Add probabilistic modeling API with model factory and runner #11
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This was referenced May 27, 2025
This was referenced May 27, 2025
Leguark
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Leguark
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sort_likelihoods_for_gravity
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graphite-base/11
Relocated `change_backend_gempy` call to `run_gempy_forward` to ensure proper backend configuration during execution. Removed redundant imports to clean up the module.
Refactored the code to define and utilize the `GemPyPyroModel` type alias for improved type clarity across the codebase. Updated method signatures and relevant imports to align with the new type definition.
Introduces `run_predictive` in the API for running predictive sampling. Refactored existing code in `test_prob_factory` to use the new utility, enhancing modularity and reducing redundancy.
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Probabilistic Modeling Framework for GemPy
This PR introduces a comprehensive framework for probabilistic modeling in GemPy, making it easier to define, run, and analyze probabilistic geological models.
Key Features
make_gempy_pyro_modelto create Pyro models for GemPy with clean separation of concernsGemPyPyroModeltype alias for better type clarity throughout the codebaserun_predictive,run_nuts_inference, andrun_mcmc_for_NUTSNUTSConfigdataclassImplementation Details
run_gempy_forwardfor consistent executionThis PR lays the groundwork for more sophisticated probabilistic modeling in GemPy, making it easier for users to define custom models while maintaining a clean separation between model definition, execution, and analysis.