h2o workshop code recipe on testing(splits)

business-science / modeltime.h2o

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

https://business-science.github.io/modeltime.h2o/

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h2o workshop code recipe on testing(splits) #18

Open Steviey opened 3 years ago

Steviey commented 3 years ago

In the workshop code, testing(splits) has no recipe. https://github.com/business-science/modeltime_h2o_workshop/blob/master/forecasting_modeltime_h2o.R Is this normal? In tidymodels the parsnip::predict()-function implicitly adds recipes to new data. Does modeltime_calibrate() or modeltime_forecast() the same? Where can I find essential documentations, how to handle recipes correctly with modeltime?