I have a dataset comprised of ~200k labeled points whose features are
SparseVectors with ~20M features. I take 5% of the data for a training set.
> model = LogisticRegressionWithSGD.train(training_set)
fails with
ERROR:py4j.java_gateway:Error while sending or receiving.
Traceback (most recent call last):
File
"/cluster/home/roskarr/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 472, in send_command
self.socket.sendall(command.encode('utf-8'))
File "/cluster/home/roskarr/miniconda/lib/python2.7/socket.py", line 224,
in meth
return getattr(self._sock,name)(*args)
error: [Errno 32] Broken pipe
I'm at a loss as to where to begin to debug this... any suggestions? Thanks,
Rok
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