[Rspamd-Users] Neural Question

[Vsevolod Stakhov]

On 13/07/2024 19:24, christian via Users wrote:
> Hello,
> after the neural "max_trains = 100" has been trained, a process "rspam: 
> lua process: ANN train for SHORT/default" starts and uses a CPU core to 
> 100% permanently.
> 
> 
> New emails are learned until 100 entries are stored:
> 
> 2024-07-13 18:41:32 #729426(controller) <duy5w5>; neural; 
> neural.lua:707: cannot learn ANN rn_SHORT_default_bioioq5b_0 now: there 
> are not enough ham learn vectors (has {[spam] = 39, [ham] = 34} vectors; 
> 100 required)
> 2024-07-13 18:41:32 #729426(controller) <duy5w5>; neural; 
> neural.lua:707: cannot learn ANN rn_LONG_default_bioioq5b_0 now: there 
> are not enough ham learn vectors (has {[spam] = 351, [ham] = 297} 
> vectors; 1000 required)
> 
> 
> After this process has been started, no more SHORT:default entries 
> appear in the log. No emails are tagged either. It seems as if the 
> neural function freezes after reaching the 100 limit. It is the same 
> with the LONG with a value of 100. After reaching this limit, a process 
> starts which then constantly uses the CPU to its full capacity.
> 

Yes, that's exactly how NN learning works - it is CPU expensive task.