How can the trained model be saved for future scoring?

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Réponse

You can use the 'store' parameter to save the model in a binary table object. This object can then be used for scoring new data with the bartScore action.
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bartGauss

bart

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Which parameter is used to specify the input data table? How can I define the model's dependent and independent variables? What does the 'nTree' parameter control? How are the MCMC iterations managed in this action? How does the action handle missing values in predictor variables?
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