Hello,
I'm trying to run a classification task using mllib decision trees. After
successfully training the model, I was trying to test the model using some
sample rows when I hit this exception.
The code snippet that caused this error is :
model = DecisionTree.trainClassifier(parsedData, numClasses=2,
categoricalFeaturesInfo={0:3},
impurity='gini', maxDepth=30,
maxBins=100)
predictions = model.predict(parsedData.map(lambda x: x.features))
which is pretty much like the example given on the website.
I'm giving all the details that I think will help here (some of them might
not be totally useful). Please let me know if you need additional details.
Programming Language: Python
Platform: Linux (Ubuntu 14.04)
Dataset: A part of the KDD 1999 dataset with 19 attributes and 450K rows.
mllib version : The latest master. (Using master because of the issue
reported here
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-MLLIB-Decision-Tree-ArrayIndexOutOfBounds-Exception-td16907.html)
Stack Trace
-------------
Traceback (most recent call last):
File "/home/rprabhu/Coding/github/SDNDDoS/classification/DecisionTree.py",
line 49, in <module>
predictions = model.predict(parsedData.map(lambda x: x.features))
File "/home/rprabhu/Software/spark/python/pyspark/mllib/tree.py", line 42,
in predict
return self.call("predict", x.map(_convert_to_vector))
File "/home/rprabhu/Software/spark/python/pyspark/mllib/common.py", line
140, in call
return callJavaFunc(self._sc, getattr(self._java_model, name), *a)
File "/home/rprabhu/Software/spark/python/pyspark/mllib/common.py", line
117, in callJavaFunc
return _java2py(sc, func(*args))
File
"/home/rprabhu/Software/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File
"/home/rprabhu/Software/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 304, in get_return_value
py4j.protocol.Py4JError: An error occurred while calling o39.predict. Trace:
py4j.Py4JException: Method predict([class
org.apache.spark.api.java.JavaRDD]) does not exist
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:333)
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:342)
at py4j.Gateway.invoke(Gateway.java:252)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Note: I am not hitting this issue when I try to predict with just one row.
predictions = model.predict(row)
Can anyone let me know what is going wrong here?
Thanks,
Rahul
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