Hello, I’ve developed model I’d like to put into production however, I realize that when said model is in production, making OOS predictions fail because there is no observed data. It gives a shape mismatch error due to the training observed data used in the initial sampling. How do I make predi…

If you’re just doing out-of-sample prediction, you can pass an array of zeros to observed_eaches. The data won’t be used in the computation, but it will force the shapes to match. The recommended way to handle this is to pass a shape argument to the observed RV, so that it automatically re-sizes to…

How to make predictions in production without "observed eaches"

Questions v5

Jordan_Howell September 26, 2023, 9:48am 6

Perfect. Thanks. This will be my first bayesian model I put into production. Thanks for all the help over the last year.

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How to make predictions in production without "observed eaches"

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