---

name: multitask-models description: "DeepCTR multitask workflows for SharedBottom, ESMM, MMOE, and PLE." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Multitask Models

Use this sub-skill for DeepCTR multi-output learning tasks that need shared feature inputs and task-specific heads.

Covers

• SharedBottom, ESMM, MMOE, and PLE
• task name / task type alignment
• binary vs regression validation where supported
• shared feature reuse from one dnn_feature_columns list
• compile / fit / evaluate / predict for multi-output models
• tiny synthetic smoke checks via the bundled script

Route elsewhere

• Single-output CTR or regression model selection: keras-model-workflows
• Feature column construction details: data-and-feature-columns
• Estimator workflows: estimator-workflows

Read first

• API reference: constructor signatures, task validation, and output name order
• Workflows: two-label preprocessing, compile/fit/evaluate/predict patterns, and model selection
• Troubleshooting: task-list, string sparse, loss-order, and output-shape failures

Smoke check

• Tiny multitask smoke: synthetic checks for SharedBottom, ESMM, MMOE, and PLE