word2vec VS nakama

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The classifier is something I've been struggling with, because the Naive Bayes classifier is very weak when it comes to short phrases. I've been experimenting with word2vec and golearn to produce a more powerful and customizable classifier.

nakama: https://github.com/heroiclabs/nakama

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you can do that, but for what platform? html5? windows? android?, the most easiest way is use firestore a service from firebase (offer a free tier), it is the easiest way not the better, other way is use a service like nakama that is more professional and something in the middle can be mmm pocketbase or supabase.

I recommend the backend solution called Nakama since you’re using Godot: https://heroiclabs.com/

You could create all this yourself, or you can use existing solutions which handle all this (and much more I didn't mention). One that I'm aware of that works with Godot is Nakama. They have a paid hosting option, or you can host the application yourself.

I read using nakama server for this is convinient. https://heroiclabs.com/

Does anyone have recommendations on what to use? I've done a bit of research and found https://heroiclabs.com/. It's a bit unclear to me if it actually supports server side state because it talks about 'hosts' a bit, but I think it does...and it seems like you can host it yourself to avoid the $600 a MONTH! pricetag. But any other recommendations? Has anyone used heroic before?

You might be interested in Nakama server from https://heroiclabs.com/

Depending on how much effort you want to put in to this, you might consider something like Nakama: https://github.com/heroiclabs/nakama

There have been mentions of Normcore, Fish-Net, and Nakama as well.