mljar-supervised
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mljar is crashing on titanic data
mljar version : 0.11.2 python 3.8 on macOS log : 1_Linear average_precision 0.812127 trained in 15.46 seconds (1-sample predict time 0.0346 seconds)
- Step default_algorithms will try to check up to 5 models
Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)
report dump : Crashed Thread: 11
Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0x0000000000000020 Exception Codes: 0x0000000000000001, 0x0000000000000020 Exception Note: EXC_CORPSE_NOTIFY
Termination Reason: Namespace SIGNAL, Code 11 Segmentation fault: 11 Terminating Process: exc handler [55564]
dataset from https://www.kaggle.com/c/titanic/data
thanks @yairVanti for reporting the issue, what hardware do you have? what is OS version?
using MaxOS monterey, version 12.4
I'm closing the issue, I cant reproduce it. If you still have problems, please reopen.
Have a nice day!