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add changelog note
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HISTORY.md

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`InitFromParams(mode_estimate)`, where `mode_estimate` was obtained from an optimisation on a Turing model, now accepts a second optional argument which provides a fallback initialisation strategy if some parameters are missing from `mode_estimate`.
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This also means that you can now invoke `returned(model, mode_estimate)` to calculate a model's return values given the parameters in `mode_estimate`.
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# 0.42.0
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## DynamicPPL 0.39

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