systemML:“JavaPackage”不可调用。当我使用MLContext时

我按照教程中的，我选择的样本笔记本深入学习图像分类，当我运行 ml=MLContextsc，出现如下错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~/.local/lib/python3.5/site-packages/systemml/classloader.py in createJavaObject(sc, obj_type)
     86     try:
---> 87         return _createJavaObject(sc, obj_type)
     88     except (py4j.protocol.Py4JError, TypeError):

~/.local/lib/python3.5/site-packages/systemml/classloader.py in _createJavaObject(sc, obj_type)
     46     if obj_type == 'mlcontext':
---> 47         return sc._jvm.org.apache.sysml.api.mlcontext.MLContext(sc._jsc)
     48     elif obj_type == 'dummy':

TypeError: 'JavaPackage' object is not callable

During handling of the above exception, another exception occurred:

Py4JJavaError                             Traceback (most recent call last)
<ipython-input-5-724894051c3e> in <module>()
----> 1 ml = MLContext(sc)

~/.local/lib/python3.5/site-packages/systemml/mlcontext.py in __init__(self, sc)
    697             raise ValueError("Expected sc to be a SparkContext or SparkSession, got " % str(type(sc)))
    698         self._sc = sc
--> 699         self._ml = createJavaObject(sc, 'mlcontext')
    700 
    701     def __repr__(self):

~/.local/lib/python3.5/site-packages/systemml/classloader.py in createJavaObject(sc, obj_type)
     92         # First load SystemML
     93         jar_file_name = _getJarFileName(sc, '')
---> 94         x = _getLoaderInstance(sc, jar_file_name, 'org.apache.sysml.utils.SystemMLLoaderUtils', hint + 'SystemML.jar')
     95         x.loadSystemML(jar_file_name)
     96         try:

~/.local/lib/python3.5/site-packages/systemml/classloader.py in _getLoaderInstance(sc, jar_file_name, className, hint)
     69         jar_file_url_arr[0] = jar_file_url
     70         url_class_loader = sc._jvm.java.net.URLClassLoader(jar_file_url_arr, sc._jsc.getClass().getClassLoader())
---> 71         c1 = sc._jvm.java.lang.Class.forName(className, True, url_class_loader)
     72         return c1.newInstance()
     73     else:

/usr/local/lib/python3.5/dist-packages/py4j/java_gateway.py in __call__(self, *args)
   1158         answer = self.gateway_client.send_command(command)
   1159         return_value = get_return_value(
-> 1160             answer, self.gateway_client, self.target_id, self.name)
   1161 
   1162         for temp_arg in temp_args:

~/software/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, **kw)
     61     def deco(*a, **kw):
     62         try:
---> 63             return f(*a, **kw)
     64         except py4j.protocol.Py4JJavaError as e:
     65             s = e.java_exception.toString()

/usr/local/lib/python3.5/dist-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    318                 raise Py4JJavaError(
    319                     "An error occurred while calling {0}{1}{2}.\n".
--> 320                     format(target_id, ".", name), value)
    321             else:
    322                 raise Py4JError(

Py4JJavaError: An error occurred while calling z:java.lang.Class.forName.
: java.lang.ClassNotFoundException: org.apache.sysml.utils.SystemMLLoaderUtils
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:280)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:214)
    at java.lang.Thread.run(Thread.java:748)

似乎找不到SystemML.jar？我下载的systemml二进制文件可能包括这个文件。但我不知道我能做什么。

---

谢谢谢谢

正如您正确指出的，发生错误是因为找不到SystemML类。有两种方法可以解决此问题：

建议不要下载python文件，而是建议通过pip安装SystemML：pip安装SystemML发布版本或pip安装https://sparktc.ibmcloud.com/repo/latest/systemml-1.0.0-SNAPSHOT-python.tar.gz 最新代码。这需要包装必要的罐子

如果您更喜欢使用下载的python文件，那么您必须提供和通过pyspark的-driver-class-path选项

---

谢谢你的回答！但当我输入import systemml时，错误没有发生。我想这意味着我已经正确安装了SystemML。当我添加时，运行代码import SystemML as sml import numpy as np from pyspark.context import SparkContext from pyspark.sql.session import SparkSession sc=SparkContext'local'm1=sml.matrixnp.ones3,3+2 printm1.sumaxis=1.toNumPy错误更改如下：INFO SparkContext:Added JAR**/systemml-0.15.0-extra.JAR位于**/systemml-0.15.0-extra.JAR***TypeError:“JavaPackage”对象不可调用，因为首先添加了额外的JAR，您可能遇到了提交最近修复的错误：此提交中的错误是由于加载jar的顺序造成的，这取决于前面的os.listdir。要在上述提交之前使用以前的版本ie，您必须使用我先前评论中描述的选项2。