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i just implemented a project in elixir with LLM support and would never have considered that before. (i had never used elixir before) - So who knows maybe it will help adoption?

Do any JAX experts know if there is an equivalent to https://captum.ai/ - a model interpretability library for pytorch? In particular i want to be able to measure feature importanc…

you probably know this but you're building a nice labelled training set for machine learning to help you automate the process later

maybe i'm missing the point, but i can't see the advantage of using this over pandas

I think there may be a problem with this kind of analysis - it seems to me that the "riskier" plays (2 point conversion, going for it, etc.) - are more likely attempted when coache…

no. that would only work if every traded product on the planet was in a single matching engine.