Metadata-Version: 2.4
Name: dqm-ml-pytorch
Version: 1.1.6
Summary: Python library designed to provide core dqml domain gap metrics, as well as common API shared by metrics
Author-email: Safenai <support@safenai.io>, IRT SystemX <support@irt-systemx.fr>
License-Expression: Apache-2.0
Project-URL: Homepage, https://irt-systemx.github.io/dqm-ml
Project-URL: Documentation, https://irt-systemx.github.io/dqm-ml
Project-URL: Repository, https://github.com/IRT-SystemX/dqm-ml
Keywords: ml,metrics,data
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Typing :: Typed
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: torch>=2.0.0
Requires-Dist: torchvision>=0.15.0
Requires-Dist: pyarrow>=6.0.0

# DQM-ML PyTorch

An extension for DQM-ML V2 providing advanced metrics that require PyTorch and deep learning models.

## Features

* Domain Gap Analysis: Measures statistical distance between source and target distributions using:
  * `fid` (Frechet Inception Distance)
  * `klmvn_diag` (KL-Divergence)
  * `mmd_linear` (Maximum Mean Discrepancy)
  * `wasserstein_1d`

## Requirements

* `torch`
* `torchvision`
* `scipy`
