[Repo Assist] improve(gcm): export missing public symbols from dowhy.gcm - #1724
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Four symbols are documented, tested, and used by name in docstrings or
user-facing docs but were absent from dowhy/gcm/__init__.py, forcing
users to reach into sub-modules directly:
* RankBasedAnomalyScorer – mentioned by name in MedianCDFQuantileScorer
docstring as a 'more rigorous' alternative;
tests already import from dowhy.gcm.anomaly_scorers
* conditional_anomaly_scores – a useful building block of anomaly_scores();
tests already import from dowhy.gcm.anomaly
* arrow_strength_of_model – per-mechanism companion to arrow_strength();
used in confidence_intervals.py docstring example
and in tests
* intrinsic_causal_influence_sample – sample-level companion to
intrinsic_causal_influence(); fully documented
and tested, but not reachable from dowhy.gcm
All four symbols are now exported via dowhy/gcm/__init__.py.
No logic changes; tests unchanged (all 32 pass).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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This was referenced Jul 31, 2026
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🤖 This is an automated PR from Repo Assist, an AI assistant for this repository.
Summary
Four public GCM symbols have comprehensive docstrings and are tested, but are not accessible via
import dowhy.gcm— forcing users to reach into internal sub-modules.RankBasedAnomalyScorerdowhy.gcm.anomaly_scorersMedianCDFQuantileScorerdocstring as "a statistically more rigorous alternative" — users expect to find it next to the other scorersconditional_anomaly_scoresdowhy.gcm.anomalyanomaly_scores(); used in tests viafrom dowhy.gcm.anomaly import ...arrow_strength_of_modeldowhy.gcm.influencearrow_strength(); appears in theconfidence_intervals.pydocstring example (direct_arrow_strength_of_model) and is testedintrinsic_causal_influence_sampledowhy.gcm.influenceintrinsic_causal_influence(), fully documented with a research paper reference and testedChange
Single file changed —
dowhy/gcm/__init__.py:conditional_anomaly_scoresto the.anomalyimport lineRankBasedAnomalyScorerto the.anomaly_scorersblockarrow_strength_of_modelandintrinsic_causal_influence_sampleto the.influenceblockNo logic changes anywhere.
Test Status
Tests run:
test_anomaly_scorers.py,test_anomaly.py,test_arrow_strength.py,test_intrinsic_influence.pyFormat: ✅
poe format_checkpassesLint: ✅
poe lintpasses (no new issues)