如果我使用了错误的术语，请原谅我，但我想要的是训练一组数据（使用来自 Scikit Learn 的 GaussianNB 朴素贝叶斯），保存模型/分类器，然后在需要时加载它并预测类别。
from sklearn.externals import joblib
from sklearn.naive_bayes import GaussianNB
from sklearn.feature_extraction.text import TfidfVectorizer
self.vectorizer = TfidfVectorizer(decode_error='ignore')
self.X_train_tfidf = self.vectorizer.fit_transform(train_data)
# Fit the model to my training data
self.clf = self.gnb.fit(self.X_train_tfidf.toarray(), category)
# Save the classifier to file
joblib.dump(self.clf, 'trained/NB_Model.pkl')
# Save the vocabulary to file
joblib.dump(self.vectorizer.vocabulary_, 'trained/vectorizer_vocab.pkl')
#Next time, I read the saved classifier
self.clf = joblib.load('trained/NB_Model.pkl')
# Read the saved vocabulary
self.vocab =joblib.load('trained/vectorizer_vocab.pkl')
# Initializer the vectorizer
self.vectorizer = TfidfVectorizer(vocabulary=self.vocab, decode_error='ignore')
# Try to …我有一个谷歌应用程序引擎应用程序(使用python创建).我想为memcache添加一个值,但希望每个午夜(PST)的值到期如何执行此操作？