Add posterior quality validation test #10
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New test that verifies the learned posterior is significantly narrower than the prior, catching gross inference failures while allowing for imperfect convergence in limited test runtime. The test: - Trains 01_minimal for 150 epochs with GPU - Samples 1000 posterior samples - Checks posterior std < prior_std/10 (~5.77 vs ~57.7) Marked with @pytest.mark.slow and @pytest.mark.gpu. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
test_01_minimal_posterior_qualityto verify inference actually learnsDetails
The test uses a lenient check: posterior std must be at least 10x narrower than prior std (~5.77 vs ~57.7 for U(-100,100) prior). The expected posterior std is ~0.1 (the noise level), but with limited training we may not fully converge.
Marked with
@pytest.mark.slowand@pytest.mark.gpu- requires GPU for training and sampling.Test plan
🤖 Generated with Claude Code