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By: sistoviejo
I'm trying to use the Neural networks demo included in SpeakerIdentApp but
haven't
been able to successfully run it. I'm using the following arguments --train
-raw -aggr -nn.
When I run it with the stable version of MARF (0.3.0.5,
marf-0.3.0-devel-20060226)
it seems to eat more and more memory until the computer runs out of it. How
much memory would be enough?
When I use the latest development snapshot (0.3.0.6, marf-0.3.0-devel-20070108)
an Exception is risen. I am attaching the Exception here. The part surrounded
by <BEGIN> and </END> tags repeats about 70 times. I think this is probably
caused by a recursion that never ends.
Exception in thread "main" java.lang.StackOverflowError
at java.io.ObjectStreamClass$FieldReflector.getPrimFieldValues(Unknown
Source)
at java.io.ObjectStreamClass.getPrimFieldValues(Unknown Source)
at java.io.ObjectOutputStream.defaultWriteFields(Unknown Source)
at java.io.ObjectOutputStream.defaultWriteObject(Unknown Source)
<BEGIN>
at java.util.ArrayList.writeObject(Unknown Source)
at sun.reflect.GeneratedMethodAccessor1.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at java.io.ObjectStreamClass.invokeWriteObject(Unknown Source)
at java.io.ObjectOutputStream.writeSerialData(Unknown Source)
at java.io.ObjectOutputStream.writeOrdinaryObject(Unknown Source)
at java.io.ObjectOutputStream.writeObject0(Unknown Source)
at java.io.ObjectOutputStream.defaultWriteFields(Unknown Source)
at java.io.ObjectOutputStream.writeSerialData(Unknown Source)
at java.io.ObjectOutputStream.writeOrdinaryObject(Unknown Source)
at java.io.ObjectOutputStream.writeObject0(Unknown Source)
at java.io.ObjectOutputStream.writeObject(Unknown Source)
</END>
Prior to running each one of these tests I cleaned up the workspace, deleting
gzbin files generated by MARF. I also ran SpeakerIdentApp with the --reset
argument
before each run. The tests were ran several times with the same results in a
Linux machine and one running MS Windows.
I also tried SpeakerIdentApp using these arguments: --train -raw -aggr -eucl.
This test works gracefuly.
Thanks in advance!
Best regards,
Silvio
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