{"templateId":"markdown","sharedDataIds":{"sidebar":"sidebar-sidebars.yaml"},"props":{"metadata":{"markdoc":{"tagList":[]},"redocly_category":"Products","product_name":"Machine Learning","type":"markdown"},"seo":{"title":"AutoML Workflow Operators","description":"Treasure Data Product Documentation · Collect and Unify · Segment and Activate · Experiment and Analyze · Decisioning Automate with AI Scale and Trust.","siteUrl":"https://docs.treasuredata.com","lang":"en-US","llmstxt":{"hide":false,"sections":[{"title":"Table of contents","includeFiles":["**/*"],"excludeFiles":[]}],"excludeFiles":[]}},"dynamicMarkdocComponents":[],"compilationErrors":[],"ast":{"$$mdtype":"Tag","name":"article","attributes":{},"children":[{"$$mdtype":"Tag","name":"Heading","attributes":{"level":1,"id":"automl-workflow-operators","__idx":0},"children":["AutoML Workflow Operators"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["AutoML adds workflow operators (base & solution packages). For general operator concepts, see Treasure Workflow Reference."]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"base-package-operators","__idx":1},"children":["Base Package Operators"]},{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":[{"$$mdtype":"Tag","name":"strong","attributes":{},"children":["ml_train>"]},{"$$mdtype":"Tag","name":"br","attributes":{},"children":[]},"Train: takes a TD table as input, builds multiple models, ensembles them, stores model artifacts internally (S3) for inference."]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":[{"$$mdtype":"Tag","name":"strong","attributes":{},"children":["ml_predict>"]},{"$$mdtype":"Tag","name":"br","attributes":{},"children":[]},"Predict: takes test data + model to produce predictions, leaderboards, and statistics as a TD table."]}]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["Currently these apply to AutoGluon notebooks (",{"$$mdtype":"Tag","name":"code","attributes":{},"children":["gluon_train"]},", ",{"$$mdtype":"Tag","name":"code","attributes":{},"children":["gluon_predict"]},")."]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"custom-solution-package-operator","__idx":2},"children":["Custom Solution Package Operator"]},{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":[{"$$mdtype":"Tag","name":"strong","attributes":{},"children":["ipynb>"]},{"$$mdtype":"Tag","name":"br","attributes":{},"children":[]},"General Python notebook task; executes solution‑specific logic defined by chosen package."]}]}]},"headings":[{"value":"AutoML Workflow Operators","id":"automl-workflow-operators","depth":1},{"value":"Base Package Operators","id":"base-package-operators","depth":2},{"value":"Custom Solution Package Operator","id":"custom-solution-package-operator","depth":2}],"frontmatter":{"seo":{"title":"AutoML Workflow Operators"}},"lastModified":"2025-11-22T02:43:27.000Z","pagePropGetterError":{"message":"","name":""}},"slug":"/products/customer-data-platform/machine-learning/automl/automl-workflow-operators","userData":{"isAuthenticated":false,"teams":["anonymous"]},"isPublic":true}