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Ran 05 Apr 2026 10:47AM UTC

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Committed 05 Apr 2026 07:20AM UTC coverage: 94.393% (-0.6%) from 95.001%

Job # 23997194235.11

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push

github

Committed by

yzhao062

Commit Message

feat: add EmbeddingOD for multi-modal anomaly detection via foundation model embeddings

Add EmbeddingOD wrapper that chains embedding encoders (sentence-transformers,
OpenAI, HuggingFace, or any callable) with any of PyOD's 50+ detectors,
enabling text and image anomaly detection through the standard PyOD API.

Implements the two-step approach validated by NLP-ADBench (EMNLP 2025):
pretrained embeddings + classical OD outperforms end-to-end methods.

Includes benchmark-informed presets (for_text, for_image), encoder registry
with string resolution, optional PCA dimensionality reduction, and
setup.py extras for optional dependencies.

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