Python pickle.load:ImportError:没有名为k_的模块意味着_
我正在使用Python pickle.load:ImportError:没有名为k_的模块意味着_,python,scikit-learn,pickle,Python,Scikit Learn,Pickle,我正在使用pickle转储一个sklearn.cluster.KMeans对象,如下所示: kmeans = KMeans(n_clusters=7) kmeans.fit(X) pickle.dump(kmeans, open(model_fname, "w"), protocol=2) 但是,如果我尝试重新加载此pickle文件: if os.path.exists(model_fname): print "Loading existing model .." retu
pickle
转储一个sklearn.cluster.KMeans
对象,如下所示:
kmeans = KMeans(n_clusters=7)
kmeans.fit(X)
pickle.dump(kmeans, open(model_fname, "w"), protocol=2)
但是,如果我尝试重新加载此pickle文件:
if os.path.exists(model_fname):
print "Loading existing model .."
return pickle.load(open(model_fname, "rb"))
我得到:
File "C:\Python27\lib\pickle.py", line 1130, in find_class
__import__(module)
ImportError: No module named k_means_
如何加载此文件?我刚刚用
joblib
替换了pickle
:
from sklearn.externals import joblib