Coverage for packages / dqm-ml-pytorch / src / dqm_ml_pytorch / __init__.py: 100%
3 statements
« prev ^ index » next coverage.py v7.13.5, created at 2026-04-15 10:11 +0000
« prev ^ index » next coverage.py v7.13.5, created at 2026-04-15 10:11 +0000
1"""DQM ML PyTorch package for deep learning-based data quality metrics.
3This package provides metric processors that use PyTorch models for
4computing image embeddings and domain gap metrics.
6Classes:
7 ImageEmbeddingProcessor: Extracts image embeddings using pre-trained CNNs.
8 DomainGapProcessor: Computes statistical distances between datasets.
9"""
11from dqm_ml_pytorch.domain_gap import DomainGapProcessor
12from dqm_ml_pytorch.image_embedding import ImageEmbeddingProcessor
14__all__ = ["DomainGapProcessor", "ImageEmbeddingProcessor"]