HeatWave AutoML supports the following training models. When
training a model, use the
ML_TRAIN
model_list
and
exclude_model_list
options to specify the
training models to consider or exclude.
Section 3.15.12, “Model Metadata” includes the
algorithm_name
field which defines the
model type.
-
Classification models:
SVC.
ExtraTreesClassifier. Supported as of MySQL 8.1.0.
-
Regression models:
SVR.
ExtraTreesRegressor. Supported as of MySQL 8.1.0.
-
Forecasting models:
-
Univariate endogenous models:
ThetaForecaster. Supported as of MySQL 8.0.32.
ETSForecaster. Supported as of MySQL 8.0.32.
STLwESForecaster
: STLForecast with ExponentialSmoothing substructure. Supported as of MySQL 8.0.32.STLwARIMAForecaster
: STLForecast with ARIMA substructure. Supported as of MySQL 8.0.32.
-
Univariate endogenous with exogenous models:
SARIMAXForecaster. Supported as of MySQL 8.0.32.
-
Multivariate endogenous with exogenous models:
VARMAXForecaster. Supported as of MySQL 8.0.32.
-
Univariate or multivariate endogenous with exogenous models:
DynFactorForecaster. Supported as of MySQL 8.0.32.
-
-
Anomaly detection models:
The only model is GkNN. See: Section 3.10, “Anomaly Detection”.
-
Recommendation models:
-
Recommendation models that rate users or items to use with explicit feedback.
-
Matrix factorization models:
-
Recommendation models that rank users or items to use with implicit feedback.
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