AutoML

Train the candidates. Compare the winners.

AutoML is the execution layer after Decision Intelligence. Carry forward the recommended shortlist or choose individual models, then benchmark them in one place.

Start from the Decision Intelligence shortlist or override it manually.
Run training, backtesting, and candidate comparison in one workflow.
Finish with a ranked deployment recommendation and exportable settings.

Candidate selection modes

Execution workflow

1. Carry forward or choose

Start from the Decision Intelligence shortlist or manually define the candidate set.

2. Launch benchmark

Train baseline, tuned, and challenger variants across the selected candidates.

3. Compare results

Review holdout metrics, backtests, and the recommended deployment candidate.