Tutorials

Step-by-step tutorials for using DeepCausalMMM.

• End-to-End MMM Analysis
  • Overview
  • Step 1: Setup and Data Generation
  • Step 2: Configure the Model
  • Step 3: Prepare Data Pipeline
  • Step 4: Create and Train Model
  • Step 5: Analyze Attribution
  • Step 6: Fit Response Curves
  • Step 7: Budget Optimization
  • Step 8: Save and Export Results
  • Complete Script
  • Next Steps
  • Troubleshooting
  • See Also
• DAG and NOTEARS structure learning
  • Triangular mode (default)
  • NOTEARS mode (opt-in)
  • Key config keys
  • Training behaviour
  • Inspecting the learned graph
  • API reference

Available Tutorials

• End-to-End MMM Analysis: Complete end-to-end MMM workflow with synthetic data

• DAG and NOTEARS structure learning: DAG structure learning — triangular default and opt-in NOTEARS mode (v1.0.21+)

Coming Soon

• Custom Configuration: How to customize the model configuration for different use cases

• Real-World Examples: Industry-specific use cases and best practices