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Predictions are generated by running
ML_PREDICT_ROW
or
ML_PREDICT_TABLE
on trained models. The row or table of data must have the same
feature columns as the data used to train the model. If the
target column exists in the data to run predictions on, it is
not considered during prediction generation.
ML_PREDICT_ROW
generates predictions for one or more rows of data.
ML_PREDICT_TABLE
generates predictions for an entire table of data and saves the
results to an output table.