{"library":"ml-wrappers","title":"ml-wrappers","description":"Machine Learning Wrappers SDK for Python (v0.6.3) provides wrapper classes to unify model outputs for interpretability and fairness tools. Active development by Microsoft.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install ml-wrappers"],"cli":null},"imports":["from ml_wrappers import ModelWrapper","from ml_wrappers import DatasetWrapper"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from ml_wrappers import ModelWrapper\nimport pandas as pd\n\nmodel = ...  # your trained model\nX_test = pd.DataFrame({'feature': [1, 2, 3]})\nwrapped = ModelWrapper(model=model, model_task='classification')\n# wrapped.predict(X_test)  # returns structured output","lang":"python","description":"Wrap a ML model with ModelWrapper to unify predict/predict_proba outputs.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}