模块未找到错误：没有名为'sklearn.tree.tree'的模块

Question

我正在尝试学习如何使用Flask创建机器学习API，然而，遵循本教程，当我输入命令python app.py时出现以下错误:

Traceback (most recent call last):   
File "C:UsersBrenoDesktopflask-apiapp.py", line 24, in <module>
model = p.load(open(modelfile, 'rb'))
ModuleNotFoundError: No module named 'sklearn.tree.tree'

我代码:

from flask import Flask, request, redirect, url_for, flash, jsonify
import numpy as np
import pickle as p
import pandas as pd
import json
#from sklearn.tree import DecisionTreeClassifier
app = Flask(__name__)

@app.route('/api/', methods=['POST'])
def makecalc():
j_data = request.get_json()
prediction = np.array2string(model.predict(j_data))
return jsonify(prediction)

if __name__ == '__main__':
modelfile = 'models/final_prediction.pickle'    
model = p.load(open(modelfile, 'rb'))
app.run(debug=True,host='0.0.0.0')

有人能帮我一下吗?

Answer 1

pickle不一定在scikit-learn版本之间兼容，因此这种行为是预期的(并且不支持用例)。欲了解更多详情，请访问https://scikit-learn.org/dev/modules/model_persistence.html#model-persistence。将pickle替换为joblib。示例:

>>> from sklearn import svm
>>> from sklearn import datasets
>>> clf = svm.SVC()
>>> X, y= datasets.load_iris(return_X_y=True)
>>> clf.fit(X, y)
SVC()
>>> from joblib import dump, load
>>> dump(clf, open('filename.joblib','wb'))
>>> clf2 = load(open('filename.joblib','rb'))
>>> clf2.predict(X[0:1])
array([0])
>>> y[0]
0

Answer 2

对于遇到这个问题的人(可能处理很久以前编写的代码)，sklearn.tree.tree现在在sklearn.tree之下(从v0.24开始)。这可以从导入错误警告中看到:

from sklearn.tree.tree import BaseDecisionTree
/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.tree.tree module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.tree. Anything that cannot be imported from sklearn.tree is now part of the private API.
warnings.warn(message, FutureWarning)

相反,使用:

from sklearn.tree import BaseDecisionTree

Answer 3

问题是sklearn的版本。模块sklearn.tree.tree自0.24版本起被删除。最有可能的是，您的模型是使用旧版本生成的。尝试安装旧版本的sklearn:

pip uninstall scikit-learn
pip install scikit-learn==0.20.4