java.lang.NullPointerException issue while calling PerceptronApproach().setCorpus()

Hi,

can anyone tell me why this issue is coming ?

while setting corpus after done with pos-tag this issue is coming. specifically in this line. .setCorpus("file:///" + os.getcwd() + "/../../../src/test/resources/anc-pos-corpus-small/","|")

is it permission issue ? i don’t think so, bcs other files are able to be created.

python - 2.7 spark - 2.4.0 spark-nlp - latest version

more on issue details :

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<ipython-input-53-d0ecfbd07161> in <module>()
      2 #import pdb;pdb.set_trace()
      3 print("Start fitting")
----> 4 model = pipeline.fit(data)
      5 print("Fitting is ended")
      6 print (time.time() - start)

/spark/python/pyspark/ml/base.pyc in fit(self, dataset, params)
    130                 return self.copy(params)._fit(dataset)
    131             else:
--> 132                 return self._fit(dataset)
    133         else:
    134             raise ValueError("Params must be either a param map or a list/tuple of param maps, "

/spark/python/pyspark/ml/pipeline.pyc in _fit(self, dataset)
    107                     dataset = stage.transform(dataset)
    108                 else:  # must be an Estimator
--> 109                     model = stage.fit(dataset)
    110                     transformers.append(model)
    111                     if i < indexOfLastEstimator:

/spark/python/pyspark/ml/base.pyc in fit(self, dataset, params)
    130                 return self.copy(params)._fit(dataset)
    131             else:
--> 132                 return self._fit(dataset)
    133         else:
    134             raise ValueError("Params must be either a param map or a list/tuple of param maps, "

/spark/python/pyspark/ml/wrapper.pyc in _fit(self, dataset)
    293 
    294     def _fit(self, dataset):
--> 295         java_model = self._fit_java(dataset)
    296         model = self._create_model(java_model)
    297         return self._copyValues(model)

/spark/python/pyspark/ml/wrapper.pyc in _fit_java(self, dataset)
    290         """
    291         self._transfer_params_to_java()
--> 292         return self._java_obj.fit(dataset._jdf)
    293 
    294     def _fit(self, dataset):

/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in __call__(self, *args)
   1255         answer = self.gateway_client.send_command(command)
   1256         return_value = get_return_value(
-> 1257             answer, self.gateway_client, self.target_id, self.name)
   1258 
   1259         for temp_arg in temp_args:

/spark/python/pyspark/sql/utils.pyc 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()

/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
--> 328                     format(target_id, ".", name), value)
    329             else:
    330                 raise Py4JError(

Py4JJavaError: An error occurred while calling o1085.fit.
: java.lang.NullPointerException
	at com.johnsnowlabs.nlp.util.io.ResourceHelper$.parseTupleSentences(ResourceHelper.scala:229)
	at com.johnsnowlabs.nlp.annotators.pos.perceptron.PerceptronApproach.train(PerceptronApproach.scala:110)
	at com.johnsnowlabs.nlp.annotators.pos.perceptron.PerceptronApproach.train(PerceptronApproach.scala:20)
	at com.johnsnowlabs.nlp.AnnotatorApproach.fit(AnnotatorApproach.scala:33)
	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:282)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:238)
	at java.lang.Thread.run(Thread.java:748)

Thanks.

[saif-ellafi]

The error going on here is somewhere related between Spark and py4j.

Spark 2.4.x is very recently out, I haven’t tried that version myself yet. Any chance you can try back 2.3.1? Also, please make sure your SPARK_HOME variable is properly set to whatever spark directory you are running against in jupyter.

This issue seems to be pointing out to a corrupted environment setting somewhere. Maybe different Spark installations or environment variables pointing to different roots. Taking a look…

[maziyarpanahi]

This has been fixed in new releases of spark-nlp against Spark 2.4.0.