autoMlAlgorithms

The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.

• **For the tabular problem type TabularJobConfig:**Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm. + In ENSEMBLING mode: + "catboost" + "extra-trees" + "fastai" + "lightgbm" + "linear-learner" + "nn-torch" + "randomforest" + "xgboost"

• In HYPERPARAMETER_TUNING mode:

• "linear-learner"

• "mlp"

• "xgboost"

• For the time-series forecasting problem type TimeSeriesForecastingJobConfig:

• Choose your algorithms from this list.

• "cnn-qr"

• "deepar"

• "prophet"

• "arima"

• "npts"

• "ets"