Implement Feature for Issue #379: MMD Hypothesis Test#384

Merged

vpratz merged 95 commits intobayesflow-org:devfrom

thegialeo:feat-hypothesis-test

May 2, 2025

Commits on Apr 2, 2025

add paper reference to module docstring of diagnostics/metrics/mmd_hypothesis_test.py
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add type casting between np.ndarray and bf.types.Tensor with keras.ops
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change functions names to have compute_ prefix (see PR comments)
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move module docstring to function docstrings
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import compute_mmd_hypothesis_test and compute_mmd_hypothesis_test_from_summaries into diagnostics.metrics
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- update compute_mmd_hypothesis_test_from_summaries implementation
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update implementation of compute_mmd_hypothesis_test + restrict approximator to be ContinuousApproximator due to assumption of attribute summary_network existing
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add unit test for output shape of compute_mmd_hypothesis_test
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handle case for when ContinuousApproximator.summary_network is None
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add unit test case for when ContinuousApproximator.summary_network = None
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unit test for computed MMD values to be positive
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add test cases for same and different distributions mmd hypothesis test on simple distributions like uniform and normal
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add Raises for unequal shapes of observed and reference summaries on dimensions except the first one
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add Raises to docstring
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add test cases for Raises
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add test cases for indirect Raises through compute_hypothesis_test
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add Raises to compute_hypothesis_test for unmatching observed and reference data + add corresponding test cases
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rename unit test functions
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Commits on Apr 4, 2025

Commits on Apr 6, 2025

adjust unit tests
thegialeo
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Commits on Apr 17, 2025

Commits on Apr 28, 2025

Commits on Apr 30, 2025

rename summary_outputs to summaries
vpratz
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Commits on May 2, 2025

Merge remote-tracking branch 'upstream/dev' into feat-hypothesis-test
vpratz
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