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yzhao062 / pyod / 24023212910
94%
master: 95%

Build:
Build:
LAST BUILD BRANCH: development
DEFAULT BRANCH: master
Ran 06 Apr 2026 07:46AM UTC
Jobs 11
Files 124
Run time 1min
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06 Apr 2026 07:29AM UTC coverage: 94.514% (+0.1%) from 94.401%
24023212910

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yzhao062
feat: add MultiModalEncoder and MultiModalOD for multi-modal anomaly detection

MultiModalEncoder (early fusion): encodes each modality with its own
encoder, concatenates embeddings. Supports per-sample missing data via
mean imputation from training embeddings, passthrough for numeric
features, and per-modality weights.

MultiModalOD (score fusion): runs a separate detector per modality,
standardizes scores with training-time scalers, combines via
average/maximization/median. Missing modalities at test time are
imputed with the training mean score (0 after standardization).

Both classes handle missing data gracefully and integrate with
EmbeddingOD for text/image modalities. 81 tests, 5 Codex review rounds.

303 of 306 new or added lines in 4 files covered. (99.02%)

11733 of 12414 relevant lines covered (94.51%)

10.4 hits per line

Uncovered Changes

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1.25% pyod/models/embedding.py
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4.13% pyod/utils/encoders/__init__.py
Jobs
ID Job ID Ran Files Coverage
1 24023212910.1 06 Apr 2026 07:46AM UTC 124
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2 24023212910.2 06 Apr 2026 07:51AM UTC 124
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3 24023212910.3 06 Apr 2026 07:53AM UTC 124
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4 24023212910.4 06 Apr 2026 07:54AM UTC 124
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5 24023212910.5 06 Apr 2026 07:54AM UTC 124
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6 24023212910.6 06 Apr 2026 07:58AM UTC 124
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7 24023212910.7 06 Apr 2026 07:58AM UTC 124
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8 24023212910.8 06 Apr 2026 07:59AM UTC 124
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9 24023212910.9 06 Apr 2026 08:00AM UTC 124
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10 24023212910.10 06 Apr 2026 08:05AM UTC 124
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11 24023212910.11 06 Apr 2026 08:07AM UTC 124
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Source Files on build 24023212910
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