Reference¶

This section is the technical map for AnomaLog.

Use it for two things:

• navigating the public API
• orienting yourself in the codebase before drilling into the generated reference pages

Reference pages¶

Codebase layout¶

• anomalog/__init__.py exposes the small top-level public API
• anomalog/dataset.py contains the fluent DatasetSpec builder
• anomalog/presets.py defines built-in dataset specifications
• anomalog/parsers/ contains structured and template parser abstractions
• anomalog/sources/ contains dataset materialisation logic
• anomalog/labels.py contains label readers and lookups
• anomalog/sequences.py contains sequence grouping and split behavior
• anomalog/representations/ contains model-facing sequence representations
• anomalog/_runtime/ contains internal orchestration code

Experiment layer¶

The experiments/ directory is useful for reproducible model experimentation after preprocessing, but it is separate from the core public API of the library.