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  • User Guide
  • Examples
  • FAQs
  • API Reference
  • Development
  • Changelog
  • GitHub

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  • Uplift Modeling with Custom Likelihood
  • Effect Estimation with Intervention
  • Scalable Predictive Sampling
  • Examples

Examples#

These examples demonstrate aimz’s core capabilities across a range of real-world datasets. Each example highlights a different aspect of the ImpactModel API.

  • Uplift Modeling with Custom Likelihood
  • Effect Estimation with Intervention
  • Scalable Predictive Sampling

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MCMC Support

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Uplift Modeling with Custom Likelihood

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