fix: numpy precision #226
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fix: numpy precision #226
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Feat/lags is none
added Value error to prevent running the backtest without features
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Ciao @jhug12, sorry for being late and thanks for the great PR. I merged a few things in the codebase: would you mind rebasing your PR? Also: I see you committed other fixes and improvements (thanks once more 🤗) but I am not sure whether they relate to this PR. I can help you with putting some changes in other pull requests, as they will be easier to review. (I was actually thinking whether we should just map the datatypes that come in and when we perform the conversion just respect those, and raise a warning if they're not F64) |
baggiponte
added
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Fixes #225
Summary
Changes precision from float32 to float64 for conversion from polars DataFrame to numpy ndarray