Add probabilistic model examples and tests for GemPy #5
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Introduce a test script for probabilistic geomodeling using Pyro, incorporating prior sampling, posterior inference, and visualization. This enhances testing coverage with a probabilistic approach while demonstrating Pyro integration with GemPy.
Updated the development log to include a task for investigating the segmentation function, ensuring comprehensive tracking of future tasks.
Refactored probabilistic model setup by modularizing `_prob_run` for clarity and reusability. Added posterior mean value checks, MCMC convergence diagnostics, and cleaned redundant comments to enhance readability and test robustness.
Streamlined probability testing by refining grid logic and posterior checks, added print diagnostics for clarity, and adjusted posterior value assertions. Moved geological layer thickness computation to a separate `_likelihood` function for better modularity and maintainability.
Added "Doing" section highlighting ongoing tasks like code compression and GemPy posterior visualization. This improves clarity on current development efforts.
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[DOC] Adding development roadmap and probabilistic modeling enhancements
This PR introduces a comprehensive development roadmap and implements probabilistic modeling capabilities with Pyro integration.
Key Changes:
gempy_probability/modules/model_definition/The probabilistic workflow now supports sampling from priors, MCMC inference with NUTS, and comprehensive posterior analysis. The implementation includes proper separation of model definition, likelihood computation, and inference procedures.