daisybell 0.4.3

Scan AI models for problems

daisybell

A scanner that will scan your AI models for problems. Currently it focuses on bias testing. It is currently alpha.

How to Use

First install it:

pip install daisybell

Run it in this manner (currently supports models from HuggingFace’s repository):

daisybell roberta-base

The scan can output files for further analysis:

daisybell roberta-base --output results/roberta-base

We will infer the task(s) of model by default but to provide specific tasks to test explicitly use the –task switch:

daisybell cross-encoder/nli-distilroberta-base --task zero-shot-classification

That’s it for now. More will come.

Future Work

• More bias tests. More metrics for bias testing based on the research in the field.

• Integration with other types of testing (eg. adversarial robustness)

• More kinds of models besides HuggingFace models. We are especially interested in MLFlow integration.

• Documentation.

Please contribute if you can. Help is always helpful.

License

Apache

Credit

A project of IQT Labs.