GSoC 2026 Contributor Expands Neural Network Builder API for sbi at Midpoint

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A Google Summer of Code 2026 contributor working on the sbi library has reached the program's halfway mark, merging two pull requests into the gsoc-2026 branch. PR #1904 extended the DensityEstimatorBuilder to support Neural Likelihood Estimation trainers, requiring a refactor to role-neutral method signatures so the same builder could serve both NPE and NLE models correctly. Mentor Jan Teusen suggested parameterizing near-identical integration tests for NPE and NLE, reducing code duplication while maintaining test coverage. PR #1912 introduced a MixedDensityEstimatorBuilder to handle datasets with both continuous and discrete variables, supporting mixed estimator types like MNPE and MNLE. A key improvement was adding an early type-check during trainer initialization to catch incompatible builder configurations upfront, preventing costly failures after long training runs.

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