aiverify
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aiverify-foundation
AI Verify
Add ONNX model support as a "convertor" between different unsupported models. The ONNX model support should be added as a core_module under the test engine.
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description I have been following the tutorial After the tests are completed, it...
Fix NOTICE file for legibility and align different output types.
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description Hi, am still testing the library! I was trying to upload a...
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description Unable to upload pipeline models (in folders) when running AI verify with...
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description _No response_ ### Current Behavior _No response_ ### Expected Behavior _No response_...
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description I want to upload a sklearn model, binary_classification_mock_credit_risk_sklearn.linear_model._logistic.LogisticRegression.sav from your tutorial. I...
### Is there an existing issue for this? - [X] I have searched the existing issues ### Description Companion update required to standardize the meta data across all plugin components....
- Make plugin arguments optional as users are required to input something now even if the arguments are optional
Hi, I was running the robustness test for tabular dataset (serialised with pickle, pandas version 1.5.3). As per the suggested [algorithm user inputs](https://imda-btg.github.io/aiverify-developer-tools/stock_plugins/robustness_toolbox/#algorithm-user-inputs), I set the annotated ground truth path...
