Comments (3)
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@cantino Thanks for your reply. But I still did not get it.
It was only trained once on my own data, now it is used to prioritize results.
would you please point me how it will prioritize the results?
Because as I found history just use default network and network in train does not updated.
only trained once your data
Do you mean it will stop after training? or just keep unchanged after some training loops?
Because the out loop is forever in train.
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Yes, it's a static network, it isn't updated as you use it. It honestly doesn't add a lot but was a way to tune a search algorithm that seems to work fairly well.
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