HeatWave Release Notes
To generate a forecast, run
ML_TRAIN
and specify a
forecasting task as a JSON object literal.
ML_PREDICT_TABLE
can then predict
the values for the selected column. Use
ML_SCORE
to score the model
quality.
Create a timeseries forecast for a single column with a numeric data type. In forecasting terms, this is a univariate endogenous variable.
HeatWave AutoML supports multivariate endogenous forecasting models, and exogenous forecasting models.