ModuleNotFoundError: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，但是，在this tutorial之后，键入命令python app.py时出现以下错误：

Traceback (most recent call last):   
File "C:\Users\Breno\Desktop\flask-api\app.py", line 24, in <module>
        model = p.load(open(modelfile, 'rb'))
ModuleNotFoundError: No module named 'sklearn.tree.tree'

我的代码：

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')

有人能帮我吗

Answer 1

pickle不一定在scikit学习版本之间兼容，因此这种行为是预期的（并且用例不受支持）。有关更多详细信息，请参见https://scikit-learn.org/dev/modules/model_persistence.html#model-persistence。用joblib替换pickle。 举例来说：

>>> 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

对于任何遇到这个问题的人（可能是处理很久以前编写的代码），sklearn.tree.tree现在在sklearn.tree下（从v0.24）。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，请使用：

from sklearn.tree import BaseDecisionTree

Answer 3

问题在于sklearn的版本。模块sklearn.tree.tree从版本0.24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