innovate documentation

Welcome to the documentation for the innovate library.

Contents:

• innovate package
  • Subpackages
  • Submodules
  • innovate.backend module
  • innovate.plots module
  • Module contents
• Tutorials
  • Norton-Bass Model for Generational Substitution
  • Multi-Product Diffusion Model
  • JAX Backend for High-Performance Computing
  • NDlib Integration for Network-Based Diffusion
  • Counterfactual Analysis
  • Bayesian Fitting for Diffusion Models

Core Modules

• innovate.diffuse package
  • Submodules
  • Module contents
• innovate.compete package
  • Submodules
  • Module contents
• innovate.substitute package
  • Submodules
  • Module contents
• innovate.hype package
  • Submodules
  • Module contents
• innovate.fail package
  • Submodules
  • Module contents
• innovate.adopt package
  • Submodules
  • Module contents
• innovate.path_dependence package
  • Submodules
  • Module contents
• innovate.policy package
  • Submodules
  • Module contents
• innovate.abm
  • CompetitiveDiffusionAgent
  • CompetitiveDiffusionModel
  • DisruptiveInnovationAgent
  • DisruptiveInnovationModel
  • InnovationAgent
  • InnovationModel
  • SentimentHypeAgent
  • SentimentHypeModel
  • Pre-configured Scenarios
  • Example Usage

Utilities

• innovate.plots package
  • Submodules
  • Module contents
• innovate.utils package
  • Submodules
• innovate.adopt.categorization
  • categorize_adopters()
  • innovate.utils.metrics module
  • innovate.utils.model_evaluation module
  • innovate.utils.preprocessing module
  • Module contents
• innovate.fitters package
  • Submodules
  • innovate.fitters.batched_fitter module
  • innovate.fitters.bootstrap_fitter module
  • innovate.fitters.jax_fitter module
  • innovate.fitters.mom_fitter module
  • innovate.fitters.scipy_fitter module
  • Module contents
• innovate.base package
  • Submodules
  • Module contents