Machine Learning
Train a model on any table, carry it through the workflow as a one-row model table, and score data tables with it.
- ML: Train Model — fit a scikit-learn model (classification or regression) on a source table and write a queryable one-row model table with the fitted model, parameters, feature list, and training metrics.
- ML: Score — score a data table with a trained model table and append a prediction column.
See Migrate Alteryx Workflows for how Alteryx Assisted Modeling pipelines convert to these steps.