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... Is this a feature request, or could we archive something similar already?
Application:
My xgboost-metalearner fails, if a prediction of a submodel fails. With a recipe, we could eliminate/impute NA an NaN entries in submodel_predictions.
The text was updated successfully, but these errors were encountered:
ensemble_model_spec() %>% add_recipe(recipe_spec)
... Is this a feature request, or could we archive something similar already?
Application:
My xgboost-metalearner fails, if a prediction of a submodel fails. With a recipe, we could eliminate/impute NA an NaN entries in submodel_predictions.
The text was updated successfully, but these errors were encountered: