this is not a duplicate question, i see this, i want to run a java prograrm and have this error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction.empty2D(CRFLogConditionalObjectiveFunction.java:892)
at edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction.<init>(CRFLogConditionalObjectiveFunction.java:134)
at edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction.<init>(CRFLogConditionalObjectiveFunction.java:117)
at edu.stanford.nlp.ie.crf.CRFClassifier.getObjectiveFunction(CRFClassifier.java:1792)
at edu.stanford.nlp.ie.crf.CRFClassifier.trainWeights(CRFClassifier.java:1798)
at edu.stanford.nlp.ie.crf.CRFClassifier.train(CRFClassifier.java:1713)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.train(AbstractSequenceClassifier.java:763)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.train(AbstractSequenceClassifier.java:751)
at edu.stanford.nlp.ie.crf.CRFClassifier.main(CRFClassifier.java:2917)
according this i try this:
java -Xms2000m -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -prop fa.prop
but the error not fix and i see error again! when i was set a value more than 2000m, my os crashed, or i get this output:
...
...
//stanford log
...
Time to convert docs to data/labels: 8.8 seconds
Killed
how i can fix it
edit:
and for this
[stanford-ner]$ java -Xms1G -Xmx50G -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -prop fa.prop
i have this error:
[1000][2000][3000][4000][5000][6000]OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00007f04c7c00000, 1225785344, 0) failed; error='Cannot allocate memory' (errno=12)
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (malloc) failed to allocate 1225785344 bytes for committing reserved memory.
# An error report file with more information is saved as:
# /stanford-ner/hs_err_pid1536.log
Looking at the software's purpose it is likely that it is very memory-consuming, so it is reasonable to assume that 1GB of heap just isn't sufficient, so you'll have to further increase your heap-size.
The messages you get when you try imply that you are using
which might both limit you to a maximum heap-size of about 1.5GB (at least on windows).
So make sure you use a 64bit-VM on a 64-bit-OS and then try again to increase the heap-size.