我正在使用脚本train_et.py创建一个pickle对象然后我尝试在我的烧瓶服务器的函数中加载对象但是我在创建pickle对象时使用了自定义类的问题" ItemSelector&# 34;和" TextStats"。我试图根据这个http://stefaanlippens.net/python-pickling-and-dealing-with-attributeerror-module-object-has-no-attribute-thing.html和其他帖子解决它,但我无法弄明白。如果我使用不使用自定义类的不同pickle对象,它可以工作。任何想法如何解决这一问题?代码和错误如下:
这是产生pickle对象的脚本:
train_et.py
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import Pipeline
import pickle
from sklearn.externals import joblib
from sklearn.pipeline import FeatureUnion
from sklearn.feature_extraction import DictVectorizer
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.base import BaseEstimator, TransformerMixin
class ItemSelector(BaseEstimator, TransformerMixin):
def __init__(self, column):
self.column = column
def fit(self, X, y=None, **fit_params):
return self
def transform(self, X):
return (X[self.column])
class TextStats(BaseEstimator, TransformerMixin):
"""Extract features from each document for DictVectorizer"""
def fit(self, x, y=None):
return self
def transform(self, posts):
return [{'REPORT_M': text} for text in posts]
def train():
data = joblib.load('data_df.pkl')
# train and predict
classifier = Pipeline([
('union', FeatureUnion([
('text', Pipeline([
('selector', ItemSelector(column='TEXT')),
('tfidf_vec', TfidfVectorizer(max_df=0.8
])),
('category', Pipeline([
('selector', ItemSelector(column='CATEGORY')),
('stats', TextStats()),
('vect', DictVectorizer())
]))
])),
('clf', ExtraTreesClassifier(n_estimators=30, max_depth=300, min_samples_split=6, class_weight='balanced'))])
classifier.fit(data, data.y)
joblib.dump(classifier, 'et20000.pkl')
if __name__ == '__main__':
train()
然后在我的典型烧瓶项目结构中,我执行run.py
server
├── run.py
├── flask
├── app
│ ├── load.py
│ ├── __init.py__
│ ├── train_et.py
│ ├── views.py
│ ├── pipeline_classes.py
│ ├── ml
│ │ ├── et20000.pkl
__ init.py __
from flask import Flask
app = Flask(__name__)
app.config.from_object('config')
from app import views
run.py
from app import app
if __name__ == '__main__':
app.run(debug=True)
views.py
from app import app
from flask import render_template
from .load import load
@app.before_first_request
def load_classifier():
print("data loading")
global loaded
loaded = load()
print("data loaded")
load.py
import pickle
import pandas as pd
from app import train_et
from app.train_et import ItemSelector, TextStats
def load():
clf_ = pd.read_pickle('app/ml/et20000.pkl')
return(clf)
我收到以下错误:
builtins.AttributeError
AttributeError: module '__main__' has no attribute 'ItemSelector'
使用Traceback :
func()
File "/home/q423446/server/app/views.py", line 19, in load_classifier
loaded = load()
File "/home/q423446/server/app/load.py", line 10, in load
clf_ = pd.read_pickle('app/ml/et20000.pkl')
File "/usr/local/lib/python3.5/dist-packages/pandas/io/pickle.py", line 68, in read_pickle
return try_read(path, encoding='latin1')
File "/usr/local/lib/python3.5/dist-packages/pandas/io/pickle.py", line 62, in try_read
return pc.load(fh, encoding=encoding, compat=True)
File "/usr/local/lib/python3.5/dist-packages/pandas/compat/pickle_compat.py", line 117, in load
return up.load()
File "/usr/lib/python3.5/pickle.py", line 1039, in load
dispatch[key[0]](self)
File "/usr/lib/python3.5/pickle.py", line 1334, in load_global
klass = self.find_class(module, name)
File "/usr/lib/python3.5/pickle.py", line 1388, in find_class
return getattr(sys.modules[module], name)
答案 0 :(得分:1)
问题是我用joblib.dump创建了pickle对象,但用pd.read_pickle加载它。