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main cleanup

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Dobromir Popov
2025-09-30 23:56:36 +03:00
parent 468a2c2a66
commit 608da8233f
52 changed files with 5308 additions and 9985 deletions
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@@ -81,4 +81,7 @@ use existing checkpoint manager if it;s not too bloated as well. otherwise re-im
we should load the models in a way that we do a back propagation and other model specificic training at realtime as training examples emerge from the realtime data we process. we will save only the best examples (the realtime data dumps we feed to the models) so we can cold start other models if we change the architecture. if it's not working, perform a cleanup of all traininn and trainer code to make it easer to work withm to streamline latest changes and to simplify and refactor it
we should load the models in a way that we do a back propagation and other model specificic training at realtime as training examples emerge from the realtime data we process. we will save only the best examples (the realtime data dumps we feed to the models) so we can cold start other models if we change the architecture. if it's not working, perform a cleanup of all traininn and trainer code to make it easer to work withm to streamline latest changes and to simplify and refactor it
let's also work on the transformer model - we will add a candlestick tokenizer that will use 8 dimentional vectors to represent candlesticks: 5 dim for OHLCV data, 1 for the timestamp, timeframe and symbol