[joshb-code]

Contributor: Joshua Sebastian (joshb-code)

Contribution Type: Documentation

Description: Follow-up to #1341 (addresses the remaining review suggestion) and #324:

• Adds a "Writing a custom strategy" section to the ensemble API page showing how to subclass BaseInterpreterEnsemble and implement _ensemble (autodoc hides private methods, so the signature and tensor shapes were not visible). I ran the example with three RandomBaseline experts; it returns the expected shapes.
• Fixes two Sphinx errors from the docs build: |B| in the ComprehensivenessMetric and SufficiencyMetric docstrings was parsed as an undefined substitution reference; it is now escaped.
• Lengthens the "Interpretability" heading underline in docs/api/interpret.rst (Sphinx "Title underline too short" warning).

I rebuilt the docs locally; these three warnings/errors no longer appear. Docstring changes are formula-line only (2 lines).

Files to Review:

• docs/api/interpret/pyhealth.interpret.methods.ensemble.rst - new example section
• docs/api/interpret.rst - heading underline
• pyhealth/metrics/interpretability/comprehensiveness.py - escape |B|
• pyhealth/metrics/interpretability/sufficiency.py - escape |B|

🤖 Generated with Claude Code

[Logiquo]

/review

[github-actions]

Test Coverage

Total: 74.97% (21247 / 28339 lines)

Modified file	Coverage	Lines
pyhealth/metrics/interpretability/comprehensiveness.py	100.00%	6 / 6
pyhealth/metrics/interpretability/sufficiency.py	100.00%	7 / 7
pyhealth/models/__init__.py	100.00%	53 / 53
pyhealth/models/sequence_embedding.py	100.00%	148 / 148

Workflow run · 6adc3cd

[github-actions]

Previous review

_{Reviewed commit 757738f}

[github-actions]

Previous review

AI Review

suggestion: approve
decision: approve

Thank you for this contribution, Joshua. The new "Writing a custom strategy" section makes the _ensemble signature and tensor shapes visible, which autodoc hides. The Sphinx warning fixes are also useful.

The change looks ready to merge.

• The example matches the base class contract: _ensemble takes (B, I, M) and returns (B, M).
• Escaping |B| as \\|B\\| in the non-raw docstrings gives \|B\| in RST, which fixes the substitution-reference error. The existing \\ in the same docstrings confirms they are non-raw.
• The heading underline now matches the title length.
• Coverage: the two modified metric files are at 100%, and the repository total is 74.72%. Both are above the bar (80% per file, 60% overall). No new behavior is added, so no new tests are needed.

Optional suggestions:

• The snippet uses model and batch without defining them. A one-line comment saying where they come from would help readers.
• You said you ran the example with RandomBaseline experts, but the snippet uses IntegratedGradients, DeepLift and LimeExplainer. Consider making the two match, or noting that any experts work.

_{Reviewed commit 757738f}

[Logiquo]

/review

[github-actions]

_{Reviewed commit 8d428a6}

[github-actions]

AI Review

suggestion: approve
decision: approve

Thank you for this contribution. The new "Writing a custom strategy" section makes the _ensemble signature and tensor shapes visible, which autodoc hides. The docs-warning fixes are also welcome. The change looks ready to merge.

Coverage: the whole repository is at 74.97%, above the 60% bar. The changed files under pyhealth/ are at 100%. Tests aren't expected for a docs-only change like this.

Optional suggestions:

• In the two docstrings, the source now has \\\\|B\\\\|. In a non-raw string that produces two backslashes in the docstring text. Sphinx may then show a literal backslash in the rendered formula. Using \\|B\\| in the source would give a single backslash that escapes the | and renders as |B|. Please check the rendered HTML to confirm which you get.
• The example comment says model is "a trained PyHealth model". DeepLift requires a model that implements Interpretable, so a short note about that would help readers.
• You ran the example with RandomBaseline experts, not the IG, DeepLift and Lime experts it shows. Consider saying so, or checking it once with the real experts.

_{Reviewed commit 8d428a6}