我爬取了2g大的训练数据，训练完成后jre会报错不支持小型转储

[zhounan-n]

JFastText jft = new JFastText(); // Train supervised model jft.runCmd(new String[]{ "supervised", "-input", "/resource/trainseg2.txt", "-output", "/resource/trainseg2.model"， "-bucket", "100", "-minCount", "1" }); 我训练的代码是这样的，数据有一个g的时候是不报错的，超过一定容量就报错了， 是我的参数不对还是其他原因？日志文件上传不成功，我复制到下面 #

A fatal error has been detected by the Java Runtime Environment:

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EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x00007fff89122c38, pid=6256, tid=0x000000000000126c

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JRE version: Java(TM) SE Runtime Environment (8.0_102-b14) (build 1.8.0_102-b14)

Java VM: Java HotSpot(TM) 64-Bit Server VM (25.102-b14 mixed mode windows-amd64 compressed oops)

Problematic frame:

C [jniFastTextWrapper.dll+0x12c38]

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Failed to write core dump. Minidumps are not enabled by default on client versions of Windows

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If you would like to submit a bug report, please visit:

http://bugreport.java.com/bugreport/crash.jsp

The crash happened outside the Java Virtual Machine in native code.

See problematic frame for where to report the bug.

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[zhounan-n]

help...

[SamMohel]

same problem ...

[youyangluo]

maybe you can set the bucket smaller

[lidalei]

I'd suggest you train with the official Python binding or just in the terminal. Then you can load the trained model in Java.