Forecasts are generated by running
ML_TRAIN and specifying a
forecasting task as a JSON object.
ML_PREDICT_TABLE can then predict
the values for the selected column.
ML_SCORE can also be used to
score the model quality.
You can create a timeseries forecast for a single column with a numeric data type. In forecasting terms, this is a univariate endogenous variable.