Python ImportError:ubuntu 14.04上没有名为resources的模块

我得到了一个奇怪的错误，没有找到命名资源的模块。我在SO上读了很多答案，他们也遇到了类似的问题，但都是在windows上。所以，我无法理解为什么这个问题会发生在我的机器上（ubuntu 14.04）。我试着在别人的ubuntu 14.04机器上运行下面的代码，效果很好。有人能帮我解决这个问题吗

代码：

import pickle
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.externals import joblib
from sklearn2pmml import PMMLPipeline
from sklearn2pmml import sklearn2pmml

# filename = 'TrainLSDataset.csv'
f = open("TrainLSDataset.csv")
data = np.loadtxt(f,delimiter = ',')

x = data[:, 1:]
y = data[:, 0]
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3)

clf = MLPClassifier(solver='lbfgs', alpha=1e-5,
                    hidden_layer_sizes=(5), random_state=1, max_iter=100)

clf.fit(X_train, y_train)
pipeline = PMMLPipeline([
  ('clf', clf)
])

sklearn2pmml(pipeline, "pipeline.pmml",debug = True)

('python: ', '2.7.9')
('sklearn: ', '0.18.1')
('sklearn.externals.joblib:', '0.10.3')
('pandas: ', u'0.19.1')
('sklearn_pandas: ', '1.3.0')
('sklearn2pmml: ', '0.16.0')
Traceback (most recent call last):
  File "LeadScore.py", line 49, in <module>
    sklearn2pmml(pipeline, "pipeline.pmml",debug = True)
  File "/home/naresh/Desktop/Work/Spark-CassandraWork/MachineLearning/sklearn2pmml.py", line 120, in sklearn2pmml
    cmd = ["java", "-cp", os.pathsep.join(_package_classpath() + user_classpath), "org.jpmml.sklearn.Main"]
  File "/home/naresh/Desktop/Work/Spark-CassandraWork/MachineLearning/sklearn2pmml.py", line 75, in _package_classpath
    resources = pkg_resources.resource_listdir("sklearn2pmml.resources", "")
  File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 1220, in resource_listdir
    return get_provider(package_or_requirement).resource_listdir(
  File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 430, in get_provider
    __import__(moduleOrReq)
ImportError: No module named resources

错误：

import pickle
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.externals import joblib
from sklearn2pmml import PMMLPipeline
from sklearn2pmml import sklearn2pmml

# filename = 'TrainLSDataset.csv'
f = open("TrainLSDataset.csv")
data = np.loadtxt(f,delimiter = ',')

x = data[:, 1:]
y = data[:, 0]
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3)

clf = MLPClassifier(solver='lbfgs', alpha=1e-5,
                    hidden_layer_sizes=(5), random_state=1, max_iter=100)

clf.fit(X_train, y_train)
pipeline = PMMLPipeline([
  ('clf', clf)
])

sklearn2pmml(pipeline, "pipeline.pmml",debug = True)

('python: ', '2.7.9')
('sklearn: ', '0.18.1')
('sklearn.externals.joblib:', '0.10.3')
('pandas: ', u'0.19.1')
('sklearn_pandas: ', '1.3.0')
('sklearn2pmml: ', '0.16.0')
Traceback (most recent call last):
  File "LeadScore.py", line 49, in <module>
    sklearn2pmml(pipeline, "pipeline.pmml",debug = True)
  File "/home/naresh/Desktop/Work/Spark-CassandraWork/MachineLearning/sklearn2pmml.py", line 120, in sklearn2pmml
    cmd = ["java", "-cp", os.pathsep.join(_package_classpath() + user_classpath), "org.jpmml.sklearn.Main"]
  File "/home/naresh/Desktop/Work/Spark-CassandraWork/MachineLearning/sklearn2pmml.py", line 75, in _package_classpath
    resources = pkg_resources.resource_listdir("sklearn2pmml.resources", "")
  File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 1220, in resource_listdir
    return get_provider(package_or_requirement).resource_listdir(
  File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 430, in get_provider
    __import__(moduleOrReq)
ImportError: No module named resources

（'python:'，'2.7.9'）
（'sklearn:'，'0.18.1'）
（'sklearn.externals.joblib:'，'0.10.3'）
（“熊猫：”，u'0.19.1'）
（“sklearn_熊猫：”、“1.3.0”）
（'sklearn2pmml:'，'0.16.0'）
回溯（最近一次呼叫最后一次）：
文件“LeadScore.py”，第49行，在
sklearn2pmml（管道，“pipeline.pmml”，debug=True）
文件“/home/naresh/Desktop/Work/Spark CassandraWork/MachineLearning/sklearn2pmml.py”，第120行，在sklearn2pmml中
cmd=[“java”，“-cp”，os.pathsep.join（_package_classpath（）+user_classpath），“org.jpmml.sklearn.Main”]
文件“/home/naresh/Desktop/Work/Spark CassandraWork/MachineLearning/sklearn2pmml.py”，第75行，在包类路径中
resources=pkg\u resources.resource\u listdir（“sklearn2pmml.resources”，”）
文件“/usr/local/lib/python2.7/dist-packages/pkg_-resources/_-init__.py”，第1220行，在resource_-listdir中
返回get\ U提供程序（包\或\需求）。资源\列表目录(
文件“/usr/local/lib/python2.7/dist packages/pkg_resources/_init__.py”，第430行，在get_provider中
__导入（模块错误）
ImportError:没有名为resources的模块

你能在python3中试用吗？确保你已经安装了

sklearn2pmml

所需的所有依赖项。是的，我确实尝试过python3，但得到了类似的错误。你能在python3中试用吗？确保你已经安装了

sklearn2pmml

所需的所有依赖项。是的，我确实尝试过python3，但得到了类似的错误