不是一个好的做法,因为当你导入一些东西,例如 import string
,你给你的代码带来了一整套的第三方代码,甚至可能在其他想要使用这个皮卡的机器上都没有安装;这不是一个好的做法。也许 pickle
是保护你做这种事情。